Methods and example implementations described herein are directed to interconnect architecture, and more specifically, to Network on Chip (NoC) architectures and the design and management thereof.
The number of components on a chip is rapidly growing due to increasing levels of integration, system complexity and shrinking transistor geometry. Complex System-on-Chips (SoCs) may involve a variety of components e.g., processor cores, Digital Signal Processors (DSPs), hardware accelerators, memory and I/O, while Chip Multi-Processors (CMPs) may involve a large number of homogenous processor cores, memory and I/O subsystems. In both SoC and CMP systems, the on-chip interconnect plays a role in providing high-performance communication between the various components. Due to scalability limitations of traditional buses and crossbar based interconnects, Network-on-Chip (NoC) has emerged as a paradigm to interconnect a large number of components on the chip. NoC is a global shared communication infrastructure made up of several routing nodes interconnected with each other using point-to-point physical links.
Messages are injected by the source and are routed from the source node to the destination over multiple intermediate nodes and physical links. The destination node then ejects the message and provides the message to the destination. For the remainder of this application, the terms ‘components’, ‘blocks’, ‘hosts’ or ‘cores’ will be used interchangeably to refer to the various system components which are interconnected using a NoC. Terms ‘routers’ and ‘nodes’ will also be used interchangeably. Without loss of generalization, the system with multiple interconnected components will itself be referred to as a ‘multi-core system’.
There are several topologies in which the routers can connect to one another to create the system network. Bi-directional rings (as shown in
Packets are message transport units for intercommunication between various components. Routing involves identifying a path composed of a set of routers and physical links of the network over which packets are sent from a source to a destination. Components are connected to one or multiple ports of one or multiple routers; with each such port having a unique ID. Packets carry the destination's router and port ID for use by the intermediate routers to route the packet to the destination component.
Examples of routing techniques include deterministic routing, which involves choosing the same path from A to B for every packet. This form of routing is independent from the state of the network and does not load balance across path diversities, which might exist in the underlying network. However, such deterministic routing may implemented in hardware, maintains packet ordering and may be rendered free of network level deadlocks. Shortest path routing may minimize the latency as such routing reduces the number of hops from the source to the destination. For this reason, the shortest path may also be the lowest power path for communication between the two components. Dimension-order routing is a form of deterministic shortest path routing in 2-D, 2.5-D, and 3-D mesh networks. In this routing scheme, messages are routed along each coordinates in a particular sequence until the message reaches the final destination. For example in a 3-D mesh network, one may first route along the X dimension until it reaches a router whose X-coordinate is equal to the X-coordinate of the destination router. Next, the message takes a turn and is routed in along Y dimension and finally takes another turn and moves along the Z dimension until the message reaches the final destination router. Dimension ordered routing may be minimal turn and shortest path routing.
In heterogeneous mesh topology in which one or more routers or one or more links are absent, dimension order routing may not be feasible between certain source and destination nodes, and alternative paths may have to be taken. The alternative paths may not be shortest or minimum turn.
Source routing and routing using tables are other routing options used in NoC. Adaptive routing can dynamically change the path taken between two points on the network based on the state of the network. This form of routing may be complex to analyze and implement.
A NoC interconnect may contain multiple physical networks. Over each physical network, there may exist multiple virtual networks, wherein different message types are transmitted over different virtual networks. In this case, at each physical link or channel, there are multiple virtual channels; each virtual channel may have dedicated buffers at both end points. In any given clock cycle, only one virtual channel can transmit data on the physical channel. The NoC interconnect is generated from a specification by utilizing design tools. The specification can contain constraints such as bandwidth/QoS/latency attributes that is to be met by the NoC, and can be in various software formats depending on the design tools utilized, Once the NoC is generated through use of design tools on the specification to meet the specification requirements, the physical architecture can be implemented either by manufacturing a chip layout to facilitate the NoC or by generation of a register transfer level (RTL) for execution on a chip to emulate the generated NoC, depending on the desired implementation.
NoC interconnects may employ wormhole routing, wherein, a large message or packet is broken into small pieces known as flits (also referred to as flow control digits). The first flit is the header flit, which holds information about this packet's route and key message level info along with payload data and sets up the routing behavior for all subsequent flits associated with the message. Optionally, one or more body flits follows the head flit, containing the remaining payload of data. The final flit is the tail flit, which in addition to containing the last payload also performs some bookkeeping to close the connection for the message. In wormhole flow control, virtual channels are often implemented.
The physical channels are time sliced into a number of independent logical channels called virtual channels (VCs). VCs provide multiple independent paths to route packets, however they are time-multiplexed on the physical channels. A virtual channel holds the state needed to coordinate the handling of the flits of a packet over a channel. At a minimum, this state identifies the output channel of the current node for the next hop of the route and the state of the virtual channel (idle, waiting for resources, or active). The virtual channel may also include pointers to the flits of the packet that are buffered on the current node and the number of flit buffers available on the next node.
The term “wormhole” plays on the way messages are transmitted over the channels: the output port at the next router can be so short that received data can be translated in the head flit before the full message arrives. This allows the router to quickly set up the route upon arrival of the head flit and then opt out from the rest of the conversation. Since a message is transmitted flit by flit, the message may occupy several flit buffers along its path at different routers, creating a worm-like image.
Based upon the traffic between various end points, and the routes and physical networks that are used for various messages, different physical channels of the NoC interconnect may experience different levels of load and congestion. The capacity of various physical channels of a NoC interconnect is determined by the width of the channel (number of physical wires) and the clock frequency at which it is operating. Various channels of the NoC may operate at different clock frequencies, and various channels may have different widths based on the bandwidth requirement at the channel. The bandwidth requirement at a channel is determined by the flows that traverse over the channel and their bandwidth values. Flows traversing over various NoC channels are affected by the routes taken by various flows. In a mesh or Taurus NoC, there may exist multiple route paths of equal length or number of hops between any pair of source and destination nodes. For example, in
In a NoC with statically allocated routes for various traffic slows, the load at various channels may be controlled by intelligently selecting the routes for various flows. When a large number of traffic flows and substantial path diversity is present, routes can be chosen such that the load on all NoC channels is balanced nearly uniformly, thus avoiding a single point of bottleneck. Once routed, the NoC channel widths can be determined based on the bandwidth demands of flows on the channels. Unfortunately, channel widths cannot be arbitrarily large due to physical hardware design restrictions, such as timing or wiring congestion. There may be a limit on the maximum channel width, thereby putting a limit on the maximum bandwidth of any single NoC channel.
Additionally, wider physical channels may not help in achieving higher bandwidth if messages are short. For example, if a packet is a single flit packet with a 64-bit width, then no matter how wide a channel is, the channel will only be able to carry 64 bits per cycle of data if all packets over the channel are similar. Thus, a channel width is also limited by the message size in the NoC. Due to these limitations on the maximum NoC channel width, a channel may not have enough bandwidth in spite of balancing the routes.
To address the above bandwidth concern, multiple parallel physical NoCs may be used. Each NoC may be called a layer, thus creating a multi-layer NoC architecture. Hosts inject a message on a NoC layer; the message is then routed to the destination on the NoC layer, where it is delivered from the NoC layer to the host. Thus, each layer operates more or less independently from each other, and interactions between layers may only occur during the injection and ejection times.
In
In a multi-layer NoC, the number of layers needed may depend upon a number of factors such as the aggregate bandwidth requirement of all traffic flows in the system, the routes that are used by various flows, message size distribution, maximum channel width, etc. Once the number of NoC layers in NoC interconnect is determined in a design, different messages and traffic flows may be routed over different NoC layers. Additionally, one may design NoC interconnects such that different layers have different topologies in number of routers, channels and connectivity. The channels in different layers may have different widths based on the flows that traverse over the channel and their bandwidth requirements.
In a NoC interconnect, if the traffic profile is not uniform and there is a certain amount of heterogeneity (e.g., certain hosts talking to each other more frequently than the others), the interconnect performance may depend on the NoC topology and where various hosts are placed in the topology with respect to each other and to what routers they are connected to. For example, if two hosts talk to each other frequently and require higher bandwidth than other interconnects, then they should be placed next to each other. This will reduce the latency for this communication which thereby reduces the global average latency, as well as reduce the number of router nodes and links over which the higher bandwidth of this communication must be provisioned.
Network elements of NoC generally use cut-through architecture, where arbitration of frames/flits (of a packet) for forwarding to destination port(s) starts as soon as the destination address information is retrieved from initial frames/flits of the packet. A NoC element using cut-through architecture starts forwarding the flits as soon as the destination/next hop information is available and generally blocks the output channel till the last frame/flits of the packet is forwarded. The cut-through architecture is marked as low latency, however the overall performance and resource utilization of the network elements reduces as the output channels are blocked even if it is not transmitting any data. There may be some idle cycles at the output channel due the fact that the input channel may be feeding the data at slower rate when compared with the output channel, or the input channel may have its width less than that of the output channel. In a cut-through NoC design, when multi-flit packets travel through a channel, the channel is locked for the entire duration of the packet as interleaving of multiple packets on the same channel is generally not allowed to avoid deadlock. In such cases, if packet transmission is slow, i.e. flits are not being sent every clock cycle on the channel, then the channel will be underutilized during this transmission, leading to lower NoC performance and efficiency. Slow transmission of packets on a channel may occur due to a variety of reasons, including but not limited to slow input rate, smaller channel bandwidth, channel width, traffic specification, channel bandwidth, among other like parameters. Idle cycle for a channel may occur if the transmitting agent is sending flits of a packet at a lower rate than the capacity of the channel or when less than one flit per clock cycle is being transmitted. Slow transmission of packets or idle cycle may also occur when a packet goes from a narrow channel to a wide channel, for example, when packets moves from 64-bit output channel to 128-bit channel. Idle cycle may also occur when a channel operating at low clock frequency transmits flits to a channel operating at high clock frequency. For example, when an input channel operating at 100 MHz sends a flit per 100 MHz clock cycle to an output channel operating at 200 MHz, the output channel will see a flit every alternate cycle only. Flits may arrive at lower rate at a channel if there is a performance bottleneck due to lack of flow control buffers and full throughput is not maintained on the channel.
To overcome the limitations of the cut-through scheduling architecture, store-and-forward switching architecture were proposed, where the entire packet is stored before starting routing arbitration for forwarding the packet to the destination address/next hop in the network. All frames/flits of the packets are stored in the buffer of the network element before scheduling the initial flits and subsequent flits of the packet to the next hop or destination address. To store all flits of the packet, a buffer of size equal to the longest possible packet needs to be attached with each network element, and therefore, although store-and-forward switching improves throughput rate and utilization of output network elements in some cases, it may reduce the latency of the network. It may not be a desirable option to provide a big buffer to each network element to store the longest possible packet as the average packet size may be much smaller than the longest allowed packets, and hence the part of the costly buffer would be kept idle for most of the time. Also, latency of the network element may suffer as the network element may wait for arrival of the entire packet before scheduling the packet to the next hop or destination address. Architectures can also include hybrid channels (hybrid of store-and-forward and cut-through), wherein buffer of a NoC can buffer flits of each incoming packet till its defined buffer size is full before forwarding the buffered flits to the next hop, which, although in most cases can buffer the complete packet, in certain other cases, only a part of the packet is buffered and the remaining flits of the packet are sent in the subsequent set of buffered flits, like in a cut-through architecture.
Therefore, there is a need for a method, a computer readable medium, and a NoC architecture/construction that can automatically configure some of the channels of network element as store-and-forward channels, and other channels as cut-through channels or even hybrid channels based on the NoC specification, traffic profile, bandwidth/width/frequency parameters, among other parameters so as to reduce the latency, and maintain high performance/throughput/utilization of network resources.
Aspects of the present disclosure may include a method for generating a NoC having a plurality of power domains, a plurality of voltage domains, and a plurality of clock domains, wherein the method is conducted through processing of a power specification for defined power domains, voltage domains and clock domains, the power domains, voltage domains and the clock domains associated with physical locations and dynamic voltage levels/frequencies.
Aspects of the present disclosure may include a non-transitory computer readable medium, storing instructions for generating a NoC having a plurality of power domains, a plurality of voltage domains, and a plurality of clock domains, wherein the method is conducted through processing of a power specification for defined power domains, voltage domains and clock domains, the power domains, voltage domains and the clock domains associated with physical locations and dynamic voltage levels/frequencies.
Aspects of the present disclosure may further include a NoC involving a power supervisor configured to manage the Network on Chip. The power supervisor may include a plurality of power domain finite state machines for each power domain of the NoC configured to track and coordinate on/off status with SoC power management logic.
Aspects of the present disclosure may further include a power supervisor configured to manage the Network on Chip. The power supervisor may include a plurality of power domain finite state machines for each power domain of the NoC configured to track and coordinate on/off status with SoC power management logic.
Aspects of the present disclosure may further include a non-transitory computer readable medium storing instructions to execute a process for a power supervisor. The instructions may include managing a plurality of power domain finite state machines for each power domain of the NoC configured to track and coordinate on/off status with SoC power management logic.
The following detailed description provides further details of the figures and example implementations of the present application. Reference numerals and descriptions of redundant elements between figures are omitted for clarity. Terms used throughout the description are provided as examples and are not intended to be limiting. For example, the use of the term “automatic” may involve fully automatic or semi-automatic implementations involving user or administrator control over certain aspects of the implementation, depending on the desired implementation of one of ordinary skill in the art practicing implementations of the present disclosure. Further, the example implementations described herein may be used singularly or in any combination with each other, depending on the desired implementation.
In example implementations, a NoC interconnect is generated from a specification by utilizing design tools. The specification can contain constraints such as bandwidth/Quality of Service (QoS)/latency attributes that is to be met by the NoC, and can be in various software formats depending on the design tools utilized. Once the NoC is generated through the use of design tools on the specification to meet the specification requirements, the physical architecture can be implemented either by manufacturing a chip layout to facilitate the NoC or by generation of a register transfer level (RTL) for execution on a chip to emulate the generated NoC, depending on the desired implementation. Specifications may be in common power format (CPF), Unified Power Format (UPF), or others according to the desired specification. Specifications can be in the form of traffic specifications indicating the traffic, bandwidth requirements, latency requirements, interconnections and so on depending on the desired implementation. Specifications can also be in the form of power specifications to define power domains, voltage domains, clock domains, and so on, depending on the desired implementation.
Example implementations involve a power specification which can include constraints and parameters with respect to the power of the NoC. In example implementations, the power specification can define a hierarchy of components and power domains in the systems based on the NoC, and can represent the hardware boundaries. The power specification can include parameters for defining power domains, voltage domains and clock domains of the NoC, which can include the physical locations of the domains, as well as potentially dynamic voltage levels and frequencies. Example of power domain properties can include an Always_on flag to indicate that the power domain must always be on, an autowake capable flag to indicate if the power domain has autowake functionality, and associated voltage domains.
Depending on the desired implementation, the power specification may also include pre-defined power profiles, which describes distinct operating modes indicating the state of all power/voltage/clock domains in the system. The power profiles may be specified via a combination of parameters, such as a list of power domains with an explicitly specified ON/OFF state, a list of power domain dependencies (e.g., if PD A is ON, PD B must be ON, etc.), and so on. Absent pre-defined power profiles, a default power profile set of all possible combinations of power domain on/off status can be applied, according to the desired implementation.
The power specification may also include traffic flows that include described connectivity and routes, as well as optimization rules such as allow_always_on, require_autowake, and so on, depending on the desired implementation. In example implementations, the power specification is utilized to determine the power domain assignment for all NoC elements as illustrated in
In example implementations, functionality is provided to generate traffic driven power domain state requirements for the NoC. Functionality is provided so that given a pair of power domains that are on, the functions can determine which other power domains must be on to sustain traffic flow (e.g. to avoid possible interruption of any traffic flows), or that given a traffic flow, which power domains must be on. Such functionality can be incorporated into the PS as described with respect to
As a power management strategy, one technique that is utilized is to clock gate logic. In such implementations however, the clocks cannot be turned off for logic that is actively utilized. For example, if that logic is performing a function that is expected to be active, and the clock is stopped so that the function is stopped, then the function is broken. In example implementations, the interface to the power management unit, the Q-channel, can provide the signal indicating that the power is to be turned off, which could potentially force the power domain to be idle. In example implementations, there are fencing and draining process implementations that start halting transactions at the boundary to make sure that all transactions are completed before acknowledging the signal, to allow a portion of the logic to be in an idle state, and subsequently stop the clock safely. Such a mechanism can thereby be utilized to control clock gating.
In example implementations, power domain dependencies can be determined by a process involving the parsing of traffic flows from the specification, wherein the traffic flows are described as transactions between NoC elements (e.g. between master and slave), and then each path taken for the traffic flows are determined. For the flows traversing paths that cross power domains, the crossed power domains are identified and the traversed power domains are marked as dependencies.
In an example generated NoC solution, there is a PMU 402, a PS 401 and the NoC 403 managed by the PMU 402 and PS 401. The PMU 402 is provided as a SoC power management logic for controlling the NoC 403. The PS 401 is a hardware layer that provides an interface for the customers PMU 402. The PMU 402 logic can request the change to the power status of some portion of the design that interacts with or includes some portion of the NoC, and the PS 401 is responsible for responding to that request by communicating with the various elements within the NoC 403 that will be effected by that request and ensuring that they are in safe state to support the request, ultimately acknowledging or denying that request based on the interaction here. So the overall architecture isolates the details of managing the components within the NoC 403 to a desired level of abstraction.
In example implementations, the power specification defines the power domains, voltage domains and clock domains in the NoC. Through the use of a design tool, the customer can define the physical location, voltage level, clock frequencies and other properties according to the desired implementation.
In example implementations, the interface presented to the customer can be defined in terms of power domains, so that each power domain (PD) that appears within the design has a corresponding state machine. Each power domain finite state machine (PDFSM) is associated with the control of that power domain. This interface can be a set of parallel interfaces between the power domains state machines that communicate to the power domains, and these lines implement a set of signals that fan out to the element within the NoC that provides the interface.
The interface for power management of the NoC is done on a power domain basis. For example, when transitioning between power states (e.g., power down P7), the state machines and the network will communicate with all the elements that may have dependent traffic flows. Example implementations conduct fencing and draining to put the hardware in a state where it is safe to power the selected power domain down.
In example implementations, based on power domain assignment of NoC elements, safe power profile transitions are managed at the power domain level instead at NoC element level. The power profile transitions are implemented through fencing and draining functionality later on in this. By managing power transitions at a power domain level, the status of host elements and NoC elements can be aggregated into a single power domain.
Example implementations of the present disclosure further automatically generate hardware that supports safe NoC operation in any power profile and through transitions between power profiles. In such example implementations, actions that are taken in response to power down requests. For example, when a power domain is powered down, all initiators that might be injecting traffic into the network that depend on that power domain are set to wait for the traffic to complete. When the traffic has completed successfully, the initiators are then informed that that power will be removed. In response, the initiators of the traffic initiate traffic fencing, such that newly arriving transactions at the interfaces are blocked from proceeding.
Fencing can be implemented in several ways. For example, the transaction can be completed immediately (e.g. locally in that interface with an error) or stalled with signaling goes back through the PS). In the latter case, the transaction ultimately directs the PS to issue a request to the PMU handle the new transaction. Behavior may vary depending on the timing of the transaction relative to the power state of the power domain. If the transaction arrives prior to acknowledging that power down request, the power down request is denied. If the transaction occurs after the power down request, the power supervisor (PS) initiates a wake up request to the power manager (PMU).
Fencing is done at a level where based on address of the transaction, only the transactions that are blocked by dependencies upon shut down power domains are fenced, while other transactions are allowed to proceed normally. In example implementations, the translation of the power specification can include a traffic parameter into the encoding information that can be processed to dynamically make that determination.
Thus in example implementations, the state machine for each power domain tracks and coordinates the on/off status with SoC power management logic. The state machine can be configured to signal all initiators with the current power domain status.
Responding to the state machine, the initiators can implement fencing per address range. In this example implementation, the address lookup table describes which power domains must be on for successful transmission of a transaction. The table is consulted and the result is compared against the dynamic power domain status. If any required power domain is off, the transaction is either rejected (immediate return of error response) or held while an autowake request is signaled to return required set of power domains to ON status.
In example implementations, the initiators can implement draining per address range. In such an example implementation, pending transactions and their power domain dependencies, as indicated in the address lookup, are tracked. This can be implemented as an outstanding transaction table.
For each power domain in the NoC, the PS maintains a Power Domain State Machine that provides high-level sequencing of the operations required for power removal and power restoration. The PDFSM drives the Q-channel interface (QREQ/QACCEPT/QDENY/QACTIVE) to the PMU in conjunction with driving signals to elements in the NoC needed to coordinate power sequencing activity. The signals may be mapped into the same power domain as the PMU (e.g. always on—at a minimum with respect to all NoC power domains), and depending on the desired implementation, can be co-located with the PMU, although it is also possible to map the PDFSM into the power domain it is managing.
In example implementations, the PS can include aggregation logic to combine acknowledgment signals and wake request signals returned from NoC elements. This logic is combinatorial and generally distributed in the design to minimize wiring impact, co-located where possible in the power domain of the signals being aggregated, though some gates may live in the PMU domain (particularly those driving QACTIVE).
The outstanding transaction table is a register based structure and hence it is possible to do a combinatorial decode status of requests outstanding to different slaves and PDs associated with them. Further detail of the outstanding transaction table is provided with respect to
As illustrated in
In an example implementation, power domain dependencies can also be predicted by the PS by determining what power domains can be powered down without impacting to power traffic. In another example implementation, given a power profile the PS can also determine what can be turned on to avoid interrupting traffic. The power profile can be displayed during a simulation for a NoC designer, or can be utilized to generate HW functions in silicon that can generate the information for the intended power state (e.g., signal additional power domains that can be powered down/powered on or what should be powered on).
The address table can include the base address, mask, routing information, power domain dependencies. Power domain dependencies can involve a bit vector, having one bit per power domain (e.g. 1 indicates dependencies, 0 indicates independent). In example implementations, when a transaction containing an address arrives at the host interface of the master bridge, the master bridge refers to the table, utilizes the base address and mask to determine which address to forward the transaction, and determines the routing information for determining how the packet is to be formed.
In example implementations of a NoC, a transaction arrives at a host interface of a master bridge. The transaction contains an address, whereupon the host interface refers to the table as illustrated in
Each of the master bridges can provide a fence acknowledgement signal (fence_ack), which can be utilized as an input that enables a transition to the next state. Each PDFSM generates a pd_active signal that is connected to one or more master bridges. Each master bridge synchronizes the pd_active signal to its own local clock. Upon recognizing a transition in the locally synchronized version of pd_active, each master bridge initiates fencing and completes the draining of outstanding transactions (pd_active 1−>0), or ceases fencing (pd_active 0−>1).
Upon completion of fencing and draining, each master bridge drives a fence_ack_n signal 1−>0 and a fence_done_n signal 0−>1. Upon ceasing fencing, each master bridge drives fence_ack_n 0−>1 and fence_done_n 1−>0.
In example implementations, the fence_ack_n signals from all master bridges are combined via an OR function to produce a signal fence_ack_asserted_n which is sent to the corresponding PDFSM, and the PDFSM synchronizes this signal to its own clock. The state machine is designed to wait until after it drives pd_active 1−>0 to determine the locally synchronized version of fence_ack_aggregated_n transition 1−>0 before advancing to the next state. Further, the fence_done_n signals from all master bridges can be combined via an OR function to produce fence_ack_deasserted_n which is sent to the corresponding PDFSM, and it synchronizes this signal to its own clock. The state machine is designed to wait after it drives pd_active 0−>1 to see its locally synchronized version of fence_ack_deasserted_n transition 1−>0 before advancing to the next state.
In example implementations, when one or more master bridges exist in power domains that are rendered inactive (e.g., clock stopped or power removed), the bridges can no longer properly respond to pd_active with acknowledgments via fence_ack_n and fence_done_n. To avoid blocking progress of the PDFSM, the values of fence_ack_n and fence_done_n driven by the bridges are set to 0, removing them from participating in the handshake. In such a situation, there is also a hazard when the master bridges are woken up. This hazard arises from the fact that there is propagation delay between the transition of pd_active at the output of the PDFSM and the time it arrives and passes through synchronizing registers in each master bridge. There is a corresponding delay in return paths of fence_ack_n and fence_done_n. From the time a master bridge wakes back up for the duration of this propagation delay, the master bridge and the PD FSM could improperly advance states.
To protect against the above hazard, a local timer is implemented in the PDFSM at the state transition points where it is vulnerable. The local timer forces the PDFSM to wait for the duration of the propagation delay to ensure that synchronization between the PDFSM and the master bridges participating in the handshake has been restored before the PDFSM interprets the values received on fence_ack_asserted_n and fence_ack_deasserted_n to determine whether or not to advance to the next state. Further examples of the state diagram for the PDFSM are provided with respect to
In an example draining function based on
OR logic is applied on the PD dependencies and the PD_Active signal to determine if draining is complete. If the resulting signal is zero, then draining has completed and no outstanding transactions for the power domain are required.
Through use of the table of
In
As illustrated in
The example function of
In example implementations, clock gating functions can also be implemented to facilitate shut down across different clock domains. Clock functions can also be managed for handling other clock issues such as wire delay.
As illustrated in
In example implementations, a hysteresis counter can be implemented for power management. In such example implementations, when a power domain has been idle for a threshold of cycles, the PS can be configured to conduct a clock gate which functions like a virtual power down, and can then turn off the clock to save power.
The ACKs are aggregated to move the state in PDFSM, as the state transition may rely on ACK. The aggregated ACKs are to be used internally by the bridge and synchronized to the local clock domain as the local clock domain may contribute to skew, and a reset signal is provided to all devices.
In an example implementation for the power down request, the PMU drives the power down request signal, and the PS determines if the power down request can be accepted or not based on the power domain dependencies. PMU holds the QREQn signal for the power domain low until the PS responds by asserting either power down accepted (QACCEPT) or denied (QDENY) for the power domain. The PS returns to the normal operation by setting QREQn to be high for the power domain and waiting for either the QACCEPT for the power domain to be high or QDENY to be low before initiating a new power down request for the power domain. When a power domain is powered down, the QREQ, QACCEPT, QDENY and QACTIVE signal for the power domain is set to zero. Wake Requests are initiated by the PS by driving the QACTIVE signal to be high for the requested power domain.
In the example of
In the example as depicted for
If the NoC elements are not ready to accept the new power down request (e.g. some fence_ack_n and/or sleep_ack_n signals from NoC elements remain asserted, indicating that fencing is being conducted), the request is not acknowledged by driving QDENY to be high for the power domain, thereby advancing the PDFSM to the SLEEP_NACK state. Otherwise, the PS initiates the power down procedure by driving pd_active to be low for the power domain and by advancing the PDFSM to the FENCE_DRAIN state 1006.
During the FENCE_DRAIN state 1006, the NoC master elements observe the 1−>0 transition on pd_active for the power domain and initiate fencing and draining depending on the desired implementation. The NoC master elements provide a signal completion back to the PS by asserting fence_ack corresponding to the power domain and the NoC master element. When all NoC master elements of the power domain have asserted such a signal, the PDFSM advances to the SLEEP_WAIT state 1007.
During the SLEEP_WAIT state 1007, the PS is configured to wait for a Sleep Delay Counter to expire before moving on to the SLEEP_REQ state 1008. The purpose is to allow additional time for traffic to drain from the NoC when protocols do not allow for all of the master bridges to definitively determine when all of the outstanding transactions have completed (e.g., NSIP streaming protocol). This state may be bypassed directly to SLEEP_REQ 1008 when such conditions do not exist.
During the SLEEP_REQ state 1008, the PS asserts sleep_req for the power domain, which is transmitted to all NoC elements within the affected power domain. If the fence drain does not complete within a timeout window, the PS will move to SLEEP_NACK 1009 to return NACK to the PMU by sending QDENY for the power domain. The NoC element waits until the NoC element is safely idle (e.g. no traffic pending).
The NoC element de-asserts the link_available signal to upstream interfaces to prevent new traffic from arriving. Such signals only need to be connected for interfaces crossing the power domain boundary. The NoC element asserts sleep_ack to signal power down readiness to the PS. When all NoC elements have asserted sleep_ack, the PS advances to SLEEP_ACK state 1002.
During the SLEEP_ACK state 1002, the PS changes QACCEPT for the power domain to be low, which indicates power down readiness. During this state, the PMU may remove clocks.
To conduct power up for the power domains when starting in the SLEEP_ACK state 1002, QREQ, QACCEPT, reset_pd and pd_active are all low for the power domain. The PMU signals clock/power restoration by driving QREQ to be high for the power domain. Clocks and power are configured to be up and stable before the PMU drives the signal. The PS advances to the WAKE_ACK state 1003.
During the WAKE_ACK state 1003, the PS de-asserts sleep_req for the power domain, as well as reset_pd. The PS waits for sleep_ack_deasserted to go active for the power domain to confirm all elements in the power domain are ready for activity before advancing to the REMOVE_FENCE state 1004.
During the REMOVE_FENCE state 1004, the PS asserts pd_active to the NoC to inform the NoC master elements that they should cease fencing and draining for the power domain. PS waits for fence_ack_deasserted to go active for the power domain to confirm all masters have ceased fencing for the domain before advancing to the ACTIVE state 1005.
During the ACTIVE state 1005, the PS drives QACCEPT to be high for the power domain, thereby completing acknowledgment of the power up and indicating logic is ready for normal operation.
At 1101, the power specification is processed for one or more of power domains, voltage domains, clock domains, power domain properties, operating modes, and power profiles. Such processing can include configuring power domains to be always on, autowake capable, assigned to a voltage domain, and so on in accordance with a desired implementation. The processing of the power profiles can involve determining the distinct operating modes in
At 1102, the traffic flows are processed from the NoC specification which can be in the form of a traffic specification or other implementation. Such processing can involves extracting connectivity and bandwidth requirements from the specification and generating a routing solution that meets these basic requirements.
At 1103, the power domain assignments are determined based on the specified power domains from the power specification, the traffic flows, the NoC element positions, and so on, in a manner that ensures uninterrupted traffic flow in each of the power profiles while meeting all optimization rules.
At 1104, a hardware element is generated to support safe NoC operation. The hardware element can be in the form of a PS managing the NoC, wherein the generation can include generating instructions for the PS to manage the NoC. Thus, based on the power domain assignment of NoC elements, safe power profile transitions are managed at power domain level instead at NoC element level. The PS and PDFSM can be generated as hardware to support safe NoC operation in any power profile and through transition between power profiles.
At 1105, the NoC is generated from the specification, which involves generating instructions for a chip to function as a NoC, or manufacture of the NoC according to the specification, or through compiling of the RTL for execution by the NoC, or other methods depending on the desired implementation. The flow of
Computer device 1205 in computing environment 1200 can include one or more processing units, cores, or processors 1210, memory 1215 (e.g., RAM, ROM, and/or the like), internal storage 1220 (e.g., magnetic, optical, solid state storage, and/or organic), and/or I/O interface 1225, any of which can be coupled on a communication mechanism or bus 1230 for communicating information or embedded in the computer device 1205.
Computer device 1205 can be communicatively coupled to input/user interface 1235 and output device/interface 1240. Either one or both of input/user interface 1235 and output device/interface 1240 can be a wired or wireless interface and can be detachable. Input/user interface 1235 may include any device, component, sensor, or interface, physical or virtual, that can be used to provide input (e.g., buttons, touch-screen interface, keyboard, a pointing/cursor control, microphone, camera, braille, motion sensor, optical reader, and/or the like). Output device/interface 1240 may include a display, television, monitor, printer, speaker, braille, or the like. In some example implementations, input/user interface 1235 and output device/interface 1240 can be embedded with or physically coupled to the computer device 1205. In other example implementations, other computer devices may function as or provide the functions of input/user interface 1235 and output device/interface 1240 for a computer device 1205.
Examples of computer device 1205 may include, but are not limited to, highly mobile devices (e.g., smartphones, devices in vehicles and other machines, devices carried by humans and animals, and the like), mobile devices (e.g., tablets, notebooks, laptops, personal computers, portable televisions, radios, and the like), and devices not designed for mobility (e.g., desktop computers, other computers, information kiosks, televisions with one or more processors embedded therein and/or coupled thereto, radios, and the like).
Computer device 1205 can be communicatively coupled (e.g., via I/O interface 1225) to external storage 1245 and network 1250 for communicating with any number of networked components, devices, and systems, including one or more computer devices of the same or different configuration. Computer device 1205 or any connected computer device can be functioning as, providing services of, or referred to as a server, client, thin server, general machine, special-purpose machine, or another label.
I/O interface 1225 can include, but is not limited to, wired and/or wireless interfaces using any communication or I/O protocols or standards (e.g., Ethernet, 802.11x, Universal System Bus, WiMax, modem, a cellular network protocol, and the like) for communicating information to and/or from at least all the connected components, devices, and network in computing environment 1200. Network 1250 can be any network or combination of networks (e.g., the Internet, local area network, wide area network, a telephonic network, a cellular network, satellite network, and the like).
Computer device 1205 can use and/or communicate using computer-usable or computer-readable media, including transitory media and non-transitory media. Transitory media include transmission media (e.g., metal cables, fiber optics), signals, carrier waves, and the like. Non-transitory media include magnetic media (e.g., disks and tapes), optical media (e.g., CD ROM, digital video disks, Blu-ray disks), solid state media (e.g., RAM, ROM, flash memory, solid-state storage), and other non-volatile storage or memory.
Computer device 1205 can be used to implement techniques, methods, applications, processes, or computer-executable instructions in some example computing environments. Computer-executable instructions can be retrieved from transitory media, and stored on and retrieved from non-transitory media. The executable instructions can originate from one or more of any programming, scripting, and machine languages (e.g., C, C++, C#, Java, Visual Basic, Python, Perl, JavaScript, and others).
Processor(s) 1210 can execute under any operating system (OS) (not shown), in a native or virtual environment. One or more applications can be deployed that include logic unit 1260, application programming interface (API) unit 1265, input unit 1270, output unit 1275, and inter-unit communication mechanism 1295 for the different units to communicate with each other, with the OS, and with other applications (not shown). The described units and elements can be varied in design, function, configuration, or implementation and are not limited to the descriptions provided.
In some example implementations, when information or an execution instruction is received by API unit 1265, it may be communicated to one or more other units (e.g., logic unit 1260, input unit 1270, output unit 1275). In some instances, logic unit 1260 may be configured to control the information flow among the units and direct the services provided by API unit 1265, input unit 1270, output unit 1275, in some example implementations described above. For example, the flow of one or more processes or implementations may be controlled by logic unit 1260 alone or in conjunction with API unit 1265. The input unit 1270 may be configured to obtain input for the calculations described in the example implementations, and the output unit 1275 may be configured to provide output based on the calculations described in example implementations.
Unless specifically stated otherwise, as apparent from the discussion, it is appreciated that throughout the description, discussions utilizing terms such as “processing,” “computing,” “calculating,” “determining,” “displaying,” or the like, can include the actions and processes of a computer system or other information processing device that manipulates and transforms data represented as physical (electronic) quantities within the computer system's registers and memories into other data similarly represented as physical quantities within the computer system's memories or registers or other information storage, transmission or display devices.
Example implementations may also relate to an apparatus for performing the operations herein. This apparatus may be specially constructed for the required purposes, or it may include one or more general-purpose computers selectively activated or reconfigured by one or more computer programs. Such computer programs may be stored in a computer readable medium, such as a computer-readable storage medium or a computer-readable signal medium. A computer-readable storage medium may involve tangible mediums such as, but not limited to optical disks, magnetic disks, read-only memories, random access memories, solid state devices and drives, or any other types of tangible or non-transitory media suitable for storing electronic information. A computer readable signal medium may include mediums such as carrier waves. The algorithms and displays presented herein are not inherently related to any particular computer or other apparatus. Computer programs can involve pure software implementations that involve instructions that perform the operations of the desired implementation.
Various general-purpose systems may be used with programs and modules in accordance with the examples herein, or it may prove convenient to construct a more specialized apparatus to perform desired method steps. In addition, the example implementations are not described with reference to any particular programming language. It will be appreciated that a variety of programming languages may be used to implement the teachings of the example implementations as described herein. The instructions of the programming language(s) may be executed by one or more processing devices, e.g., central processing units (CPUs), processors, or controllers.
As is known in the art, the operations described above can be performed by hardware, software, or some combination of software and hardware. Various aspects of the example implementations may be implemented using circuits and logic devices (hardware), while other aspects may be implemented using instructions stored on a machine-readable medium (software), which if executed by a processor, would cause the processor to perform a method to carry out implementations of the present disclosure. Further, some example implementations of the present disclosure may be performed solely in hardware, whereas other example implementations may be performed solely in software. Moreover, the various functions described can be performed in a single unit, or can be spread across a number of components in any number of ways. When performed by software, the methods may be executed by a processor, such as a general purpose computer, based on instructions stored on a computer-readable medium. If desired, the instructions can be stored on the medium in a compressed and/or encrypted format.
Moreover, other implementations of the present disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the teachings of the present disclosure. Various aspects and/or components of the described example implementations may be used singly or in any combination. It is intended that the specification and example implementations be considered as examples only, with the true scope and spirit of the present disclosure being indicated by the following claims.
This regular U.S. patent application is a continuation application of U.S. patent application Ser. No. 15/701,305, filed Sep. 11, 2017, and claims the benefit of priority under 35 U.S.C. 119 from provisional U.S. patent application No. 62/393,465, filed on Sep. 12, 2016, the entire disclosure of which is incorporated by reference herein.
Number | Name | Date | Kind |
---|---|---|---|
4409838 | Schomberg | Oct 1983 | A |
4933933 | Dally et al. | Jun 1990 | A |
5105424 | Flaig et al. | Apr 1992 | A |
5163016 | Har'El et al. | Nov 1992 | A |
5355455 | Hilgendorf et al. | Oct 1994 | A |
5432785 | Ahmed et al. | Jul 1995 | A |
5563003 | Suzuki et al. | Oct 1996 | A |
5583990 | Birrittella et al. | Dec 1996 | A |
5588152 | Dapp et al. | Dec 1996 | A |
5764740 | Holender | Jun 1998 | A |
5790554 | Pitcher et al. | Aug 1998 | A |
5859981 | Levin et al. | Jan 1999 | A |
5991308 | Fuhrmann et al. | Nov 1999 | A |
5999530 | LeMaire et al. | Dec 1999 | A |
6003029 | Agrawal et al. | Dec 1999 | A |
6029220 | Iwamura et al. | Feb 2000 | A |
6058385 | Koza et al. | May 2000 | A |
6101181 | Passint et al. | Aug 2000 | A |
6108739 | James et al. | Aug 2000 | A |
6249902 | Igusa et al. | Jun 2001 | B1 |
6314487 | Hahn et al. | Nov 2001 | B1 |
6377543 | Grover et al. | Apr 2002 | B1 |
6415282 | Mukherjea et al. | Jul 2002 | B1 |
6674720 | Passint et al. | Jan 2004 | B1 |
6701361 | Meier | Mar 2004 | B1 |
6711717 | Nystrom et al. | Mar 2004 | B2 |
6778531 | Kodialam et al. | Aug 2004 | B1 |
6925627 | Longway et al. | Aug 2005 | B1 |
6967926 | Williams, Jr. et al. | Nov 2005 | B1 |
6983461 | Hutchison et al. | Jan 2006 | B2 |
7046633 | Carvey | May 2006 | B2 |
7065730 | Alpert et al. | Jun 2006 | B2 |
7143221 | Bruce et al. | Nov 2006 | B2 |
7318214 | Prasad et al. | Jan 2008 | B1 |
7379424 | Krueger | May 2008 | B1 |
7437518 | Tsien | Oct 2008 | B2 |
7461236 | Wentzlaff | Dec 2008 | B1 |
7509619 | Miller et al. | Mar 2009 | B1 |
7564865 | Radulescu | Jul 2009 | B2 |
7583602 | Bejerano et al. | Sep 2009 | B2 |
7590959 | Tanaka | Sep 2009 | B2 |
7693064 | Thubert et al. | Apr 2010 | B2 |
7701252 | Chow et al. | Apr 2010 | B1 |
7724735 | Locatelli et al. | May 2010 | B2 |
7725859 | Lenahan et al. | May 2010 | B1 |
7774783 | Toader | Aug 2010 | B2 |
7808968 | Kalmanek, Jr. et al. | Oct 2010 | B1 |
7853774 | Wentzlaff | Dec 2010 | B1 |
7917885 | Becker | Mar 2011 | B2 |
7957381 | Clermidy et al. | Jun 2011 | B2 |
7973804 | Mejdrich et al. | Jul 2011 | B2 |
8018249 | Koch et al. | Sep 2011 | B2 |
8020163 | Nollet et al. | Sep 2011 | B2 |
8020168 | Hoover et al. | Sep 2011 | B2 |
8050256 | Bao et al. | Nov 2011 | B1 |
8059551 | Milliken | Nov 2011 | B2 |
8098677 | Pleshek et al. | Jan 2012 | B1 |
8099757 | Riedle et al. | Jan 2012 | B2 |
8136071 | Solomon | Mar 2012 | B2 |
8190931 | Laurenti | May 2012 | B2 |
8203938 | Gibbings | Jun 2012 | B2 |
8261025 | Mejdrich et al. | Sep 2012 | B2 |
8281297 | Dasu et al. | Oct 2012 | B2 |
8306042 | Abts | Nov 2012 | B1 |
8312402 | Okhmatovski et al. | Nov 2012 | B1 |
8352774 | Elrabaa | Jan 2013 | B2 |
8407425 | Gueron et al. | Mar 2013 | B2 |
8412795 | Mangano et al. | Apr 2013 | B2 |
8438578 | Hoover et al. | May 2013 | B2 |
8448102 | Komachuk et al. | May 2013 | B2 |
8490110 | Hoover et al. | Jul 2013 | B2 |
8492886 | Or-Bach et al. | Jul 2013 | B2 |
8503445 | Lo | Aug 2013 | B2 |
8514889 | Jayasimha | Aug 2013 | B2 |
8541819 | Or-Bach et al. | Sep 2013 | B1 |
8543964 | Ge et al. | Sep 2013 | B2 |
8572353 | Bratt et al. | Oct 2013 | B1 |
8601423 | Philip et al. | Dec 2013 | B1 |
8614955 | Gintis et al. | Dec 2013 | B2 |
8619622 | Harrand et al. | Dec 2013 | B2 |
8635577 | Kazda et al. | Jan 2014 | B2 |
8661455 | Mejdrich et al. | Feb 2014 | B2 |
8667439 | Kumar et al. | Mar 2014 | B1 |
8705368 | Abts et al. | Apr 2014 | B1 |
8711867 | Guo et al. | Apr 2014 | B2 |
8717875 | Bejerano et al. | May 2014 | B2 |
8726047 | Lee et al. | May 2014 | B2 |
8726295 | Hoover et al. | May 2014 | B2 |
8738860 | Griffin et al. | May 2014 | B1 |
8793644 | Michel et al. | Jul 2014 | B2 |
8798038 | Jayasimha et al. | Aug 2014 | B2 |
8819611 | Philip et al. | Aug 2014 | B2 |
8885510 | Kumar et al. | Nov 2014 | B2 |
8930664 | Kulmala | Jan 2015 | B2 |
9210048 | Marr et al. | Dec 2015 | B1 |
9223711 | Philip et al. | Dec 2015 | B2 |
9244845 | Rowlands et al. | Jan 2016 | B2 |
9244880 | Philip et al. | Jan 2016 | B2 |
9253085 | Kumar et al. | Feb 2016 | B2 |
9294354 | Kumar | Mar 2016 | B2 |
9319232 | Kumar | Apr 2016 | B2 |
9444702 | Raponi et al. | Sep 2016 | B1 |
9471726 | Kumar et al. | Oct 2016 | B2 |
9473359 | Kumar et al. | Oct 2016 | B2 |
9473388 | Kumar et al. | Oct 2016 | B2 |
9473415 | Kumar | Oct 2016 | B2 |
9477280 | Gangwar et al. | Oct 2016 | B1 |
9529400 | Kumar et al. | Dec 2016 | B1 |
9529948 | De | Dec 2016 | B2 |
9535848 | Rowlands et al. | Jan 2017 | B2 |
9568970 | Kaushal et al. | Feb 2017 | B1 |
9569579 | Kumar | Feb 2017 | B1 |
9571341 | Kumar et al. | Feb 2017 | B1 |
9571402 | Kumar et al. | Feb 2017 | B2 |
9571420 | Kumar | Feb 2017 | B2 |
9590813 | Kumar et al. | Mar 2017 | B1 |
9660942 | Kumar | May 2017 | B2 |
9699079 | Chopra et al. | Jul 2017 | B2 |
9742630 | Philip et al. | Aug 2017 | B2 |
20020071392 | Grover et al. | Jun 2002 | A1 |
20020073380 | Cooke et al. | Jun 2002 | A1 |
20020083159 | Ward et al. | Jun 2002 | A1 |
20020095430 | Egilsson et al. | Jul 2002 | A1 |
20020150094 | Cheng et al. | Oct 2002 | A1 |
20030005149 | Haas et al. | Jan 2003 | A1 |
20030088602 | Dutta et al. | May 2003 | A1 |
20030145314 | Nguyen et al. | Jul 2003 | A1 |
20030200315 | Goldenberg et al. | Oct 2003 | A1 |
20040006584 | Vandeweerd | Jan 2004 | A1 |
20040019814 | Pappalardo et al. | Jan 2004 | A1 |
20040049565 | Keller et al. | Mar 2004 | A1 |
20040103218 | Blumrich et al. | May 2004 | A1 |
20040156376 | Nakagawa | Aug 2004 | A1 |
20040156383 | Nakagawa et al. | Aug 2004 | A1 |
20040216072 | Alpert et al. | Oct 2004 | A1 |
20050147081 | Acharya et al. | Jul 2005 | A1 |
20050203988 | Nollet et al. | Sep 2005 | A1 |
20050228930 | Ning et al. | Oct 2005 | A1 |
20050286543 | Coppola et al. | Dec 2005 | A1 |
20060002303 | Bejerano et al. | Jan 2006 | A1 |
20060031615 | Bruce et al. | Feb 2006 | A1 |
20060053312 | Jones et al. | Mar 2006 | A1 |
20060075169 | Harris et al. | Apr 2006 | A1 |
20060104274 | Caviglia et al. | May 2006 | A1 |
20060161875 | Rhee | Jul 2006 | A1 |
20060206297 | Ishiyama et al. | Sep 2006 | A1 |
20060209846 | Clermidy et al. | Sep 2006 | A1 |
20060268909 | Langevin et al. | Nov 2006 | A1 |
20070038987 | Ohara et al. | Feb 2007 | A1 |
20070088537 | Lertora et al. | Apr 2007 | A1 |
20070118320 | Luo et al. | May 2007 | A1 |
20070147379 | Lee et al. | Jun 2007 | A1 |
20070162903 | Babb, II et al. | Jul 2007 | A1 |
20070189283 | Agarwal et al. | Aug 2007 | A1 |
20070244676 | Shang et al. | Oct 2007 | A1 |
20070256044 | Coryer et al. | Nov 2007 | A1 |
20070267680 | Uchino et al. | Nov 2007 | A1 |
20070274331 | Locatelli et al. | Nov 2007 | A1 |
20080057896 | Kim et al. | Mar 2008 | A1 |
20080072182 | He et al. | Mar 2008 | A1 |
20080120129 | Seubert et al. | May 2008 | A1 |
20080126569 | Rhim et al. | May 2008 | A1 |
20080127014 | Pandey et al. | May 2008 | A1 |
20080184259 | Lesartre et al. | Jul 2008 | A1 |
20080186998 | Rijpkema | Aug 2008 | A1 |
20080211538 | Lajolo et al. | Sep 2008 | A1 |
20080232387 | Rijpkema et al. | Sep 2008 | A1 |
20090037888 | Tatsuoka et al. | Feb 2009 | A1 |
20090046727 | Towles | Feb 2009 | A1 |
20090067331 | Watsen et al. | Mar 2009 | A1 |
20090067348 | Vasseur et al. | Mar 2009 | A1 |
20090070726 | Mehrotra et al. | Mar 2009 | A1 |
20090083263 | Felch et al. | Mar 2009 | A1 |
20090089725 | Khan | Apr 2009 | A1 |
20090109996 | Hoover et al. | Apr 2009 | A1 |
20090122703 | Gangwal et al. | May 2009 | A1 |
20090125574 | Mejdrich et al. | May 2009 | A1 |
20090125703 | Mejdrich et al. | May 2009 | A1 |
20090125706 | Hoover et al. | May 2009 | A1 |
20090135739 | Hoover et al. | May 2009 | A1 |
20090138567 | Hoover et al. | May 2009 | A1 |
20090150647 | Mejdrich et al. | Jun 2009 | A1 |
20090157976 | Comparan et al. | Jun 2009 | A1 |
20090172304 | Gueron et al. | Jul 2009 | A1 |
20090182944 | Comparan et al. | Jul 2009 | A1 |
20090182954 | Mejdrich et al. | Jul 2009 | A1 |
20090182986 | Schwinn et al. | Jul 2009 | A1 |
20090182987 | Mejdrich et al. | Jul 2009 | A1 |
20090187716 | Comparan et al. | Jul 2009 | A1 |
20090187734 | Mejdrich et al. | Jul 2009 | A1 |
20090187756 | Nollet et al. | Jul 2009 | A1 |
20090201302 | Hoover et al. | Aug 2009 | A1 |
20090210184 | Medardoni et al. | Aug 2009 | A1 |
20090210883 | Hoover et al. | Aug 2009 | A1 |
20090228681 | Mejdrich et al. | Sep 2009 | A1 |
20090228682 | Mejdrich et al. | Sep 2009 | A1 |
20090228689 | Muff et al. | Sep 2009 | A1 |
20090228690 | Muff et al. | Sep 2009 | A1 |
20090231348 | Mejdrich et al. | Sep 2009 | A1 |
20090231349 | Mejdrich et al. | Sep 2009 | A1 |
20090240920 | Muff et al. | Sep 2009 | A1 |
20090245257 | Comparan et al. | Oct 2009 | A1 |
20090256836 | Fowler et al. | Oct 2009 | A1 |
20090260013 | Heil et al. | Oct 2009 | A1 |
20090268677 | Chou et al. | Oct 2009 | A1 |
20090271172 | Mejdrich et al. | Oct 2009 | A1 |
20090276572 | Heil et al. | Nov 2009 | A1 |
20090282139 | Mejdrich et al. | Nov 2009 | A1 |
20090282197 | Comparan et al. | Nov 2009 | A1 |
20090282211 | Hoover et al. | Nov 2009 | A1 |
20090282214 | Kuesel et al. | Nov 2009 | A1 |
20090282221 | Heil et al. | Nov 2009 | A1 |
20090282222 | Hoover et al. | Nov 2009 | A1 |
20090282226 | Hoover et al. | Nov 2009 | A1 |
20090282227 | Hoover et al. | Nov 2009 | A1 |
20090282419 | Mejdrich et al. | Nov 2009 | A1 |
20090285222 | Hoover et al. | Nov 2009 | A1 |
20090287885 | Kriegel et al. | Nov 2009 | A1 |
20090292907 | Schwinn et al. | Nov 2009 | A1 |
20090293061 | Schwinn et al. | Nov 2009 | A1 |
20090300292 | Fang et al. | Dec 2009 | A1 |
20090300335 | Muff et al. | Dec 2009 | A1 |
20090307714 | Hoover et al. | Dec 2009 | A1 |
20090313592 | Murali et al. | Dec 2009 | A1 |
20090315908 | Comparan et al. | Dec 2009 | A1 |
20100023568 | Hickey et al. | Jan 2010 | A1 |
20100031009 | Muff et al. | Feb 2010 | A1 |
20100040162 | Suehiro | Feb 2010 | A1 |
20100042812 | Hickey et al. | Feb 2010 | A1 |
20100042813 | Hickey et al. | Feb 2010 | A1 |
20100070714 | Hoover et al. | Mar 2010 | A1 |
20100091787 | Muff et al. | Apr 2010 | A1 |
20100095256 | Kavalpati | Apr 2010 | A1 |
20100100707 | Mejdrich et al. | Apr 2010 | A1 |
20100100712 | Mejdrich et al. | Apr 2010 | A1 |
20100100770 | Mejdrich et al. | Apr 2010 | A1 |
20100100934 | Mejdrich et al. | Apr 2010 | A1 |
20100106940 | Muff et al. | Apr 2010 | A1 |
20100125722 | Hickey et al. | May 2010 | A1 |
20100158005 | Mukhopadhyay et al. | Jun 2010 | A1 |
20100162019 | Kumar et al. | Jun 2010 | A1 |
20100189111 | Muff et al. | Jul 2010 | A1 |
20100191940 | Mejdrich et al. | Jul 2010 | A1 |
20100211718 | Gratz et al. | Aug 2010 | A1 |
20100223505 | Andreev et al. | Sep 2010 | A1 |
20100228781 | Fowler et al. | Sep 2010 | A1 |
20100239185 | Fowler et al. | Sep 2010 | A1 |
20100239186 | Fowler et al. | Sep 2010 | A1 |
20100242003 | Kwok | Sep 2010 | A1 |
20100269123 | Mejdrich et al. | Oct 2010 | A1 |
20100284309 | Allan et al. | Nov 2010 | A1 |
20100318822 | Scandurra et al. | Dec 2010 | A1 |
20100333099 | Kupferschmidt et al. | Dec 2010 | A1 |
20110022754 | Cidon et al. | Jan 2011 | A1 |
20110035523 | Feero et al. | Feb 2011 | A1 |
20110044336 | Umeshima | Feb 2011 | A1 |
20110060831 | Ishii et al. | Mar 2011 | A1 |
20110063285 | Hoover et al. | Mar 2011 | A1 |
20110064077 | Wen | Mar 2011 | A1 |
20110072407 | Keinert et al. | Mar 2011 | A1 |
20110085550 | Lecler et al. | Apr 2011 | A1 |
20110085561 | Ahn et al. | Apr 2011 | A1 |
20110103799 | Shacham et al. | May 2011 | A1 |
20110119322 | Li et al. | May 2011 | A1 |
20110154282 | Chang et al. | Jun 2011 | A1 |
20110173258 | Arimilli et al. | Jul 2011 | A1 |
20110191088 | Hsu et al. | Aug 2011 | A1 |
20110191774 | Hsu et al. | Aug 2011 | A1 |
20110235531 | Vangal et al. | Sep 2011 | A1 |
20110243147 | Paul | Oct 2011 | A1 |
20110276937 | Waller | Nov 2011 | A1 |
20110289485 | Mejdrich et al. | Nov 2011 | A1 |
20110292063 | Mejdrich et al. | Dec 2011 | A1 |
20110302345 | Boucard et al. | Dec 2011 | A1 |
20110302450 | Hickey et al. | Dec 2011 | A1 |
20110307734 | Boesen et al. | Dec 2011 | A1 |
20110316864 | Mejdrich et al. | Dec 2011 | A1 |
20110320719 | Mejdrich et al. | Dec 2011 | A1 |
20110320724 | Mejdrich et al. | Dec 2011 | A1 |
20110320771 | Mejdrich et al. | Dec 2011 | A1 |
20110320854 | Elrabaa | Dec 2011 | A1 |
20110320991 | Hsu et al. | Dec 2011 | A1 |
20110321057 | Mejdrich et al. | Dec 2011 | A1 |
20120022841 | Appleyard | Jan 2012 | A1 |
20120023473 | Brown et al. | Jan 2012 | A1 |
20120026917 | Guo et al. | Feb 2012 | A1 |
20120054511 | Brinks et al. | Mar 2012 | A1 |
20120072635 | Yoshida et al. | Mar 2012 | A1 |
20120079147 | Ishii et al. | Mar 2012 | A1 |
20120099475 | Tokuoka | Apr 2012 | A1 |
20120110106 | De Lescure et al. | May 2012 | A1 |
20120110541 | Ge et al. | May 2012 | A1 |
20120144065 | Parker et al. | Jun 2012 | A1 |
20120155250 | Carney et al. | Jun 2012 | A1 |
20120173846 | Wang et al. | Jul 2012 | A1 |
20120176364 | Schardt et al. | Jul 2012 | A1 |
20120195321 | Ramanujam et al. | Aug 2012 | A1 |
20120198408 | Chopra | Aug 2012 | A1 |
20120209944 | Mejdrich et al. | Aug 2012 | A1 |
20120218998 | Sarikaya | Aug 2012 | A1 |
20120221711 | Kuesel et al. | Aug 2012 | A1 |
20120260252 | Kuesel et al. | Oct 2012 | A1 |
20120311512 | Michel et al. | Dec 2012 | A1 |
20130021896 | Pu et al. | Jan 2013 | A1 |
20130028083 | Yoshida et al. | Jan 2013 | A1 |
20130028090 | Yamaguchi et al. | Jan 2013 | A1 |
20130028261 | Lee | Jan 2013 | A1 |
20130036296 | Hickey et al. | Feb 2013 | A1 |
20130044117 | Mejdrich et al. | Feb 2013 | A1 |
20130046518 | Mejdrich et al. | Feb 2013 | A1 |
20130051397 | Guo et al. | Feb 2013 | A1 |
20130054811 | Harrand | Feb 2013 | A1 |
20130073771 | Hanyu et al. | Mar 2013 | A1 |
20130073878 | Jayasimha et al. | Mar 2013 | A1 |
20130080073 | de Corral | Mar 2013 | A1 |
20130080671 | Ishii et al. | Mar 2013 | A1 |
20130086399 | Tychon et al. | Apr 2013 | A1 |
20130103369 | Huynh et al. | Apr 2013 | A1 |
20130103912 | Jones et al. | Apr 2013 | A1 |
20130111190 | Muff et al. | May 2013 | A1 |
20130111242 | Heller et al. | May 2013 | A1 |
20130117543 | Venkataramanan et al. | May 2013 | A1 |
20130138925 | Hickey et al. | May 2013 | A1 |
20130145128 | Schardt et al. | Jun 2013 | A1 |
20130148506 | Lea | Jun 2013 | A1 |
20130151215 | Mustapha | Jun 2013 | A1 |
20130159668 | Muff et al. | Jun 2013 | A1 |
20130159669 | Comparan et al. | Jun 2013 | A1 |
20130159674 | Muff et al. | Jun 2013 | A1 |
20130159675 | Muff et al. | Jun 2013 | A1 |
20130159676 | Muff et al. | Jun 2013 | A1 |
20130159944 | Uno et al. | Jun 2013 | A1 |
20130160026 | Kuesel et al. | Jun 2013 | A1 |
20130160114 | Greenwood et al. | Jun 2013 | A1 |
20130163615 | Mangano et al. | Jun 2013 | A1 |
20130174113 | Lecler et al. | Jul 2013 | A1 |
20130179613 | Boucard et al. | Jul 2013 | A1 |
20130179902 | Hoover et al. | Jul 2013 | A1 |
20130185542 | Mejdrich et al. | Jul 2013 | A1 |
20130191572 | Nooney et al. | Jul 2013 | A1 |
20130191600 | Kuesel et al. | Jul 2013 | A1 |
20130191649 | Muff et al. | Jul 2013 | A1 |
20130191651 | Muff et al. | Jul 2013 | A1 |
20130191824 | Muff et al. | Jul 2013 | A1 |
20130191825 | Muff et al. | Jul 2013 | A1 |
20130207801 | Barnes | Aug 2013 | A1 |
20130219148 | Chen et al. | Aug 2013 | A1 |
20130250792 | Yoshida et al. | Sep 2013 | A1 |
20130254488 | Kaxiras et al. | Sep 2013 | A1 |
20130263068 | Cho et al. | Oct 2013 | A1 |
20130268990 | Urzi et al. | Oct 2013 | A1 |
20130294458 | Yamaguchi et al. | Nov 2013 | A1 |
20130305207 | Hsieh et al. | Nov 2013 | A1 |
20130311819 | Ishii et al. | Nov 2013 | A1 |
20130326458 | Kazda et al. | Dec 2013 | A1 |
20140013293 | Hsu et al. | Jan 2014 | A1 |
20140068132 | Philip et al. | Mar 2014 | A1 |
20140068134 | Philip et al. | Mar 2014 | A1 |
20140082237 | Wertheimer et al. | Mar 2014 | A1 |
20140086260 | Dai et al. | Mar 2014 | A1 |
20140092740 | Wang et al. | Apr 2014 | A1 |
20140098683 | Kumar et al. | Apr 2014 | A1 |
20140112149 | Urzi et al. | Apr 2014 | A1 |
20140115218 | Philip et al. | Apr 2014 | A1 |
20140115298 | Philip et al. | Apr 2014 | A1 |
20140126572 | Hutton et al. | May 2014 | A1 |
20140143557 | Kuesel et al. | May 2014 | A1 |
20140143558 | Kuesel et al. | May 2014 | A1 |
20140149720 | Muff et al. | May 2014 | A1 |
20140164465 | Muff et al. | Jun 2014 | A1 |
20140164704 | Kuesel et al. | Jun 2014 | A1 |
20140164732 | Muff et al. | Jun 2014 | A1 |
20140164734 | Muff et al. | Jun 2014 | A1 |
20140211622 | Kumar et al. | Jul 2014 | A1 |
20140229709 | Kuesel et al. | Aug 2014 | A1 |
20140229712 | Muff et al. | Aug 2014 | A1 |
20140229713 | Muff et al. | Aug 2014 | A1 |
20140229714 | Muff et al. | Aug 2014 | A1 |
20140229720 | Hickey et al. | Aug 2014 | A1 |
20140230077 | Muff et al. | Aug 2014 | A1 |
20140232188 | Cheriyan et al. | Aug 2014 | A1 |
20140241376 | Balkan et al. | Aug 2014 | A1 |
20140254388 | Kumar et al. | Sep 2014 | A1 |
20140281243 | Shalf et al. | Sep 2014 | A1 |
20140281402 | Comparan et al. | Sep 2014 | A1 |
20140307590 | Dobbelaere et al. | Oct 2014 | A1 |
20140359641 | Clark et al. | Dec 2014 | A1 |
20140376569 | Philip et al. | Dec 2014 | A1 |
20150020078 | Kuesel et al. | Jan 2015 | A1 |
20150026435 | Muff et al. | Jan 2015 | A1 |
20150026494 | Bainbridge et al. | Jan 2015 | A1 |
20150026500 | Muff et al. | Jan 2015 | A1 |
20150032988 | Muff et al. | Jan 2015 | A1 |
20150032999 | Muff et al. | Jan 2015 | A1 |
20150043575 | Kumar et al. | Feb 2015 | A1 |
20150081941 | Brown et al. | Mar 2015 | A1 |
20150103822 | Gianchandani et al. | Apr 2015 | A1 |
20150109024 | Abdelfattah et al. | Apr 2015 | A1 |
20150159330 | Weisman et al. | Jun 2015 | A1 |
20150178435 | Kumar | Jun 2015 | A1 |
20150331831 | Solihin | Nov 2015 | A1 |
20150348600 | Bhatia et al. | Dec 2015 | A1 |
20150381707 | How | Dec 2015 | A1 |
20170061053 | Kumar et al. | Mar 2017 | A1 |
20170063625 | Philip et al. | Mar 2017 | A1 |
20170063697 | Kumar | Mar 2017 | A1 |
20180074572 | Bauman et al. | Mar 2018 | A1 |
20180181191 | Bauman et al. | Jun 2018 | A1 |
Number | Date | Country |
---|---|---|
103684961 | Mar 2014 | CN |
5936793 | May 2016 | JP |
6060316 | Jan 2017 | JP |
6093867 | Feb 2017 | JP |
10-2013-0033898 | Apr 2013 | KR |
101652490 | Aug 2016 | KR |
101707655 | Feb 2017 | KR |
2010074872 | Jul 2010 | WO |
2013063484 | May 2013 | WO |
2014059024 | Apr 2014 | WO |
Entry |
---|
Ababei, C. et al., Achieving Network on Chip Fault Tolerance by Adaptive Remapping, Parallel & Distributed Processing, 2009, IEEE International Symposium, 4 pgs. |
Abts, D. et al., Age-Based Packet Arbitration in Large-Radix k-ary n-cubes, Supercomputing 2007 (SC07), Nov. 10-16, 2007, 11 pgs. |
Beretta, I. et al., A Mapping Flow for Dynamically Reconfigurable Multi-Core System-on-Chip Design, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Aug. 2011, 30(8), pp. 1211-1224 (14 pages). |
Das, R. et al., Aergia: Exploiting Packet Latency Slack in On-Chip Networks, 37th International Symposium on Computer Architecture (ISCA '10), Jun. 19-23, 2010, 11 pgs. |
Ebrahimi, E., et al., Fairness via Source Throttling: A Configurable and High-Performance Fairness Substrate for Multi-Core Memory Systems, ASPLOS '10, Mar. 13-17, 2010, 12 pgs. |
Gindin, R., et al., NoC-Based FPGA: Architecture and Routing, Proceedings of the First International Symposium on Networks-on-Chip (NOCS'07), May 2007, pp. 253-262 (10 pages). |
Grot, B., Preemptive Virtual Clock: A Flexible, Efficient, and Cost-Effective QOS Scheme for Networks-on-Chip, Micro '09, Dec. 12-16, 2009, 12 pgs. |
Grot, B., Kilo-NOC: A Heterogeneous Network-on-Chip Architecture for Scalability and Service Guarantees, ISCA 11, Jun. 4-8, 2011, 12 pgs. |
Grot, B., Topology-Aware Quality-of-Service Support in Highly Integrated Chip Multiprocessors, 6th Annual Workshop on the Interaction between Operating Systems and Computer Architecture, Jun. 2006, 11 pgs. |
Hestness, J., et al., Netrace: Dependency-Tracking for Efficient Network-on-Chip Experimentation, The University of Texas at Austin, Dept. of Computer Science, May 2011, 20 pgs. |
Jiang, N., et al., Performance Implications of Age-Based Allocations in On-Chip Networks, CVA Memo 129, May 24, 2011, 21 pgs. |
Lee, J. W. et al., Globally-Synchronized Frames for Guaranteed Quality-of-Service in On-Chip Networks, 35th IEEE/ACM International Symposium on Computer Architecture (ISCA), Jun. 2008, 12 pgs. |
Lee, M. M., et al. Approximating Age-Based Arbitration in On-Chip Networks, PACT '10, Sep. 11-15, 2010, 2 pgs. |
Li, B., et al. CoQoS: Coordinating QoS-Aware Shared Resources in NoC-based SoCs, J. Parallel Distrib. Comput., 71 (5), May 2011, 14 pgs. |
Lin, S., et al., Scalable Connection-Based Flow Control Scheme for Application-Specific Network-on-Chip, The Journal of China Universities of Posts and Telecommunications, Dec. 2011, 18(6), pp. 98-105. |
Bolotin, Evgency, et al., “QNoC: QoS Architecture and Design Process for Network on Chip” 2004, 24 pages, Journal of Systems Architecture 50 (2004) 105-128 Elsevier. |
Holsmark, Shashi Kumar Rickard, et al., “HiRA: A Methodology for Deadlock Free Routing in Hierarchical Networks on Chip”, 10 pages, (978-1-4244-4143-3/09 2009 IEEE). |
Munirul, H.M., et al., Evaluation of Multiple-Valued Packet Multiplexing Scheme for Network-on-Chip Architecture, Proceedings of the 36th International Symposium on Multiple-Valued Logic (ISMVL '06), 2006, 6 pgs. |
Rajesh BV, Shivaputra, “NOC: Design and Implementation of Hardware Network Interface With Improved Communication Reliability”, 7 pages, International Journal of VLSI and Embedded Systems, IJIVES (vol. 04, Article 06116; Jun. 2013). |
Yang, J., et al., Homogeneous NoC-based FPGA: The Foundation for Virtual FPGA, 10th IEEE International Conference on Computer and Information Technology (CIT 2010), Jun. 2010, pp. 62-67. |
Zaman, Aanam, “Formal Verification of Circuit-Switched Network on Chip (NoC) Architectures using SPIN”, Oosman Hasan, IEEE © 2014, 8 pages. |
Benini, Luca, et al., “Networks on Chips: A New SoC Paradigm”, IEEE Computers, SOC Designs, pp. 70-78, Copyright 2002 IEEE. 0018-9162/02. |
Sethuraman, Ranga Vemuri Balasubramanian, “optiMap: A Tool for Automated Generation of NoC Architecture Using Multi-Port Routers for FPGAs”, IEEE, pp. 1-6, 2006. |
International Search Report and Written Opinion for PCT/US2014/060745, dated Jan. 21, 2015, 10 pgs. |
International Search Report and Written Opinion for PCT/US2014/060879, dated Jan. 21, 2015, 10 pgs. |
International Search Report and Written Opinion for PCT/US2014/060892, dated Jan. 27, 2015, 10 pgs. |
International Search Report and Written Opinion for PCT/US2014/060886, dated Jan. 26, 2015, 10 pgs. |
International Search Report and Written Opinion for PCT/US2013/064140, dated Jan. 22, 2014, 9 pgs. |
International Search Report and Written Opinion for PCT/US2014/012003, dated Mar. 26, 2014, 9 pgs. |
International Search Report and Written Opinion for PCT/US2014/012012, dated May 14, 2014, 9 pgs. |
International Search Report and Written Opinion for PCT/US2014/023625, dated Jul. 10, 2014, 9 pgs. |
International Preliminary Report on Patentability for International Application No. PCT/US2013/064140, dated Apr. 14, 2015, 5 pages. |
Office Action for Korean Patent Application No. 10-2016-7019093 dated Sep. 8, 2016, 3 pages plus 1 page English translation. KIPO, Korea. |
Notice of Allowance for for Korean Patent Application No. 10-2016-7019093 dated Sep. 8, 2016, 4 pages. KIPO, Korea. |
International Search Report and Written Opinion for PCT/US2014/037902, dated Sep. 30, 2014, 14 pgs. |
Office Action for Japanese Patent Application No. 2015-535898 dated Oct. 25, 2016, 2 pages English, 2 pages untranslated copy. Japan Patent Office. |
Notice of Grant for Japanese Patent Application No. 2015-535898 dated Jan. 17, 2017, 3 pages, untranslated. Japan Patent Office. |
International Search Report and Written Opinion for PCT/US2014/048190, dated Nov. 28, 2014, 11 pgs. |
Office Action for Japanese Patent Application No. 2016-516030 dated Aug. 30, 2016, 2 pages, Japan Patent Office. |
Decision to Grant for Japanese Patent Application No. 2016-516030 dated Nov. 22, 2016, 6 pages, untranslated, Japan Patent Office. |
Notice of Allowance received for U.S. Appl. No. 15/701,305, dated Jun. 15, 2019, 6 pages. |
Ex Parte Quayle Action received for U.S. Appl. No. 15/903,427, mailed on Aug. 6, 2019, 5 pages. |
Office Action received for U.S. Appl. No. 15/903,462, dated Jul. 15, 2019, 9 pages. |
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20180181190 A1 | Jun 2018 | US |
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62393465 | Sep 2016 | US |
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Parent | 15701305 | Sep 2017 | US |
Child | 15903396 | US |