Patent Grant
8275947
The present application is related to the following co-pending U.S. patent applications, which are incorporated herein by reference in their entirety:
1. Technical Field
The present invention generally relates to data processing systems and in particular to distributed data processing systems. Still more particularly, the present invention relates to data processing systems configured to support execution of global shared memory (GSM) operations.
2. Description of the Related Art
It is well-known in the computer arts that greater computer system performance can be achieved by harnessing the processing power of multiple individual processing units. Multi-processor (NP) computer systems can be designed with a number of different topologies, of which various ones may be better suited for particular applications depending upon the performance requirements and software environment of each application. One common MP computer architecture is a symmetric multi-processor (SMP) architecture in which multiple processing units, each supported by a multi-level cache hierarchy, share a common pool of resources, such as a system memory and input/output (I/O) subsystem, which are often coupled to a shared system interconnect.
Although SMP computer systems permit the use of relatively simple inter-processor communication and data sharing methodologies, SMP computer systems have limited scalability. For example, many SMP architectures suffer to a certain extent from bandwidth limitations, especially at the system memory, as the system scale increases.
An alternative MP computer system topology known as non-uniform memory access (NUMA) has also been employed to addresses limitations to the scalability and expandability of SMP computer systems. A conventional NUMA computer system includes a switch or other global interconnect to which multiple nodes, which can each be implemented as a small-scale SMP system, are connected. Processing units in the nodes enjoy relatively low access latencies for data contained in the local system memory of the processing units' respective nodes, but suffer significantly higher access latencies for data contained in the system memories in remote nodes. Thus, access latencies to system memory are non-uniform. Because each node has its own resources, NUMA systems have potentially higher scalability than SMP systems.
Regardless of whether an SMP, NUMA or other MP data processing system architecture is employed, it is typical that each processing unit accesses data residing in memory-mapped storage locations (whether in physical system memory, cache memory or another system resource) by utilizing real addresses to identifying the storage locations of interest. An important characteristic of real addresses is that there is a unique real address for each memory-mapped physical storage location.
Because the one-to-one correspondence between memory-mapped physical storage locations and real addresses necessarily limits the number of storage locations that can be referenced by software, the processing units of most commercial MP data processing systems employ memory virtualization to enlarge the number of addressable locations. In fact, the size of the virtual memory address space can be orders of magnitude greater than the size of the real address space. Thus, in a conventional systems, processing units internally reference memory locations by the virtual (or effective) addresses and then perform virtual-to-real address translations (often via one or more intermediate logical address spaces) to access the physical memory locations identified by the real addresses.
Given the availability of the above MP systems, one further development in data processing technology has been the introduction of parallel computing. With parallel computing, multiple processor nodes are interconnected to each other via a system interconnect or fabric. These multiple processor nodes are then utilized to execute specific tasks, which may be individual/independent tasks or parts of a large job that is made up of multiple tasks. In these conventional MP systems with separate nodes connected to each other, there is no convenient support for tasks associated with a single job to share parts of their address space across physical or logical partitions or nodes.
Shared application processing among different devices provides a very rudimentary solution to parallel processing. However, with each of these systems, each node operates independently of each other and requires access to the entire amount of resources (virtual address space mapped to the local physical memory) for processing any one job, making it difficult to productively scale parallel computing to a large number of nodes.
Disclosed are a method and data processing system for enabling exchange of global shared memory (GSM) operations across network-connected processing nodes within a distributed system having at least one local node with a host fabric interface (HFI) coupled to other nodes via a network fabric. GSM operations for a task executing at the local node are managed by dynamically assigning a HFI window to the task to handle GSM packet generation from task-issued commands and GSM packet receipt and processing for received GSM packets at the HFI window. HFI processing logic automatically tags each GSM packet that is generated by the HFI for the local task with a global job identifier (ID) of a distributed job to which the local task is affiliated. The GSM packet issues to the network fabric with the job ID embedded within the GSM packet. On receipt of a GSM packet from the network fabric, the logic retrieves the embedded job ID from the GSM packet and compares the job ID with that of the tasks with allocated HFI windows. GSM packets are accepted into an HFI window for processing only when the job ID matches that of the job ID stored within the particular HFI window.
The above as well as additional objectives, features, and advantages of the present invention will become apparent in the following detailed written description.
The invention itself, as well as a preferred mode of use, further objects, and advantages thereof, will best be understood by reference to the following detailed description of an illustrative embodiment when read in conjunction with the accompanying drawings, wherein:
The illustrative embodiments provide a method and data processing system for generating and processing global shared memory (GSM) operations that complete parallel job execution of multiple tasks on different physical nodes with distributed physical memory that is accessible via a single, shared, global address space (GAS). Each physical node of the data processing system has a host fabric interface (HFI), which includes one or more HFI windows with each window assigned to at most one locally-executing task of the parallel job, although multiple windows may be assigned to a single task. The HFI includes processing logic for completing a plurality of operations that enable parallel job execution via the different tasks, each of which maps only a portion of the effective addresses (EAs) of the shared GAS to the local (real or physical) memory of that node. Each executing task within a node is assigned a window within the local HFI. The window ensures that issued GSM operations (of the local task) are correctly tagged with the job ID as well as the correct target node and window identification at which the operation is supported (i.e., the EA is memory mapped). The window also enables received GSM operations with valid EAs in the task to which the window is assigned to be processed when received from another task executing at another physical node, while preventing processing of received operations that do not provide a valid EA to local memory mapping.
In the following detailed description of exemplary embodiments of the invention, specific exemplary embodiments in which the invention may be practiced are described in sufficient detail to enable those skilled in the art to practice the invention, and it is to be understood that other embodiments may be utilized and that logical, architectural, programmatic, mechanical, electrical and other changes may be made without departing from the spirit or scope of the present invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is defined only by the appended claims.
Within the descriptions of the figures, similar elements are provided similar names and reference numerals as those of the previous figure(s). Where a later figure utilizes the element in a different context or with different functionality, the element is provided a different leading numeral representative of the figure number (e.g, 1xx for
It is understood that the use of specific component, device and/or parameter names are for example only and not meant to imply any limitations on the invention. The invention may thus be implemented with different nomenclature/terminology utilized to describe the components/devices/parameters herein, without limitation. Each term utilized herein is to be given its broadest interpretation given the context in which that terms is utilized. Specifically, the following terms, which are utilized herein, are defined as follows:
As further described below, implementation of the functional features of the invention is provided within computing nodes and involves use of a combination of hardware and several software-level constructs. The presented figures illustrate both hardware and software components within an example GSM environment in which two physically separate nodes, interconnected via respective HFIs and an interconnect, provide a data processing system that executes a parallel job as individual tasks that utilize a GSM. The presentation herein of only two nodes, i.e., an initiating (sending) node and a target (receiving) node, is provided solely to simplify the description of the functionalities associated with GSM operations and the HFI. It is appreciated that this GSM functionality enables scaling to a much larger number of processing nodes within a single data processing system.
With specific reference now to the figures, and in particular to
As utilized herein, the term “processing node” (or simply node) is defined as the set of computing resources that form the domain of a coherent operating system (OS) image. For clarity, it should be understood that, depending on configuration, a single physical system may include multiple nodes. The number of processing nodes 102 deployed in a given system is implementation-dependent and can vary widely, for example, from a few nodes to many thousand nodes.
Each processing node 102 may be implemented, for example, as a single integrated circuit chip (e.g., system-on-a-chip (SOC)), a multi-chip module (MCM), or circuit board, which contains one or more processing units 104 (e.g., processing units 104A, 104B) for processing instructions and data. Further, each processing unit 104 may concurrently execute one or more hardware threads of execution.
As shown, each processing unit 104 is supported by cache memory 112, which contains one or more levels of in-line or lookaside cache. As is known in the art, cache memories 112 provide processing units 104 with low latency access to instructions and data received from source(s) within the same processing node 102a and/or remote processing node(s) 102b. The processing units 104 within each processing node 102 are coupled to a local interconnect 114, which may be implemented, for example, with one or more buses and/or switches. Local interconnect 114 is further coupled to HFI 120 to support data communication between processing nodes 102A, 102B.
As further illustrated in
In addition to memory controller, each processing unit 104 also includes a memory management unit (MMU) 105 to translate effective addresses to real (or physical) addresses. These MMUs 105 perform EA-to-RA translations for tasks executing on processing nodes (e.g., node 102A) of data processing system 100. However, the invention also uses a separate MMU 121, which is coupled to the local interconnect 114. MMU 121 performs EA-to-RA translations for operations received from tasks operating on remote processing nodes (e.g., node 102B) of data processing system 100. In one implementation of processor configurations, MMU 121 may be integrated with HFI 120 so as to support EA-to-RA address translations required by HFI and/or tasks utilizing HFI to complete GSM operations.
The HFI 120A and functional components thereof, which are described below, enables the task(s) executing on processing units 104a/104b to generate operations to access the physical memory 108B of other nodes that are executing other tasks of the parallel job using EAs from a shared global address space (GAS) and a GSM. Likewise, HFI 120B enables access by the task(s) on initiating node 102A to access physical memory 108B when certain criteria are met. These criteria are described below with reference to
Those skilled in the art will appreciate that data processing system 100 of
The above described physical representations of nodes of an example data processing systems 100 with HFIs supports the distribution of tasks associated with a parallel job across multiple nodes within a larger system with a GSM.
Each physical system 200 may further include an instance of a hypervisor 202 (also referred to as a Virtual Machine Monitor (VMM)). Hypervisor 202 is a program that manages the full virtualization or para-virtualization of the resources of physical system 200 and serves as an operating system supervisor. As such, hypervisor 202 governs the creation and destruction of nodes and the allocation of the resources of the physical system 200 between nodes.
In accordance with the present invention, the execution of parallel jobs in data processing system 100 is facilitated by the implementation of a new shared memory paradigm referred to herein as global shared memory (GSM), which enables multiple nodes executing tasks of a parallel job to access a shared effective address space, referred to herein as a global address space (GAS).
Thus, under the GSM model employed by the present invention, data processing system 100 can execute multiple different types of tasks. First, data processing system 100 can execute conventional (individual) Tasks C, F, G, K, L, P, Q, T, V and W, which are independently executed under operating systems 204. Second, data processing system 100 can execute parallel jobs, such as Job 2, with tasks that are confined to a single node. That is, Tasks D and E are executed within the node corresponding to operating system 204a1 of physical system 200a and can coherently share memory. Third, data processing system 100 can execute parallel jobs, such as Job 1, that span multiple nodes and even multiple physical systems 200. For example, in the depicted operating scenario, Tasks A and B of Job 1 execute on operating system 204a1, Tasks H and J of Job 1 execute on operating system 204a2, Tasks M and N of Job 1 execute on operating system 204b1, and Tasks R and S of Job 1 execute on operating system 204b2. As is illustrated, tasks of multiple different jobs (e.g., Job 1 and Job 2) are permitted to concurrently execute within a single node.
With standard task-to-task operation, tasks running on a same node, i.e., tasks homed on the same physical device, do not need to utilize the HFI and resolve EA-to-RA mapping beyond the standard page table. The HFI and/or MMU components are thus not utilized when exchanging operations across tasks on the same physical node. Where tasks are running on different physical nodes, however, the use of the MMU and HFI is required to enable correct EA-to-RA translations for tasks homed at the specific node when issuing and/or receiving GSM operations.
Additional applications can optionally be executed under operating systems 204 to facilitate the creation and execution of jobs. For example,
In the following descriptions, headings or section labels are provided to separate functional descriptions of portions of the invention provided in specific sections. These headings are provided to enable better flow in the presentation of the illustrative embodiments, and are not meant to imply any limitation on the invention or with respect to any of the general functions described within a particular section. Material presented in any one section may be applicable to a next section and vice versa.
A. Task Generation and Global Distribution
The method for generating and distributing the tasks of a job (e.g., Job 1, illustrated in
In order to complete the processing by the HFI and other functional features of the invention, a system-level establishment (or system allocation) of the global shared memory is required.
During initialization of the tasks of a parallel job, each task issues a system call to set up the global address space. In addition to reserving effective address space, the system call also accomplishes two additional tasks. First, the call initializes a HFI window hardware structure in preparation for usage in the global shared memory model. Second, the system call creates a send FIFO and a receive FIFO, which allow the task to send active messages to one another via the node's HFI.
Once the global address space has been initialized, individual tasks can allocate physical memory that can be globally addressed by all tasks of the job. Memory allocation on each task is achieved through a second system call, which specifies the amount of memory to be allocated, as well as the effective address within the already-reserved global address space (GAS) where the allocated memory must appear. All allocations are done locally with respect to the task issuing the second system call. Once allocation is completed, all threads within the locally-executed task can access the allocated memory using load and store instructions.
In order to use the GSM feature, each of the group of tasks for the job has to communicate the results of the first system call and co-ordinate amongst each other the arguments to the second system call invocation.
Referring now to
With reference now to
For the allocations in
Practicality in data structure placement is a very important consideration since practicality can have a huge impact on the amount of physical memory required to support the allocation. For instance, if the programmer specifies that the shared array x should be distributed in a cyclic manner, an extensive amount of fragmentation and wasted physical memory will result if the array were to be allocated such that the array can be contiguously addressed within the global address space. For such an allocation, savings in the amount of physical memory required to back up the homed portions of x[ ] would be achieved by compacting the data structure. The GSM feature described herein thus provides applications with considerable flexibility in deciding how to map global data structures. As
Using the above allocation of GAS to tasks of a job, the embodiments of the invention enables a job to be scaled across a large number of nodes and permits applications to globally share as large a portion of the application's effective address space as permitted by the operating system on each node. Also, no restrictions are imposed on where the tasks of a job must execute, and tasks belonging to multiple jobs are allowed to execute concurrently on the same node.
B. HFI, HFI Windows, Send and Receive FIFO, MMU and Memory Mapping
Referring now to
When an executing task of a parallel job issues an initialization system call, the operating system (OS) of that node attempts to establish a dedicated window on the HFI for that task. If the operation succeeds, a portion of the allocated HFI window is first mapped into the task's address space. The memory mapped 10 (MMIO) space includes a command area and FIFO pointers. After the appropriate portion of the task's effective address space is reserved (i.e., mapped to the physical memory), the operating system sets up the window to point to the page table for that task so that effective addresses within inbound (i.e., from the interconnect 410) GSM commands can be translated.
In processing system 100, first node 102a represents the sending/initiating node and is illustrated with send FIFO 407 within memory 405 that is accessible via a MMIO 411. Second node 102b represents the receiving or target node and is illustrated with receive FIFO 408 within its memory 406. It is understood that even though an asymmetric view is shown, both processing nodes 102a and 102b are similarly configured, having both send FIFO 407 and receive FIFO 408, and each node is capable of performing both send and receive functions. Within processing system, 100, the HFI 120 is the primary hardware element that manages access to the interconnect (410). The interconnect is generally represented by links 455a, 455, routing switch 410, and a series of switch elements 450A, 450B and 460. HFI 120A thus enables a task executing on sending node (120a) to send GSM operations (with a destination or target identified by the job ID, node ID and window ID) to a receiving/target node 102b.
As further illustrated in
The HFI window 445 and 446 provide a task-level view into the node's hardware that enables GSM commands to be launched with regards to a particular task's effective address space (302) and for the effective addresses (EA) contained within commands to be appropriately translated. HFI windows 445 are basic system constructs used for GSM operations. Each HFI 120 may contain multiple windows 445, and each window is allocated to a single task of the one or more tasks executing on the computer node 102.
Further functional characteristics of example HFI windows 445 are illustrated by
HFI window 445 consists of a plurality of functional entries, such as command entries, credentials entry, an address translation entry, and data structures used by the HFI to control message transmission and reception. Specifically, as illustrated, window2445 comprises the following entries, without limitation, HFI command count 510, send FIFO EA 514, SEND RDMA FIFO EA 515, receive FIFO EA 516, epoch vector EA 518, credentials 512, and fence counters 520. In the illustrative embodiment, credentials 512 includes the job ID (also referred to herein as a job key), process ID, LPAR (logical partition) ID and EA key. The HFI references the credentials 512 to correctly authenticate an incoming GSM transaction as being authorized to perform an operation on the associated task's effective address space. It is appreciated that the different components of credentials 512 may also be represented with its own entry within HFI window 445. Each of the above entries are registers providing a value of a memory location at which the named entry is stored or at which the named entry begins (i.e., a start location) within the effective address space of the task. These effective addresses are translated by MMU 121 into corresponding real addresses that are homed within the physical memory 530. HFI forwards one of the effective addresses of Window contents to MMU 121, and MMU 121 translates the effective address into a real address corresponding to the physical memory 530 to which the EAs of the task identified by the credentials are mapped.
HFI window 445 also comprises one or more fence counters 520 for tracking completion of GSM operations during a local fence operation and a global fence operation. The fence counters 520 referenced by the EAs in map to fence counter 540 within the real memory location assigned to the task. In order to assist with local (task-issued) fence operations, the RA space assigned to the task also includes a send-op counter 542 to track the completion of task-issued commands, which are initially stored in send FIFO 532, before passing to HFI window for processing.
Thus, as further illustrated, send FIFO EA 514 holds the start effective address for the task's send FIFO, which address can be translated by MMU 121 to point to the start (real address) of send FIFO 532 in physical memory 530. Likewise, receive FIFO EA 516 holds the start EA of the task's receive FIFO 534, which address is translated by MMU 121, and points to the start address in physical memory 530 of the receive FIFO 534 of the task. The SEND RDMA FIFO EA 515 and epoch vector EA 518 similarly can be translated by MMU 121 to point to the start real addresses of the SEND RDMA FIFO 536 and Epoch vector 538, respectively. Note that while the send FIFO 514 and receive FIFO 516 may be contiguous in the effective address space of the task to which that window corresponds, these FIFOs (514, 516) may be discontiguous in real (physical) memory 530.
Each HFI window contains key resources including the pointer to the address translation tables that are used to resolve the effective address (with respect to a particular task) into a real address. The window number within the HFI that is allocated for the GSM initialization operation is returned back to the user as an opaque handle, which may contain an encoding (embedding) of the node and window number, along with the effective address where the global address space is reserved within that task's effective address space. The language run-time takes on the responsibility for communicating each task's window identity to all other tasks that wish to issue GSM commands to that task. If a task has multiple threads of control, atomicity to the HFI window has to be ensured either through normal intra-task locking primitives, or by assigning each thread its own distinct HFI window. Finally, HFI performance counters for all traffic based on that window are also mapped into the task's address space. This permits the task to easily monitor statistics on the interconnect traffic.
HFI windows may be shared amongst one or more logical partitions. If a single node is partitioned, the operating system running on a partition may only have access to a subset of the total number of supported windows. The OS may further reserve a subset of these windows for kernel subsystems such as the IP device driver. The remaining windows may be available for use by the tasks executing within that partition.
When a window is allocated on the HFI, the operating system tags the window with the identity of the job to which the task belongs. During issuance of GSM operations, all outgoing packets are automatically tagged by the HFI with the job id. Outgoing packets also specify a particular window on the destination/target node's HFI 120B in whose context the GSM effective address must be translated. The HFI compares the job ID contained within the GSM packet against the job id contained within the window. If the job ID's do not match, the packet is silently discarded. Statistics that count such packets can be used to gently dissuade system users from either unintentionally or maliciously flooding the system with such packets.
Thus, unauthorized access to a task's effective address space is not permitted during the course of global shared memory operations. A task is able to send a GSM operation to any task belonging to any job running anywhere in the entire system. However, the HFI will perform the GSM operations on the targeted task's effective address space if and only if an incoming GSM command belongs to the same job as the task whose address space the command manipulates. A further granulation of job IDs is also possible, whereby a task can give specific authorization to only a subset of the tasks executing within the job. This can be done by a subset of the tasks requesting a different job ID to be associated to them, causing that job ID to be installed into the HFI window associated with these tasks.
In order to fully appreciate the functionality of each of the above listed entries and the entries use during GSM operation to retrieve values from within physical memory 430, a description of the process of assigning a window to support a task of a parallel job is now provided. This process is illustrated by
The process begins at block 602, and proceeds to block 604, at which an application generates and issues a GSM initialization operation to launch a parallel job. Initialization of the job leads to allocation of a plurality of tasks to certain nodes across the distributed network, as shown at block 606. At block 608, mapping of these nodes with allocated tasks is generated and maintained at each node. At each local node with one of these tasks, before using global shared memory, the task establishes (or is assigned) a dedicated window on the HFI for that task, as provided at block 610. A portion of the allocated HFI window (including a command area and FIFO pointers—
At block 612, the HFI window assignments for the various tasks are linked to a generated node mapping for the job, and then at block 614, the runtime library communicates task-window identity to other tasks in the job. This enables each task to be aware of the location of the other tasks and permits subsequent software operations that allocate memory to determine on which node a certain variable allocated in the global address space should be homed. After the appropriate portion of the task's effective address space is reserved, the operating system sets up the HFI window pointer(s) (page table pointer 522) to point to the page table for that task so that effective addresses within inbound (i.e., from the interconnect) GSM commands can be translated at the node, as indicated at block 616. Send and receive pointers (514, 516) are also established within the HFI window 445 that are translated to specific physical memory locations by MMU 121.
At decision block 618, the OS determines if the task has multiple threads. When a task has multiple threads of control, the OS ensures atomicity to the HFI window through normal intra-task locking primitives, as shown by block 620. Alternatively, a task may request a separate window for each of its threads. At block 622, the window number within the HFI 110 that is allocated during the GSM initialization operation is returned back to the user space (task) 550 as an opaque handle, along with the effective address where the global address space is reserved within that task's effective address space. Finally, at block 624, HFI performance counters for all traffic based on that window are also mapped into the tasks effective address space. This setup of performance counters permits the task to easily monitor statistics on the interconnect traffic. The process then ends at termination block 626.
C. GSM Operations
After a global address space is established and memory allocated as generally described above (
The below described embodiments enables different tasks in a (parallel) job to perform operations efficiently on the global address space of the parallel job by using a HFI to issue GSM operations across the fabric of the GSM environment. Among the operations that are performed are reads, writes, certain types of atomic operations, and higher level operations that can be constructed using one or more of these basic operations. Within GSM task execution, all operations refer to effective addresses within the constituent tasks of the GSM job. GSM operations are non-coherent, can be issued by an application from user-space code, and have a simple API (application programming interface) that they can be used by the compiler, library, or end-user.
In one embodiment, GSM task execution does not provide/support load-store access to a location within the global address space that is homed on a remote node. That is, when a particular global address space location is homed on example target node, a task executing on a different node is not able to access the location using a load or store instruction. Rather, with GSM task execution, a GSM operation (such as a read, write or atomic operation) must be employed in order to access the location. However, the executing task utilizes load and store instructions from the PowerPC® ISA (instruction set architecture) to access GSM locations that are homed on the node where the task is executing.
Turning now to
GSM commands issued by a task are in the form of operations on locations within another task's effective address space. Consequently, the effective address embedded in a GSM command is meaningless without knowing the specific task with reference to which the effective address must be translated into a real address. The HFI evaluates received GSM commands from a local send FIFO before generating the corresponding GSM message (packets). HFI and HFI window functionality provides the ability to launch GSM commands (i.e., interconnect messages) through user-space commands.
In the following description, the terms GSM packets, GSM messages, GSM operations, and GSM data are interchangeably utilized to refer to any component that is transmitted from a first HFI window of an initiating task to a network fabric and/or is received from the network fabric at a second HFI window of a target task. GSM command refers simply to any task-issued command that is intended to be processed by the HFI and issued to the network fabric. The task also provides non-GSM or standard commands that are executed on the local processing node.
Referring to
Returning to the flow chart, as provided at block 710, the task writes the command describing the operation into the send FIFO. These commands accumulate in initiating task's cache (FIFO) as the commands are created. At block 712, the task's initiator triggers/requests the HFI transmit the stored commands by updating the command count location/register, which is physically resident on the HFI window. As previously described, the command count location is memory mapped into the tasks address space of physical memory. This action constitutes “ringing” the HFI doorbell.
Referring again to
In order to transmit a GSM operation, the HFI needs certain buffer resources. As these buffer resources become available, the HFI retrieves commands from the send FIFO. Thus, at decision block 714, HFI logic determines if HFI resources are available to transmit the command using the task-assigned window. When HFI resources are not currently available, the task may continue to place new commands (if any) in the send FIFO, as shown at block 716. However, if there are HFI resources available, the HFI creates packet headers from the command information and generates the GSM packets, as shown at block 718. For long put operations, the HFI also translates the start address and fetches (DMAs) data from the local node. The retrieved data is used to create a GSM message. HFI data structures in the window assigned to the task are also referenced/updated. The HFI window tags the job ID of the task to the GSM message, as shown at block 720. The job ID is maintained in the send window and is included as part of every GSM message issued by the HFI window. At block 722, the HFI routes the message (as GSM packets) through the interconnect switch. Then, the process of generating the GSM packets using the HFI ends at termination block 724.
The HFI identifies the window associated with the task generating the commands placed in the task's send FIFO, as shown at block 806. The HFI logic then determines, at block 808, if the command is a legal GSM command. A legal GSM command includes the required target node and window identifiers, and an operation that is supported via GSM processing (e.g., a get, put, or atomic operation), and any other parameter(s) for generating a GSM packet. When the command is not a legal GSM command, the HFI window discards the command as not supported by GSM, as provided at block 816, and the HFI window provides an appropriate response/notification to the executing task, at block 818.
However, when the command is legal, the HFI completes a series of operations to generate the GSM packets from the command, as indicated at block 810. Among these operations performed by the HFI are one or more of (a) creating a packet header from the command information, (b) potentially fetching (via DMAs) data from the local node, and (c) generating the packets. The HFI window then tags the packet with the job ID at block 812, and the HFI window transmits the packets over the interconnect, at block 814. The process ends at termination block 820. In a system where the individual nodes execute operating systems that do not trust one another, the installed job ID (206) can also be encrypted or hashed to make it tamperproof.
In order to appreciate the generation and issuing of a GSM message (i.e., a GSM operation transmitted via multiple GSM packets) with sequence number and count tuples, an example GSM command and corresponding example GSM packet are illustrated by
D. Target/Receiving/Destination Node HFI Processing
When the message reaches the destination, hardware support provided by PERCS retrieves the data and sends the response back as a message. The response message is also handled by the HFI of the initiating node, causing the retrieved data to be written to the memory location of the initiating task. On the receive side of a GSM operation, the job ID in the packet is compared with the job ID in the target window. If the IDs match, the GSM command specified in the message is carried out.
For get operations, the effective address is translated on the target HFI through the use of MMU 121. Data is fetched from the memory location of the translated real address, and the data is embedded into a composed message and sent back to the initiating task (node). For put operations, the appended data is written to the physical address obtained by translating the specified effective address where the data is to be written at the target node. In one implementation, GSM atomic operations are carried out by the memory controller on board the processor chip, such as a Power7™ chip. The processor's internal bus is designed to support special transaction types for the atomic operations that are initiated by the UFI.
In one embodiment, the HFI may also evaluate the window and/or task ID to ensure that the packet has arrived at the correct destination node. As with the job ID, the message is discarded if the window ID information does not match that of the target window that is specified in the message. Also, in one embodiment, a threshold number of false requests may be established for each HFI window. When the number of received GSM operations that do not have the correct jobID meets of surpasses the pre-established threshold number, an error condition is registered, which triggers issuance of an administrative notification.
Returning to decision block 910, if the job IDs match, the HFI determines, at decision block 911, if a translation exists for the EA within the page table pointed to by the page table pointer (522,
The operation is first presented on the internal fabric bus in the chip. The memory controller performs the operation on the memory DIMMs. If the locations being modified reside on any cache, the cache locations are updated in place, with the contents being injected into the cache. At block 918, the HFI window (via the task) generates and transmits a response packet, if such a response is required. The HFI also writes notifications to the receive FIFO (either writing the notification to memory or injecting the notification into the cache), as shown at block 819. These notifications are visible in the (target) task's effective address space. The (target) task can also access the locations that were modified by directly accessing the appropriate location in the (target) task's address space.
The message flows are similar for GSM atomic operations and GSM get operations. In an atomic operation, the memory controller can perform the atomic operation. Cache injection does not take place for atomic operations. For a get operation, the HFI does not perform the DMA operation and instead retrieves (DMAs) data requested by the operation. The retrieved data is assembled into a message that is then sent back to the initiating node. The HFI on the requester performs the functions required to store the retrieved data into the initiating task's effective address space.
E. Issuing GSM Operations with Job Level Identification for HFI Processing
One embodiment of the invention provides a method and data processing system for tracking global shared memory (GSM) operations to and from a local node configured with a host fabric interface (HFI) coupled to a network fabric. During task/job initialization, the system OS assigns HFI window(s) to handle the GSM packet generation and GSM packet receipt and processing for each local task. HFI processing logic automatically tags each GSM packet generated by the HFI window with a global job identifier (ID) of the job to which the local task is affiliated. The job ID is embedded within each GSM packet placed on the network fabric. On receipt of a GSM packet from the network fabric, the HFI logic retrieves the embedded job ID and compares the embedded job ID with the ID within the HFI window(s). HFI processing logic forwards GSM packets to an HFI window only when the embedded job ID matches the HFI window's job ID.
The process of
As provided at block 1010, the HFI processing logic retrieves the Job ID from the allocated window entry and embeds (encapsulates) the job ID within the GSM packet. The GSM packet is issued to the network fabric with the job ID embedded therein, as indicated at block 1012. The process terminates at block 1014.
With the above described method, all outgoing GSM packets generated for a task that has an allocated window in the HFI are automatically tagged by the HFI with the associated job ID. In one embodiment, the outgoing GSM packets also specify a particular window on/within the destination/target node's HFI in whose context the GSM effective address (within the packet) is to be translated.
Assuming the job IDs match for at least one window, the HFI associates the packet to the identified window for processing (of operations provided by the packet) using the EA-to-RA mapping of the associated local task, as shown at block 1110. The HFI utilizes the MMU 121 to perform the EA-to-RA mapping required for that task, as described above. In the event that there are multiple windows with the same job ID allocated to different tasks executing at the target node, a further check of the EA of the operation embedded within the packet may be required to determine which local task to assign the GSM packet to. However, if at decision block 1108, the job ID of the GSM packet does not match any of the job IDs associated with the allocated HFI windows, the HFI discards or rejects the received packet, as shown at block 1112.
In the illustrative embodiment, the HFI also updates a failure statistic, as indicated at block 1114. Given the global nature of task distribution for the multiple jobs that are simultaneously performed, any task can send a GSM operation to any other task belonging to any job running on any node in the entire system. However, the HFI will perform GSM operations if and only if an incoming GSM operation belongs to the same job as the task whose address space the operation manipulates. Statistics that count failed packets can be used to gently dissuade system users from either unintentionally or maliciously flooding the system with packets that do not contain a correct job ID (indicating that the packet did not originate from a valid/authenticated task/node). This function thus disallows unauthorized accesses during the course of GSM operations. Following update of failure statistic, the process of
In each of the flow charts above, one or more of the methods may be embodied in a computer readable medium containing computer readable code such that a series of steps are performed when the computer readable code is executed on a computing device. In some implementations, certain steps of the methods are combined, performed simultaneously or in a different order, or perhaps omitted, without deviating from the spirit and scope of the invention. Thus, while the method steps are described and illustrated in a particular sequence, use of a specific sequence of steps is not meant to imply any limitations on the invention. Changes may be made with regards to the sequence of steps without departing from the spirit or scope of the present invention. Use of a particular sequence is therefore, not to be taken in a limiting sense, and the scope of the present invention is defined only by the appended claims.
As will be further appreciated, the processes in embodiments of the present invention may be implemented using any combination of software, firmware or hardware. As a preparatory step to practicing the invention in software, the programming code (whether software or firmware) will typically be stored in one or more machine readable storage mediums such as fixed (hard) drives, diskettes, optical disks, magnetic tape, semiconductor memories such as ROMs, PROMs, etc., thereby making an article of manufacture in accordance with the invention. The article of manufacture containing the programming code is used by either executing the code directly from the storage device, by copying the code from the storage device into another storage device such as a hard disk, RAM, etc., or by transmitting the code for remote execution using transmission type media such as digital and analog communication links. The methods of the invention may be practiced by combining one or more machine-readable storage devices containing the code according to the present invention with appropriate processing hardware to execute the code contained therein. An apparatus for practicing the invention could be one or more processing devices and storage systems containing or having network access to program(s) coded in accordance with the invention.
Thus, it is important that while an illustrative embodiment of the present invention is described in the context of a fully functional computer (server) system with installed (or executed) software, those skilled in the art will appreciate that the software aspects of an illustrative embodiment of the present invention are capable of being distributed as a program product in a variety of forms, and that an illustrative embodiment of the present invention applies equally regardless of the particular type of media used to actually carry out the distribution.
While the invention has been described with reference to exemplary embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the scope of the invention. In addition, many modifications may be made to adapt a particular system, device or component thereof to the teachings of the invention without departing from the essential scope thereof. Therefore, it is intended that the invention not be limited to the particular embodiments disclosed for carrying out this invention, but that the invention will include all embodiments falling within the scope of the appended claims. Moreover, the use of the terms first, second, etc. do not denote any order or importance, but rather the terms first, second, etc. are used to distinguish one element from another.
This invention was made with United States Government support under Agreement No. HR0011-07-9-0002 awarded by DARPA. The Government has certain rights in the invention.
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