This application is directed, in general, to integrated circuits (ICs) and, more specifically, to a hierarchical design flow for ICs.
Designers of ICs use electronic design automation (EDA) tools, a category of computer aided design (CAD) tools, to create a functional circuit design, including a register transfer logic (RTL) representation of the functional circuit design, synthesize a “netlist” from the RTL representation, and implement a layout from the netlists. Synthesis of the netlist and implementation of the layout involve simulating the operation of the circuit and determining where cells should be placed and where interconnects that couple the cells together should be routed. EDA tools allow designers to construct a circuit, simulate its performance, estimate its power consumption and area and predict its yield using a computer and without requiring the costly and lengthy process of fabrication. EDA tools are indispensable for designing modern ICs, particularly very-large-scale integrated circuits (VSLICs). For this reason, EDA tools are in wide use.
Multiple EDA tools may be used when designing an IC. To manage the combination of the EDA tools that are used to design an IC, design flows are typically used. One type of design flow supports a hierarchical design methodology that allows designers to address problems on the physical side of the design process between logic synthesis and the implementation process. Through early analysis and floor planning, designers can apply physical constraints to assist in controlling the initial implementations of an IC design. Floor planning involves planning for the placement of various components, such as hierarchical design components, inside an IC. With a hierarchical design flow, EDA tools can allow a designer to reduce the number of iterations between running PAR (Place and Route) and then returning to the register transfer level (RTL) and synthesis thereof.
Current hierarchical design flows may be derived from two dominant design methodologies, top-down and bottom-up. The top-down and bottom-up methodologies are two extreme cases which may have more of a theoretical appeal than practical use. Typically, commercial CAD tools target the top-down design methodologies, while several in-house design teams utilize bottom-up methodologies. This can create a design gap since commercial CAD tools are unable to handle in-house designs smoothly. As such, improved hierarchical design flows would be useful in the art.
One aspect provides a method of designing an IC. In one embodiment, the method includes: (1) receiving timing and physical constraints for an IC design at an apparatus, (2) establishing a hierarchical design flow for providing an implementation of the IC design employing the apparatus and (3) partitioning the hierarchical design flow into a late design flow portion and an early design flow portion employing the apparatus, wherein the late design flow portion is substantially the same for different design flow methodologies.
In another embodiment, a hierarchical design flow generator is disclosed. In one embodiment, the hierarchical design flow generator includes: (1) a partitioner configured to partition a hierarchical design flow for designing an IC into a late design flow portion and an early design flow portion, (2) a timing budgeter configured to provide a timing budget for the IC design based on initial timing constraints and progressive time constraints generated from the late design flow portion and the early design flow portion and (3) a modeler configured to develop a model for a top level implementation of the IC design based on the timing budget and block implementations generated during the late design flow portion.
Reference is now made to the following descriptions taken in conjunction with the accompanying drawings, in which:
Hierarchical design flows are usually either top-down or bottom-up without a singular methodology to accommodate both of the methodologies. Instead of a purely top-down or bottom-up methodology, in practice a merged methodology can be applied more effectively to leverage the staggered design maturity that happens in a hierarchical design. For example, some blocks (i.e., functional blocks of an IC design) can mature ahead of other blocks, and in some cases the top-level (i.e., the chip level) may mature ahead of certain blocks. As such, purely top-down and bottom-up methodologies do not take advantage of staggered maturity of top-level and block-levels. Disclosed herein is a design flow partitioning method that uses a mixed methodology to take advantage of the staggered maturity, reduces turn-around-time and improves timing predictability in hierarchical designs.
A feature of this mixed methodology is a unique method of partitioning a hierarchical implementation design flow (i.e., a hierarchical design flow), managing the timing budget associated with the hierarchical design flow and modeling the blocks to allow simultaneous top-down and bottom-up design to take full advantage of staggered maturity of top and bottom blocks. In order to permit simultaneous top-down and bottom-up design, the hierarchical design flow is partitioned into two parts, a late design flow portion (see
The late design flow portion 100 is defined such that it is the same for a top-down, a bottom-up, or any variation of design flow in between. Thus, the late design flow portion 100 is defined wherein it is the same or substantially the same for various design flow methodologies. The late design flow portion 100 includes a block section representing a functional block, Block A, of the IC.
In
The block section includes Block Implementations 110 that represents block iterations going from a First Implementation 112 (i.e., f1 . . . fM) to a Final Implementation 116. Additionally, the block section includes a Finalized Block Model 150 that is constructed based on the Final Implementation 116. During the block iterations, all of the minor timing violations may be fixed, or if there are valid interface violations, a timing budget for the blocks can be re-negotiated with the top-level of the hierarchical design model (i.e., the golden timing budget). In addition, block iterations allow for ECOs (Engineering Change Orders). ECOs occur when functional verification (which is usually being run in parallel with the design implementation) detects bugs and corrections are made to the design to overcome those bugs. Through the re-negotiating, a Golden Budget X 120 is established. The Golden Budget X 120 can be used to build updated Hierarchical Design Flow Models 130 to keep a Top-Level Implementation 140 of a top level section of the late design flow portion 100 moving ahead through its final implementation iterations from a First Late Implementation 142 to a Final Implementation 146 (f1 . . . fN).
Constraint Analysis 160 provides timing constraints to I/O Timing Tuning 170. The timing constraints may be provided from external factors, such as, floor planning, routing and integration with other blocks of the IC. The timing constraints can be used to reduce the number of iterations to achieve timing closure for the IC design. The timing constraints may undergo several refinements as they are pushed through the design flow from, for example, RTL to post layout. As such, the I/O timing tuning 170 manages timing constraints to preserve design intent based on the input from the Golden Budget X 120. If constraints are not managed properly, unnecessary iterations between front-end and back-end groups across the design flow may occur. The Constraint Analysis 160, the I/O Timing Tuning 170 and the Hierarchical Design Flow Models 130 are part of a parallel top-level design flow of the early design flow portion of
As the Top-Level Implementation 140 converges towards its final implementation, fN, the expectation is that Block A is complete and a Finalized Block Model 150 is used to complete the top-level Final Implementation 146 fN. As illustrated, the Finalized Block Model 150 is obtained from the Final Block Implementation 116. The Finalized Block Model 150 may be an abstracted model that is generated by CAD tools. In one embodiment, the Finalized Block Model 150 may be an Extracted Timing Model (ETM). In another embodiment, the Finalized Block Model 150 may be an Interface Logic Model (ILM) of an Integrated Circuit Compiler (ICC), such as an ICC CAD tool from Synopsis, Inc., of Mountain View, Calif. The Final Implementation 146 fN may then be used to construct the IC. In some embodiments, the Final Implementation 146 fN may be a GDSII file that is provided to an IC foundry for IC fabrication. GDSII is an acronym for the database file format Graphic Design System II stream format that is owned by Cadence Design Systems, Inc., of San Jose, Calif.
The early design flow portion 200 includes Floor Planning 210, Timing Budget Estimates 220 and an Early Golden Timing Budget 230. The Floor Planning 210 involves planning for the placement of components or blocks of the IC design that are typically independently designed and placed together to form an IC such as a SOC. The placement information of the IC design generated from the Floor Planning 210 provides timing information between components of the IC design. The Floor Planning 210 typically receives data from logic synthesis of the IC design generated from the RTL.
Timing Budget Estimates 220 provides timing information that may be provided by knowledge from a designer. Both the placement information and the manual timing information are provided to the Early Golden Timing Budget 230 and used thereby to generate I/O constraints for the IC design. The Early Golden Timing Budget 230 also receives timing information generated from a Bottom-Up Block-Flow 240 of the early design flow portion 200.
In addition to the Bottom-Up Block-Flow 240, the early design flow portion 200 includes a Top-Down Block-Flow 250 and a Parallel Top-Level Design Flow 260. The Bottom-Up Block-Flow 240 represents blocks of the IC design that mature early in the IC design process. Block-Y Frame 242 represents such early blocks. Block-Y Early Achievable Implementation 244 is also represented in the Bottom-Up Block-Flow 240. An early implementation of the Block-Y can be achieved based on, for example, information from the Floor Planning 210 and standard functional blocks that may be available from, for example, a cell library. Early Achievable Implementation Block Y 244 may be provided to the late design flow portion of Block Y (e.g., Block A Implementation 112). As such, each block of the design can be progressing asynchronously while the top-level is progressing on its own. While the design flow is similar in each case, each block can be at a different stage of its own specific design flow (including the top-level).
Early Block-Y Constraints 246 can be provided for achieving the Block-Y Early Achievable Implementation 244. The Early Block-Y Constraints 246 can be provided from the Floor Planning 210 or may be obtained via constraints associated with a known block, such as, a block from a cell library. Early design iterations of the Early Block-Y Achievable Implementation 244 establish Achievable Block-Y I/O Constraints 248 that provides information to the Early Golden Timing Budget 230. The Achievable Block-Y I/O Constraints 248 is also provided to the Early Block-Y Constraints 246 for analysis and updating. Accordingly, refining of the block budget can occur. Though the block-budget may include area and other constraints allocated therefor, herein the block-budget can be considered as the amount of clock-period allocated for timing transactions inside a block through the block's boundary I/O pins.
The Top-Down Block-Flow 250 includes a Block-X Frame 252 that represents the functional blocks of the IC design that mature later or even simultaneously with the top-level of the IC design. The Top-Down Block-Flow 250 also includes Block-X Implementations 254 that represent block iterations going from a First Early Implementation 255 to a Final Early Implementation 257 (i.e., e1 . . . eM). The I/O constraints from the Early Golden Timing Budget 230 are used to drive the Block-X Implementations 254.
The Parallel Top-Level Design Flow 260 includes a Top Floor Plan 261, a Hierarchical Modeling Flow 262 and Top Level Early Implementations 267. The Top Floor Plan 261 is generated from the Floor Planning 210 and is configured to provide a floor plan for the Top Level Early Implementations 267. The Top Level Early Implementations 267 also receives modeling information from the Hierarchical Modeling Flow 262 to drive the iterations thereof from a Top Early Implementation 268 (i.e., e1) to a Final Top Early Implementation 269 (i.e., eN).
The Hierarchical Modeling Flow 262 generates a top level model for the IC design. The Early Golden Timing Budget 230 provides I/O constraints for the Hierarchical Modeling Flow 262 to drive the Early Top-Level Design Implementations 267 in parallel with the Block-X Implementations 254. In addition to the I/O constraints from the Early Golden Timing Budget 230, the Hierarchical Modeling Flow 262 generates a Hierarchical Design Flow Model 266 employing a Block-Netlist 263, a Constraint Analysis 264 and I/O Timing Tuning 265. The Hierarchical Design Flow Model 266 may be, for example, a Liberty model that allows modeling of generated clocks and internal clocks and a FRAM model.
In a step 310, timing and physical constraints for an IC design are received at an apparatus. The timing and physical constraints may be received from floor planning for the IC design.
In a step 320, a hierarchical design flow is established for providing an implementation of the IC design. The apparatus may generate the hierarchical design flow.
The hierarchical design flow is then partitioned into a late design flow portion and an early design flow portion in a step 330. As discussed with respect to
Partitioning into the early design flow portion and the late design flow portion allows simultaneous top-down and bottom-up design methodologies for the IC design. The early design flow portion includes establishing an early timing budget based on achievable input and output constraints from a bottom-up block-flow of the early design flow portion. The early design flow portion also includes employing the early timing budget to generate an early top-level implementation and an early block level implementation of the IC design.
The late design flow portion includes generating a final block level implementation based on the early block level implementation. The late design flow portion also includes establishing a final timing budget based on the early top-level implementation and generating the final block level implementation. Additionally, the late design flow portion includes providing a final top-level implementation of the IC design employing the final timing budget and the final block level implementation.
The final top-level implementation of the late design flow portion is used to construct an IC in a step 340. The method 300 then ends in a step 350.
The partitioner 410 is configured to partition a hierarchical design flow for designing an IC into a late design flow portion and an early design flow portion. The partitioner 410 may include the necessary circuitry to partition a hierarchical design flow according to the early and late designs flow of
The timing budgeter 420 is configured to provide a timing budget for the IC design based on initial timing constraints and progressive time constraints generated from the late design flow portion and the early design flow portion. The timing budgeter 420 may be configured to establish an early golden budget, re-negotiate the budget based on iterative implementations and update the budget according to the re-negotiating. The timing budgeter 420 may be configured to receive timing budget information from a user with respect to a portion of an IC design. The timing budget information can include timing information for logic that is not presently being used in a block.
The modeler 430 is configured to develop a top level model of the IC design based on the timing budget and block implementations generated during the late design flow portion. The top level model can then be used to drive a top-level implementation. The modeler 430 may iteratively develop the top level model. Both the timing budgeter 420 and the modeler 430 may employ or may include conventional EDA tools for performing their designated functions.
Those skilled in the art to which this application relates will appreciate that other and further additions, deletions, substitutions and modifications may be made to the described embodiments.
This application is a Divisional of U.S. application Ser. No. 12/510,104 filed on Jul. 27, 2009, entitled “Method For Designing Integrated Circuits Employing A Partitioned Hierarchical Design Flow And An Apparatus Employing The Method,” which issued as U.S. Pat. No. 8,239,805 on Aug. 7, 2012, is commonly assigned with the present invention and incorporated herein by reference. This application is related to the following U.S. Patents and Patent Applications, which are commonly assigned herewith and incorporated herein by reference in their entirety: Ser. No. 12/510,082 filed by Masnica, et al., on Jul. 27, 2009, entitled, “Establishing Benchmarks For Analyzing Benefits Associated With Voltage Scaling, Analyzing The Benefits And An Apparatus Therefor” and issued as U.S. Pat. No. 8,122,422 on Feb. 21, 2012; andSer. No. 12/510,122 filed by Parker, et al., on Jul. 27, 2009, entitled, “Methods For Designing Integrated Circuits Employing Context-Sensitive And Progressive Rules And An Apparatus Employing One Of The Methods” and issued as U.S. Pat. No. 8,127,264 on Feb. 28, 2012. This application is also related to the following non-provisional applications commonly assigned with the invention and incorporated herein by reference: U.S. patent application Ser. No. 12/364,918 filed by Parker, et al., on Feb. 3, 2009, entitled “Methods for Designing Integrated Circuits Employing Voltage Scaling and Integrated Circuits Designed Thereby,” U.S. patent application Ser. No. 12/365,084 filed by Jamann, et al., on Feb. 3, 2009, entitled “A Systematic Benchmarking System and Method for Standardized Data Creation, Analysis and Comparison of Semiconductor Technology Node Characteristics” issued as U.S. Pat. No. 8,024,694 on Sep. 20, 2011, and U.S. patent application Ser. No. 12/365,010 filed by Jamann, et al., on Feb. 3, 2009, entitled “A Systematic, Normalized Metric for Analyzing and Comparing Optimization Techniques for Integrated Circuits Employing Voltage Scaling and Integrated Circuits Designed Thereby” issued as U.S. Pat. No. 8,281,266 on Oct. 2, 2012.
Number | Name | Date | Kind |
---|---|---|---|
5050091 | Rubin | Sep 1991 | A |
5175696 | Hooper et al. | Dec 1992 | A |
5278769 | Bair et al. | Jan 1994 | A |
5692160 | Sarin | Nov 1997 | A |
5778216 | Venkatesh | Jul 1998 | A |
5808901 | Cheng et al. | Sep 1998 | A |
5812416 | Gupte et al. | Sep 1998 | A |
6011911 | Ho et al. | Jan 2000 | A |
6044211 | Jain | Mar 2000 | A |
6145117 | Eng | Nov 2000 | A |
6216252 | Dangelo | Apr 2001 | B1 |
6324679 | Raghunathan et al. | Nov 2001 | B1 |
6480991 | Cho et al. | Nov 2002 | B1 |
6658628 | Landy et al. | Dec 2003 | B1 |
6751786 | Teng et al. | Jun 2004 | B2 |
6766503 | Fitzhenry et al. | Jul 2004 | B2 |
6845494 | Burks et al. | Jan 2005 | B2 |
6865726 | Igusa et al. | Mar 2005 | B1 |
6927619 | Doyle | Aug 2005 | B1 |
6928630 | Moon et al. | Aug 2005 | B2 |
6952812 | Abadir et al. | Oct 2005 | B2 |
7010475 | Ehrler | Mar 2006 | B2 |
7093208 | Williams et al. | Aug 2006 | B2 |
7103863 | Riepe et al. | Sep 2006 | B2 |
7111269 | Satapathy et al. | Sep 2006 | B2 |
7146583 | Sun et al. | Dec 2006 | B1 |
7356451 | Moon et al. | Apr 2008 | B2 |
7417482 | Elgebaly et al. | Aug 2008 | B2 |
7421671 | Korobkov | Sep 2008 | B2 |
7653884 | Furnish et al. | Jan 2010 | B2 |
7669157 | Borer et al. | Feb 2010 | B1 |
7675317 | Perisetty | Mar 2010 | B2 |
7714610 | He | May 2010 | B2 |
7716023 | Barker et al. | May 2010 | B2 |
7725848 | Nebel et al. | May 2010 | B2 |
7810056 | Garg et al. | Oct 2010 | B1 |
7865850 | Kao et al. | Jan 2011 | B1 |
7919475 | Dillmann et al. | Apr 2011 | B2 |
8024649 | Morio et al. | Sep 2011 | B1 |
8024694 | Jamann et al. | Sep 2011 | B2 |
8122422 | Rao et al. | Feb 2012 | B2 |
8127264 | Parker et al. | Feb 2012 | B2 |
8181144 | Tetelbaum | May 2012 | B2 |
8239798 | Goyal et al. | Aug 2012 | B1 |
8239805 | Rao et al. | Aug 2012 | B2 |
8281266 | Jamann et al. | Oct 2012 | B2 |
8307324 | Jamann et al. | Nov 2012 | B2 |
20040044510 | Zolotov et al. | Mar 2004 | A1 |
20040230921 | Hathaway et al. | Nov 2004 | A1 |
20050257178 | Daems et al. | Nov 2005 | A1 |
20070244676 | Shang et al. | Oct 2007 | A1 |
20080162770 | Titiano et al. | Jul 2008 | A1 |
20080195359 | Barker et al. | Aug 2008 | A1 |
20080244491 | Ganesan et al. | Oct 2008 | A1 |
20080307240 | Dahan et al. | Dec 2008 | A1 |
20090254874 | Bose | Oct 2009 | A1 |
20100026378 | Parker et al. | Feb 2010 | A1 |
20100037188 | Jamann et al. | Feb 2010 | A1 |
20100058272 | Bowers et al. | Mar 2010 | A1 |
20110022998 | Rao et al. | Jan 2011 | A1 |
20110138347 | Tetelbaum | Jun 2011 | A1 |
20130055175 | Jamann et al. | Feb 2013 | A1 |
Entry |
---|
Beenker et al., “A Testability Strategy for Silicon Compilers”, 1989 Int'l Test Conference, IEEE, pp. 660-669. |
Benaben et al., “A UML-based complex system design method MoFoV (Modeling / Formalizing / Verifying)”; Laboratoire de Genie Informatique et d'Ingenierie de Production; Site EERIE de L'Ecole des mines d'Ales, Parc Scientifique Georges Besse, France; 2002 IEEE SMC; 6 pages. |
Courtoy et al., “Physical Prototyping Plans for High Performance Early Planning and Analysis for Area, Timing, Routability, Clocking, Power and Signal Integrity”, 2004, Closing the Gap Between ASIC & Custom, Chapter 6, pp. 169-186. |
Hedenstiema et al., “The Halo Algorithm—An Algorithm for Hierarchical Design of Rule Checking of VLSI Circuits”, 2002, IEEE SMC, 6 pages. |
Mathur et al., “Power Reduction Techniques and Flows at RTL and System Level”, 2009, 22nd Int'l Conference on FLSI Design, Tutorial T3, pp. 28-29. |
McGrath et al., “Design Integrity and Immunity Checking: A New Look at Layout Verification and Design Rule Checking”, 1980, ACM, pp. 263-268. |
Saputra et al., “Energy-Conscious Compilation Based on Voltage Scaling”, LCTES02, Jun. 19-21, 2002, 10 pages. |
Snowdon, et al., “Power Management and Dynamic Voltage Scaling: Myths and Facts”, National ICT Australia and School of Computer Science and Engineering, University of NSW, Sydney 2052, Australia, Sep. 16, 2005, 7 pages. |
Wagner, “Hierarchical Layout Verification”, IEEE Design & Test, Feb. 1985, pp. 31-37. |
Number | Date | Country | |
---|---|---|---|
20120174048 A1 | Jul 2012 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 12510104 | Jul 2009 | US |
Child | 13421710 | US |