New Strategies for System-Level Design : Where to Go?
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1 New Strategies for System-Level Design : Where to Go? Daniel Gajski Center for Embedded Computer Systems University of California, Irvine gajski@uci.edu
2 Overview Introduction Issues Models Platforms Tools Benefits Conclusion
3 Y-Chart
4 Processor behavioral model Language C -> CDFG -> FSMD (FSM +DFG)
5 Processor structural model (Component netlist: NISC technology) const RF / Scratch pad PC CMem CW B1 B2 AG offset status Status ALU MUL Memory address B3 Programmable controller Register file Controller pipelining Memory Datapath pipelining Data forwarding
6 Processor synthesis Variable binding CA scheduling Component selection Operation Binding Bus Binding Controller Synthesis Processor const RF / Scratch pad PC CMem CW B1 B2 AG offset status Status ALU MUL Memory address B3 FSMD model Processor
7 System behavioral model (Serial-parallel processes: UML + C/ SystemC)
8 System structure (Netlist of system components: processors, memories, buses)
9 System Synthesis Scheduling Behavior Binding Channel Binding Allocation IF Synthesis Profiling Refinement System µprocessor Memory IP Comp. Proc Proc Proc Interface Interface Proc Proc Bus Interface Interface System behavior Memory Custom HW System structure
10 Closing the System Gap Real gap: behavior and structure (semantics and syntax)
11 Simulation Based Methodology Ambiguous semantics of hardware/system level languages Simuletable but not synthesizable or verifiable
12 In Search of a Solution Algebra: < objects, operations> Arithmetic algebra allows creation of expressions and equivalences
13 Model Algebra Model algebra: <objects, compositions> Model algebra allows creation of models and model equivalences
14 Specify-Explore-Refine Methodology Design decisions Model refinement Replacement or re-composition FPGA board
15 How many models? Minimal set for any methodology (3 is enough) System specification model (application designers) Transaction-level model (system designers) Pin&Cycle accurate model (implementation designers)
16 Three Models (with Respect to OSI) Pin / Cycle Accurate Model Transaction Level Model Specification Model 7. Application 6. Presentation 5. Session 4. Transport 3. Network 2b. Link + Stream 2a. Media Access Ctrl 2a. Protocol 1. Physical Spec TLM 7. Application 6. Presentation 5. Session 4. Transport 3. Network 2b. Link + Stream 2a. Media Access Ctrl 2a. Protocol 1. Physical Address lines Data lines Control lines P/CAM Source: G Schirner
17 System Specification CPU Mem Computation Behaviors (in C) B1 B2 v1 Communication Channels (in C) Variables (in C) Arbiter C1 C2 Bridge B3 B4 HW System Definition = (Partial) Platform + (Partial) Spec IP
18 Transaction-Level Model (TLM) CPU B1 B2 Mem Drivers OS HAL CPU Bus IP Bus B3 B4 HW IP
19 Pin/Cycle Accurate Model (P/CAM) CPU Program EXE IC Mem Arbiter RTOS HAL Bridge HW Source: D. Gajski et al. P/CAM is downloaded automatically for fast prototyping with FPGAs or ASIC design IP
20 How many components? Minimal set for any design (4 is enough?) Processing element (PE) Memory Transducer / Bridge Arbiter
21 General System Model Arbiter 1 Arbiter 2 PE 1.1 Interrupt1.1 Transducer1-2 Interrupt2.1 Interrupt2.2 PE 2.1 (Master) PE 2.2 (Slave) Arbiter 3 PE 1.2 Interrupt3.1 Interrupt3.2 Transducer2-3 PE 3.1 Memory 1 Memory 3 Bus1 Bus2 Bus3
22 Transducer Model PE1 Addr bus1 Data bus1 Transducer Addr bus2 Data bus2 PE2 Interrupt1 Ready1 Ack_ready1 Interrupt2 Processor1 <clk1> FSMD1 <clk1> Ready2 Ack_ready2 FSMD2 <clk2> Processor2 <clk2> Data1 Data2 Memory1 Queue <clk3> Memory2 Source: H. Cho
23 Processing Element: NISC technology Direct compilation of C to HW (fastest possible execution) Statically and dynamically reconfigurable (anytime, anywhere) Designed for manufacturability (solving timing closure) const RF / Scratch pad PC CMem CW B1 B2 AG offset status Status ALU MUL Memory address B3 Programmable controller Datapath Multi-cycle units Pipelined units Controller pipelining Datapath pipelining Data forwarding
24 General System Design Environment Model A Estimation tool Refinement tool GUI Synthesis tool Component library Transforms: t1 t2... tn Verify tool ti Simulation tool Model B
25 How many tools? Minimal set for any methodology (2 is enough?) Front-End (for application developers) Input: C, C++, Mathlab, UML, Output: TLM Back-End (for SW/HW system designers) Input : TLM Output: Pin/Cycle accurate Verilog/VHDL
26 ES Environment Decision User Interface (DUI) Validation User Interface (VUI) Create Select Partition Map Compile Replace ESE Front End System Capture + Platform Development ESE Back End SW Development + HW Development Compiler Debugger Stimulate Verify TIMED CYCLE ACCURATE Compile Check Simulate Verify Application Tools : Compilers/Debuggers Commercial Tools : FPGA, ASIC
27 Benefit: Spec-to-Prototype in 1 Week Copyright Ó2007 Daniel D. Gajski
28 Does it work? Intuitively it does Well defined models, rules, transformations, refinements Worked in the past: layout, logic, RTL? System level complexity simplified Proof of concept demonstrated Embedded System Environment (ESE) Automatic model generation Model synthesis and verification Universal IP technology (NISC) Productivity gains greater then 1000 Benefits Large productivity gains Easy design management Easy derivatives Shorter TTM
29 Design flow with NISC technology for(int i=0; i<8; i++) for(int i=0; i<8; i++) for(int j=0; j<8; j++){ for(int j=0; j<8; j++){ sum=0; sum=0; for(int k=0; k<8; k++) for(int k=0; k<8; k++) sum = sum + A[i][k] B[k][j]; sum = sum + A[i][k] B[k][j]; C[i][j] = sum; C[i][j] = sum; } } Code Refinement for(int i=0; i<8; i++) for(int i=0; i<8; i++) for(int j=0; j<8; j++){ for(int j=0; j<8; j++){ i8 = i 8; i8 = i 8; sum = *(A + i8) *(B + j); sum = *(A i8) *(B + j); sum += *(A + i8 + 1) *(B j); sum += *(A + i8 + 1) *(B j); C[i][j] = sum; C[i][j] = sum; } } Application NISC Compiler Results Application NISC Compiler Results PC NISC CMem AG offset status CW status address const B1 B2 B3 ALU MUL RF Memory NISC Refinement PC NISC CMem CW const offset AG status ALU DR RF OR AR Mem al bl Mul Sum P Add Iterative design & refinement Source: M. Reshadi
30 DCT with NISC technology Execution Time Power Energy Area MIPS NMIPS CDCT1 CDCT2 CDCT3 CDCT4 CDCT5 CDCT6 CDCT7 Manual NMIPS vs. MIPS CDCT3 vs. NMIPS CDCT7 vs. NMIPS Performance Power saving Energy saving Area reduction 1.25X NA NA NA 5.3X 2.1X 11.6X 2.5X 10X 1.3X 12.8X 3X CDCT7 vs. Manual Source: B. Gorjiara 0.83X 1.3X 0 2.1X
31 Example: MP3 Decoder Functional block diagram (major blocks only) 2 granules AliasRed IMDCT FilterCore mp3 HuffDec Left channel PCM pcm AliasRed IMDCT FilterCore Right channel Timing constraints 38 frames per second Frame delay < 26.12ms
32 MP3 Player TLM (SW+4HW) Mem2 HW1 HW3 Microblaze CPU MP3 OS HAL LMB Bus Bridge Left Filter Left IMDCT OPB Bus DH Bus Mem1 HW2 Right Filter HW4 Right IMDCT MP3 encoder mapped to SW (MicroBlaze), filters and IMDCT to HW Mem1 (on OPB bus) for data, Mem2 (on LMB bus) for program Custom HWs on DoubleHdshk (DH) bus, with bridge to OPB
33 Manual Design Quality % chip utilization SW+0 SW+1 SW+2 SW seconds %Slices %BRAMs Exec. time Design Points Area % of FPGA slices and BRAMS Performance Time to decode 1 frame of MP3 data
34 Design Quality with NISC components % chip utilization SW+0 SW+1 SW+2 SW+4NISC seconds %Slices %BRAMs Exec. time Design Points Area NISC uses fewer FPGA slices and more BRAMs than manual HW Performance NISC comparable to manual HW and much faster than SW
35 Development Manual Development Time with Time ESE person-days ESE SW+0 SW+1 SW+2 SW Spec. TLM RTL Board models Model Development time Includes time for C, TLM and RTL Verilog coding and debugging ESE drastically cuts RTL and Board development time Source: S. Abdi
36 Development Time with ESE person-days ESE SW+0 SW+1 SW+2 SW Spec. TLM RTL Board models ESE drastically cuts RTL and Board development time Models can be developed at Spec and TL Synthesizable RTL models are generated automatically by ESE Source: S. Abdi
37 Validation Time Time with ESE hours hrs hrs hrs hrs X seconds ESE Spec. TLM RTL Board models SW+0 SW+1 SW+2 SW+4 Simulation time measured on 3.3 GHz processor Emulation time measured on board with Timer ESE cuts validation time from hours to seconds Source: S. Abdi
38 Validation Time with ESE seconds ESE SW+0 SW+1 SW+2 SW Spec. TLM RTL Board models ESE cuts validation time from hours to seconds No need to verify RTL models Designers can perform high speed validation at TLM and board Source: S. Abdi
39 Conclusions Extreme makeover is necessary for a new paradigm, where SW = HW = SOC = Embedded Systems Simulation based flow is not acceptable Design methodology is based on scientific principles Model algebra is enabling technology for System design, modeling and simulation System synthesis, verification, and test What is next? Change of mind Application oriented EDA Looking for early adapters
40 Thank You Daniel Gajski Center for Embedded Computer Systems (CECS)
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