Hardware Software Co-design and SoC. Neeraj Goel IIT Delhi

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1 Hardware Software Co-design and SoC Neeraj Goel IIT Delhi

2 Introduction What is hardware software co-design Some part of application in hardware and some part in software Mpeg2 decoder example Prediction Header reader Slice Decoding Addition Storing IDCT

3 Introduction MPEG2 Decoder example Prediction and IDCT are most computation intensive Best candidates for hardware Prediction Header reader Slice Decoding Addition Storing IDCT

4 Introduction MPEG2 Decoder example Deadline time for each frame = 1/25 sec = 40msec Achievable with 1GHz processor in 20msec With 100MHz processor = 200msec IDCT and prediction is 90% computation A hardware IDCT and prediction = 10msec Suggested architecture 10% computation on hardware + 90% on hardware 20msec + 10msec + overhead < 40msec

5 Why Hardware Software Codesign Hardware Advantages Less area, low power, high performance Low flexibility (difficult to modify) More design time Software Advantage More area, power, less performance High flexibility (easy to modify) Less design time Embedded system issues Area, power and performance matters Solution is hardware-software codesign

6 Issues with Hardware-Software Codesign Partitioning Selecting modules for hardware and software Testing Co-simulation and verification Code generation Software controls for hardware Design issues Hardware Software interface Communication between h/w and s/w

7 Target Architecture Platform based solutions (fixed interface) Use standard communication buses (AMBA, AHB..) Use cores from third party Processor core1 IDCT Memory AMBA Bus Processor core2 Prediction core

8 Codesign Methodology C Specification Thread Model Partitioning S/W Synthesis H/W Synthesis Co-simulation Prototyping

9 Partitioning Hardware Estimation Input: Resources available Functional units (type and number) Memory (port and size) Output: Number of cycles Software Estimation Input: Instruction set architecture Output: Cycles, program memory, data memory

10 Partitioning (IITD approach) SUIF based infrastructure Hardware estimation Input C function HMDES : Machine description (FU, memory and latency) Methodology Data flow graph List scheduling estimates Software Estimation Architecture supported : ALPHA, PISA

11 Partitioning Application Profiling GCC Compiler Gprof : function level profiling Gcov : line by line profiling Intel s compiler VTune performance analyzer

12 Prototyping (Leon Based) Leon : A Sparc based micropocessor core RTL level VHDL Instruction slot available Co-design Possibilities Hardware can access registers and memory No communication overhead Decoder design of processor effected Hardware and processor has shared memory Less communication overhead Hardware has local memory and communication is by BUS Communication overhead, Least interference with Leon core

13 Prototyping (Commercial FPGA) Xilinx support for Hardware-Software codesign Available core Microblaze (Softcore) PowerPC Hardcore Software support EDK (Embedded Design Kit) Simulation and synthesis support for co-design Instruction extension in microblaze is possible Various cores are available with EDK Altera support for hardware-software codesign NIOS based system GUI support, Instruction extension to NIOS

14 Prototyping (Possible Student projects) Image Processing Image kernels (DCT, equalization, histogram) Scientific application Crypro factoring algorithm Linear equation solver

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