hardware image signal processing and integration into architectural simulator for soc platform
DESCRIPTION
Hardware Image Signal Processing and Integration into Architectural Simulator for SoC Platform. Hao Wang University of Wisconsin, Madison. Outline. Introduction on SoC Motivation Verilog implementation of JPEG encoder Integrated SoC simulator Future work. System-on-Chip Platform. - PowerPoint PPT PresentationTRANSCRIPT
Hardware Image Signal Processing and Integration into Architectural Simulator for SoC Platform
Hao Wang
University of Wisconsin, Madison
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Outline Introduction on SoC
Motivation
Verilog implementation of JPEG encoder
Integrated SoC simulator
Future work
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System-on-Chip Platform Mobile computing – New driving force
Smartphones, Tablets
SoC – Popular solution Qualcomm’s Snapdragon, Samsung’s Exyons General-purpose CPU, Graphics processing, Application-specific
accelerators, Modem, etc.
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Resource Management on SoC Schematic of Snapdragon SoC
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Resource Management on SoC Memory bandwidth is the most critical resource shared on SoC
Shared Memory Channel
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Motivation Heterogeneous system
CPU – Sensitive to memory latency GPU – High bandwidth demand, real-time deadline DSP, multimedia processor – Low response latency requirement
Key problem No architectural simulator available for SoC platform Integrated CPU-GPU simulator: http://cpu-gpu-sim.ece.wisc.edu/
Goal of this project Design a hardware JPEG encoder using Verilog Write an architectural model for the hardware encoder Integrate into a CPU simulator (gem5) as one step to build an
architectural simulator for SoC platform
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JPEG Encoder (Verilog) Implementation Matlab generates input matrix; read by testbench; Input 8x8 blocks of data (24-bit) into the encoder; one pixel per
clock cycle; Operand collector to ensure the full block is ready To tolerant variable memory access latency
RGB to YCbCr conversion DCT on 8x8 blocks Quantization; multiply (2^13/Qij) then right shift DPCM and Huffman Encoding for DC components; RLE and Huffman Encoding for AC components; Bit streams coming from Y, Cb and Cr are combined to form an output
stream (temporal multiplexing)
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JPEG Encoder Result
tif format768KB
output jpg format68KB
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Synthesis Result & Throughput Synopsys Design Compiler
TSMC 45nm general-purpose library, 800MHz
~1.0e7 blocks per sec
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Simulator Integration Difficult to find a standard
Which hardware components to include? Low level implementation details: pipelining, circuit design, etc.
Use Trimaran instead A widely-used compilation/architecture infrastructure General VLIW/Application-specific processor Configured to model DSP processor
JPEG encoder on Trimaran Software implementation 9.16e7 cycles @ 1GHz – 91.6ms ( verilog design ~0.4ms )
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Simulator Integration Still separate process; communicate using shared memory
structure in Linux OS; Memory Requests on Trimaran side will be feed to CPU
simulator (gem5) side; simulate the DRAM timing and respond;
gem5 (CPU) Trimaran (DSP)
Request queue
Memory subsystem (M5)
Response queue
Request queue
Memory subsystem (M5)
Shared memory
clock ticksetreset
tickTick scheduler
L2 cache
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Future Work Figure out how Trimaran simulates timing info
Get lock-step execution done
Figure out real-world usage scenario
Real research – writing papers – graduate
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THANK YOU!
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BACKUP SLIDES
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Some Details RGB – YCbCr
24-bit in; 24-bit out; Pipelined; 3 cycles; 1 – mult; 2 – sum; 3 – rounding;
DCT 8-bit in, pipelined; 64 11-bit output; Internal 32-bit; Output_enable set when input enable unset, so requiring idle
cycle between 8x8 blocks
Quantization 4 cycles; 1 – latch in; 2 – quantify; 3 – buffer; 4 – rounding;
Huffman Encoding DC calculated first, AC calculated in zigzag order; Totally 13 cycles inserted between 8x8 blocks
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Some Details FIFO buffer
Check for 0xFF in the bitstream, add a dummy 0x00; Append 0xFFD9 at the end
Post-processing MATLAB generates JPEG header and standard Huffman table Then get the actual JPEG file