1. Hy-C A Compiler Retargetable for Single-Chip Heterogeneous Multiprocessors Philip Sweany 8/30/2013

2. Hybrid Computing Heterogeneous processors on single chip – “CPU” – FPGA – ASIC – N “CPU”s, M FPGAs, K ASICs Tradeoffs of performance, power, flexibility

3. CPU 1 CPU 2 CPU m Multi-CPU FPGA 1 FPGA 2 FPGA n Multi-FPGA Shared Memory Generic Hybrid Architecture

4. System Specification Partitioning CPU Compiler FPGA Synthesis CPU Power-Performance Model FPGA Power-Performance Model Source Code Generic Hy-C Tools Optimization Control Objectives/Constraints

5. Veyron Tesla Ducati Multi-CPU Shared Memory OMAP Resources (old)

6. OMAP Processor Resources Chiron – 2 x 600 MHz (2 symmetric processors each at 600 MHz with shared L2) – Power 600uW / MHz Tesla – DSP Sub-System (C64x derivative); 400 MHz, 8-wide ILP – Power 200uW / MHz Ducati – 200 MHz (targeted for control, low latency code) – Power 100uW / MHz

7. StrongArm C64x FPGA Shared Memory “Canonical” Resources WimpyArm

8. “Canonical” Processor Resources StrongArm – 2 x 600 MHz (2 symmetric processors each at 600 MHz with shared L2) – Power 600uW / MHz C64x – DSP Sub-System (C64x derivative); 400 MHz, 8-wide ILP – Power 200uW / MHz WimpyArm – 200 MHz (targeted for control, low latency code) – Power 100uW / MHz FPGA fabric

9. System Specification Partitioning Strong Wimpy Source Code Hy-C for Canonical Chip Optimization Control Objectives/Constraints C64x FPGA

10. Open Issue(s) How should we describe the architecture? How should we describe the optimization constraints? How/when shall we implement this beast? How will we evaluate the “performance” of the generated code?