This paper describes CHiMPS, a C-based accelerator compiler for hybrid CPU-FPGA computing platforms. CHiMPS's goal is to facilitate FPGA programming for highperformance computing developers. It inputs generic ANSI-C code and automatically generates VHDL blocks for an FPGA. The accelerator architecture is customized with multiple caches that are tuned to the application. Speedups of 2.8x to 36.9x (geometric mean 6.7x) are achieved on a variety of HPC benchmarks with minimal source code changes.

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What will the impact of Reconfigurable Computing be on High Performance Computing? This paper defines Reconfigurable Computing, considers the issues and promises, and projects the impact on HPC.

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