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OpenCL-Based FPGA-Platform for Stencil Computation and Its Optimization Methodology
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DOI：10.1109/TPDS.2016.2614981.png)
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Stencil computation is widely used in scientific computations and many accelerators based on multicore CPUs and GPUs have been proposed. Stencil computation has a small operational intensity so that a large external memory bandwidth is usually required for high performance. FPGAs have the potential to solve this problem by utilizing large internal memory efficiently. However, a very large design, testing and debugging time is required to implement an FPGA architecture successfully. To solve this problem, we propose an FPGA-platform using C-like programming language called open computing language (OpenCL). We also propose an optimization methodology to find the optimal architecture for a given application using the proposed FPFA-platform. According to the experimental results, we achieved 119 similar to 237 Gflop/s of processing power and higher processing speed compared to conventional GPU and multicore CPU implementations.
Keyword:
OpenCL for FPGA
high performance computing
stencil computation
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