Domain-specific programmable design of scalable streaming-array for power-efficient stencil computation

Author:

Sano Kentaro1,Yamamoto Satoru1,Hatsuda Yoshiaki2

Affiliation:

1. Sciences, Tohoku University

2. Kobo, Co., Ltd.

Abstract

This paper presents the domain-specific programmable design of custom computing machines for high-performance stencil computation. Stencil computation is one of the typical kernels in scientific computations, however its low operational-intensity makes the sustained performance limited by memory bandwidth on recent microprocessors and GPUs. So far we have proposed a scalable streaming-array (SSA) of processing elements, which provides almost linear scalability by increasing FPGAs with a constant externalmemory bandwidth. In order to facilitate custom computing and efficiently utilize hardware resources for various and complex stencil-computations, we design programmable SSA with limited but necessary functionality. We show the design concept, the programmable structure and the SIMD instruction set for SSA. Prototype implementation with nine FPGAs demonstrates that our programmable design with a lot of floating-point units exploits hardware resources well, efficiently achieving 260 GFlop/s, which is 87.4% of the peak, at 1295 MFlop/sW.

Publisher

Association for Computing Machinery (ACM)

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. GPU performance analysis for viscoacoustic wave equations using fast stencil computation from the symbolic specification;The Journal of Supercomputing;2023-03-20

2. DCMI;ACM Transactions on Architecture and Code Optimization;2019-12-31

3. On How to Accelerate Iterative Stencil Loops;ACM Transactions on Architecture and Code Optimization;2016-01-07

4. Multi-FPGA Accelerator for Scalable Stencil Computation with Constant Memory Bandwidth;IEEE Transactions on Parallel and Distributed Systems;2014-03

5. An FPGA Implementation of the Two-Dimensional FDTD Method and Its Performance Comparison with GPGPU;IEICE Transactions on Electronics;2014

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