FPGA implementation of heterogeneous multicore platform with SIMD/MIMD custom accelerators
FPGA implementation of heterogeneous multicore platform with SIMD/MIMD custom accelerators
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DOI：
10.1109/iscas.2012.6271489
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发表时间：
2012-05
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影响因子：
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通讯作者：
Hasitha Muthumala Waidyasooriya;Yasuhiro Takei;M. Hariyama;M. Kameyama
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文献类型：
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作者：
Hasitha Muthumala Waidyasooriya;Yasuhiro Takei;M. Hariyama;M. Kameyama
基于cpu和加速器的异构多核体系结构可以在从低功耗嵌入式处理到高性能计算的各个领域实现高效节能计算，因此备受关注。由于最佳体系结构因应用程序而异，因此为不同的应用程序探索合适的体系结构非常重要。在本文中，我们提出了一个基于fpga的异构多核平台，具有自定义加速器，用于节能计算。我们的平台允许根据应用程序的要求选择最合适的加速器。此外，我们还优化了所选加速器的alu数量、内存和互连网络，以提高性能并降低功耗。实验结果与简单的媒体处理应用程序相比，功耗是GPU的几倍。
Heterogeneous multi-core architecture with CPUs and accelerators attract many attentions since they can achieve power-efficient computing in various areas from low-power embedded processing to high-performance computing. Since the optimal architecture is different from application to applications, it is important to explore suitable architectures for different applications. In this paper, we propose an FPGA-based heterogeneous multi-core platform with custom accelerators for power-efficient computing. Our platform allows to select the most suitable accelerator according to the requirements of an application. Moreover, we optimize the number of ALUs, memory and interconnection network of the selected accelerators to increase the performance and to reduce the power consumption. Experimental results with simple media processing applications times power-efficient compared to the GPU.