ESSPER: Elastic and Scalable System for High-Performance Reconfigurable Computing with Software-bridged APIs

K. Sano, Atsushi Koshiba, Takaaki Miyajima, Tomohiro Ueno
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引用次数: 2

Abstract

Many-core CPUs and GPUs, present mainstream architectures for HPC, are facing difficulty in maintaining the same performance improvement rate because of the recent slow-down in the semiconductor scaling, the dark silicon problem, and wasteful mechanisms required for accelerating general-purpose computing such as a branch predictor and an out-of-order mechanism. Also, the power efficiency of HPC systems is significantly important to achieve higher performance.
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ESSPER:具有软件桥接api的高性能可重构计算弹性和可扩展系统
多核cpu和gpu是目前高性能计算的主流架构,由于最近半导体规模的放缓、暗硅问题以及加速通用计算所需的浪费机制(如分支预测器和乱序机制),它们在保持相同的性能提高速度方面面临困难。此外,高性能计算系统的功率效率对于实现更高的性能非常重要。
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