HERO: an open-source research platform for HW/SW exploration of heterogeneous manycore systems

ANDARE '18 Pub Date : 2018-11-04 DOI:10.1145/3295816.3295821
Andreas Kurth, Alessandro Capotondi, Pirmin Vogel, L. Benini, A. Marongiu
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引用次数: 14

Abstract

Heterogeneous systems on chip (HeSoCs) co-integrate a high-performance multicore host processor with programmable manycore accelerators (PMCAs) to combine "standard platform" software support (e.g. the Linux OS) with energy-efficient, domain-specific, highly parallel processing capabilities. In this work, we present HERO, a HeSoC platform that tackles this challenge in a novel way. HERO's host processor is an industry-standard ARM Cortex-A multicore complex, while its PMCA is a scalable, silicon-proven, open-source many-core processing engine, based on the extensible, open RISC-V ISA. We evaluate a prototype implementation of HERO, where the PMCA implemented on an FPGA fabric is coupled with a hard ARM Cortex-A host processor, and show that the run time overhead compared to manually written PMCA code operating on private physical memory is lower than 10 % for pivotal benchmarks and operating conditions.
HERO:用于异构多核系统的硬件/软件探索的开源研究平台
异构片上系统(HeSoCs)将高性能多核主机处理器与可编程多核加速器(PMCAs)集成在一起,将“标准平台”软件支持(例如Linux操作系统)与节能、特定领域、高度并行的处理能力相结合。在这项工作中,我们提出了HERO,一个HeSoC平台,以一种新颖的方式解决了这一挑战。HERO的主处理器是一个行业标准的ARM Cortex-A多核复合处理器,而它的PMCA是一个可扩展的、经过硅验证的、开源的多核处理引擎,基于可扩展的、开放的RISC-V ISA。我们评估了HERO的原型实现,其中在FPGA结构上实现的PMCA与硬ARM Cortex-A主机处理器相结合,并表明与在私有物理内存上手动编写的PMCA代码相比,在关键基准测试和操作条件下,运行时开销低于10%。
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