Andreas Kurth, Alessandro Capotondi, Pirmin Vogel, L. Benini, A. Marongiu
{"title":"HERO: an open-source research platform for HW/SW exploration of heterogeneous manycore systems","authors":"Andreas Kurth, Alessandro Capotondi, Pirmin Vogel, L. Benini, A. Marongiu","doi":"10.1145/3295816.3295821","DOIUrl":null,"url":null,"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.\n 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.\n 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.","PeriodicalId":280329,"journal":{"name":"ANDARE '18","volume":"94 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ANDARE '18","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3295816.3295821","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.