{"title":"Work-in-Progress: RISC-V Based Low-cost Embedded Trace Processing System","authors":"Xiao Hu, Yao Wang, Xuan-yi Gao","doi":"10.1109/CASES55004.2022.00022","DOIUrl":null,"url":null,"abstract":"Although on-chip Trace debugging plays a key role in post-silicon debug and software optimizations, it suffers from massive trace information handling with limited on-chip hardware resources in embedded SoC processors. To this end, this paper proposes a Low-cost Embedded Trace Processing System (LE-TPS). LE-TPS employs a low-cost RISC-V core with customized trace handling instructions to exploit the underutilized resources of existing SoCs. This helps LE-TPS to collect, store and transmit the trace information in a way with low hardware cost, software independent feature, and minimal performance overhead. We believe that LE-TPS could be effective in post-silicon debug and software optimizations.","PeriodicalId":331181,"journal":{"name":"2022 International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CASES55004.2022.00022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Although on-chip Trace debugging plays a key role in post-silicon debug and software optimizations, it suffers from massive trace information handling with limited on-chip hardware resources in embedded SoC processors. To this end, this paper proposes a Low-cost Embedded Trace Processing System (LE-TPS). LE-TPS employs a low-cost RISC-V core with customized trace handling instructions to exploit the underutilized resources of existing SoCs. This helps LE-TPS to collect, store and transmit the trace information in a way with low hardware cost, software independent feature, and minimal performance overhead. We believe that LE-TPS could be effective in post-silicon debug and software optimizations.