{"title":"利用带宽有限的片外存储设备实现HLS电路的长调试跟踪","authors":"Jeffrey B. Goeders","doi":"10.1109/FCCM.2017.29","DOIUrl":null,"url":null,"abstract":"High-level synthesis (HLS) has gained considerable traction in recent years. Despite considerable strides in the development of quality HLS compilers, one area that is often cited as a barrier to HLS adoption is the difficulty in debugging HLS produced circuits. Recent academic work has presented techniques that use on-chip memories to efficiently record execution of HLS circuits, and map the captured data back to the original source code to provide the user with a software-like debug experience. However, limited on-chip memory results in very short debug traces, which may force a designer to spend multiple debug iterations to resolve complicated bugs. In this work we present techniques to enable off-chip capture of HLS debug information. While off-chip storage does not suffer from the capacity limitations of on-chip memory, its usage introduces a new challenge: limited bandwidth. In this work we show how information from within the HLS flow can be leveraged to generated a streamed debug trace within given bandwidth constraints. For a bandwidth limited interface, we show that our techniques allow the user to observe 19x more source code variables than using a basic approach.","PeriodicalId":124631,"journal":{"name":"2017 IEEE 25th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enabling Long Debug Traces of HLS Circuits Using Bandwidth-Limited Off-Chip Storage Devices\",\"authors\":\"Jeffrey B. Goeders\",\"doi\":\"10.1109/FCCM.2017.29\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"High-level synthesis (HLS) has gained considerable traction in recent years. Despite considerable strides in the development of quality HLS compilers, one area that is often cited as a barrier to HLS adoption is the difficulty in debugging HLS produced circuits. Recent academic work has presented techniques that use on-chip memories to efficiently record execution of HLS circuits, and map the captured data back to the original source code to provide the user with a software-like debug experience. However, limited on-chip memory results in very short debug traces, which may force a designer to spend multiple debug iterations to resolve complicated bugs. In this work we present techniques to enable off-chip capture of HLS debug information. While off-chip storage does not suffer from the capacity limitations of on-chip memory, its usage introduces a new challenge: limited bandwidth. In this work we show how information from within the HLS flow can be leveraged to generated a streamed debug trace within given bandwidth constraints. For a bandwidth limited interface, we show that our techniques allow the user to observe 19x more source code variables than using a basic approach.\",\"PeriodicalId\":124631,\"journal\":{\"name\":\"2017 IEEE 25th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)\",\"volume\":\"87 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 25th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FCCM.2017.29\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 25th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FCCM.2017.29","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Enabling Long Debug Traces of HLS Circuits Using Bandwidth-Limited Off-Chip Storage Devices
High-level synthesis (HLS) has gained considerable traction in recent years. Despite considerable strides in the development of quality HLS compilers, one area that is often cited as a barrier to HLS adoption is the difficulty in debugging HLS produced circuits. Recent academic work has presented techniques that use on-chip memories to efficiently record execution of HLS circuits, and map the captured data back to the original source code to provide the user with a software-like debug experience. However, limited on-chip memory results in very short debug traces, which may force a designer to spend multiple debug iterations to resolve complicated bugs. In this work we present techniques to enable off-chip capture of HLS debug information. While off-chip storage does not suffer from the capacity limitations of on-chip memory, its usage introduces a new challenge: limited bandwidth. In this work we show how information from within the HLS flow can be leveraged to generated a streamed debug trace within given bandwidth constraints. For a bandwidth limited interface, we show that our techniques allow the user to observe 19x more source code variables than using a basic approach.