{"title":"面向高级综合的多库内存联合模调度和内存分区(仅摘要)","authors":"Tianyi Lu, S. Yin, Xianqing Yao, Zhicong Xie, Leibo Liu, Shaojun Wei","doi":"10.1145/3020078.3021778","DOIUrl":null,"url":null,"abstract":"High-Level Synthesis (HLS) has been widely recognized and accepted as an efficient compilation process targeting FPGAs for algorithm evaluation and product prototyping. However, the massively parallel memory access demands and the extremely expensive cost of single-bank memory with multi-port have impeded loop pipelining performance. Thus, based on an alternative multi-bank memory architecture, a joint approach that employs memory-aware force directed scheduling and multi-cycle memory partitioning is formally proposed to achieve legitimate pipelining kernel and valid bank mapping with less resource consumption and optimal pipelining performance. The experimental results over a variety of benchmarks show that our approach can achieve the optimal pipelining performance and meanwhile reduce the number of multiple independent memory banks by 55.1% on average, compared with the state-of-the-art approaches.","PeriodicalId":252039,"journal":{"name":"Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays","volume":"97 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Joint Modulo Scheduling and Memory Partitioning with Multi-Bank Memory for High-Level Synthesis (Abstract Only)\",\"authors\":\"Tianyi Lu, S. Yin, Xianqing Yao, Zhicong Xie, Leibo Liu, Shaojun Wei\",\"doi\":\"10.1145/3020078.3021778\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"High-Level Synthesis (HLS) has been widely recognized and accepted as an efficient compilation process targeting FPGAs for algorithm evaluation and product prototyping. However, the massively parallel memory access demands and the extremely expensive cost of single-bank memory with multi-port have impeded loop pipelining performance. Thus, based on an alternative multi-bank memory architecture, a joint approach that employs memory-aware force directed scheduling and multi-cycle memory partitioning is formally proposed to achieve legitimate pipelining kernel and valid bank mapping with less resource consumption and optimal pipelining performance. The experimental results over a variety of benchmarks show that our approach can achieve the optimal pipelining performance and meanwhile reduce the number of multiple independent memory banks by 55.1% on average, compared with the state-of-the-art approaches.\",\"PeriodicalId\":252039,\"journal\":{\"name\":\"Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays\",\"volume\":\"97 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-02-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3020078.3021778\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3020078.3021778","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Joint Modulo Scheduling and Memory Partitioning with Multi-Bank Memory for High-Level Synthesis (Abstract Only)
High-Level Synthesis (HLS) has been widely recognized and accepted as an efficient compilation process targeting FPGAs for algorithm evaluation and product prototyping. However, the massively parallel memory access demands and the extremely expensive cost of single-bank memory with multi-port have impeded loop pipelining performance. Thus, based on an alternative multi-bank memory architecture, a joint approach that employs memory-aware force directed scheduling and multi-cycle memory partitioning is formally proposed to achieve legitimate pipelining kernel and valid bank mapping with less resource consumption and optimal pipelining performance. The experimental results over a variety of benchmarks show that our approach can achieve the optimal pipelining performance and meanwhile reduce the number of multiple independent memory banks by 55.1% on average, compared with the state-of-the-art approaches.