Matheus A. Cavalcante, Andreas Kurth, Fabian Schuiki, L. Benini
{"title":"Design of an open-source bridge between non-coherent burst-based and coherent cache-line-based memory systems","authors":"Matheus A. Cavalcante, Andreas Kurth, Fabian Schuiki, L. Benini","doi":"10.1145/3387902.3392631","DOIUrl":null,"url":null,"abstract":"In heterogeneous computer architectures, the serial part of an application is coupled with domain-specific accelerators that promise high computing throughput and efficiency across a wide range of applications. In such systems, the serial part of a program is executed on a Central Processing Unit (CPU) core optimized for single-thread performance, while parallel sections are offloaded to Programmable Manycore Accelerators (PMCAs). This heterogeneity requires CPU cores and PMCAs to share data in memory efficiently, although CPUs rely on a coherent memory system where data is transferred in cache lines, while PMCAs are based on non-coherent scratchpad memories where data is transferred in bursts by DMA engines. In this paper, we tackle the challenges and hardware complexity of bridging the gap from a non-coherent, burst-based memory hierarchy to a coherent, cache-line-based one. We design and implement an open-source hardware module that reaches 97% peak throughput over a wide range of realistic linear algebra kernels and is suited for a wide spectrum of memory architectures. Implemented in a state-of-the-art 22 nm FD-SOI technology, our module bridges up to 650 Gbps at 130 fJ/bit and has a complexity of less than 1 kGE/Gbps.","PeriodicalId":155089,"journal":{"name":"Proceedings of the 17th ACM International Conference on Computing Frontiers","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 17th ACM International Conference on Computing Frontiers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3387902.3392631","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
In heterogeneous computer architectures, the serial part of an application is coupled with domain-specific accelerators that promise high computing throughput and efficiency across a wide range of applications. In such systems, the serial part of a program is executed on a Central Processing Unit (CPU) core optimized for single-thread performance, while parallel sections are offloaded to Programmable Manycore Accelerators (PMCAs). This heterogeneity requires CPU cores and PMCAs to share data in memory efficiently, although CPUs rely on a coherent memory system where data is transferred in cache lines, while PMCAs are based on non-coherent scratchpad memories where data is transferred in bursts by DMA engines. In this paper, we tackle the challenges and hardware complexity of bridging the gap from a non-coherent, burst-based memory hierarchy to a coherent, cache-line-based one. We design and implement an open-source hardware module that reaches 97% peak throughput over a wide range of realistic linear algebra kernels and is suited for a wide spectrum of memory architectures. Implemented in a state-of-the-art 22 nm FD-SOI technology, our module bridges up to 650 Gbps at 130 fJ/bit and has a complexity of less than 1 kGE/Gbps.