{"title":"Zynq-7000片上系统的多项式矩阵乘法加速","authors":"Server Kasap, Soydan Redif, E. Wächter","doi":"10.1109/SOCC46988.2019.1570555424","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a second-generation hardware solution which boasts more versatility, efficiency and scalability compared to our previous design. This is achieved through the design of a highly versatile PMM accelerator which supports polynomial matrices of any size, as a component of the embedded system developed within the Xilinx Zynq-7000 AP SoC. Experimental results demonstrate the efficiency and effectiveness of our novel SoC-based PMM accelerator in the context of a generic problem, where a maximum speed-up of $\\approx 67\\times$ is accomplished, without compromising the accuracy.","PeriodicalId":253998,"journal":{"name":"2019 32nd IEEE International System-on-Chip Conference (SOCC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Acceleration of Polynomial Matrix Multiplication on Zynq-7000 System-on-Chip\",\"authors\":\"Server Kasap, Soydan Redif, E. Wächter\",\"doi\":\"10.1109/SOCC46988.2019.1570555424\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a second-generation hardware solution which boasts more versatility, efficiency and scalability compared to our previous design. This is achieved through the design of a highly versatile PMM accelerator which supports polynomial matrices of any size, as a component of the embedded system developed within the Xilinx Zynq-7000 AP SoC. Experimental results demonstrate the efficiency and effectiveness of our novel SoC-based PMM accelerator in the context of a generic problem, where a maximum speed-up of $\\\\approx 67\\\\times$ is accomplished, without compromising the accuracy.\",\"PeriodicalId\":253998,\"journal\":{\"name\":\"2019 32nd IEEE International System-on-Chip Conference (SOCC)\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 32nd IEEE International System-on-Chip Conference (SOCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SOCC46988.2019.1570555424\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 32nd IEEE International System-on-Chip Conference (SOCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOCC46988.2019.1570555424","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
在本文中,我们提出了一种第二代硬件解决方案,与以前的设计相比,它具有更强的通用性、效率和可扩展性。这是通过设计一个高度通用的PMM加速器来实现的,该加速器支持任何大小的多项式矩阵,作为Xilinx Zynq-7000 AP SoC内开发的嵌入式系统的一个组件。实验结果证明了我们的新型基于soc的PMM加速器在一般问题中的效率和有效性,在不影响精度的情况下,实现了大约67倍的最大加速。
Acceleration of Polynomial Matrix Multiplication on Zynq-7000 System-on-Chip
In this paper, we propose a second-generation hardware solution which boasts more versatility, efficiency and scalability compared to our previous design. This is achieved through the design of a highly versatile PMM accelerator which supports polynomial matrices of any size, as a component of the embedded system developed within the Xilinx Zynq-7000 AP SoC. Experimental results demonstrate the efficiency and effectiveness of our novel SoC-based PMM accelerator in the context of a generic problem, where a maximum speed-up of $\approx 67\times$ is accomplished, without compromising the accuracy.