Yan Liao, Huaqiang Wu, W. Wan, Wenqiang Zhang, B. Gao, H. Philip Wong, H. Qian
{"title":"基于阻性交叉点阵列的新型内存矩阵-矩阵乘法","authors":"Yan Liao, Huaqiang Wu, W. Wan, Wenqiang Zhang, B. Gao, H. Philip Wong, H. Qian","doi":"10.1109/VLSIT.2018.8510634","DOIUrl":null,"url":null,"abstract":"Resistive cross-point array can be used to implement vector-matrix multiplication in analog fashion. However, the output is in the form of analog current, and thus requires A/D conversion prior to digital storage. This paper develops and demonstrates a novel in-memory matrix-matrix multiplication method (M2M) that can compute and store the result directly inside the memory itself without requiring A/D conversion. Compared with the conventional approach, M2M provides >10 × improvement in energy and area efficiency, and another 2 orders improvement when matrices are low-rank and sparse.","PeriodicalId":6561,"journal":{"name":"2018 IEEE Symposium on VLSI Technology","volume":"41 1","pages":"31-32"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Novel In-Memory Matrix-Matrix Multiplication with Resistive Cross-Point Arrays\",\"authors\":\"Yan Liao, Huaqiang Wu, W. Wan, Wenqiang Zhang, B. Gao, H. Philip Wong, H. Qian\",\"doi\":\"10.1109/VLSIT.2018.8510634\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Resistive cross-point array can be used to implement vector-matrix multiplication in analog fashion. However, the output is in the form of analog current, and thus requires A/D conversion prior to digital storage. This paper develops and demonstrates a novel in-memory matrix-matrix multiplication method (M2M) that can compute and store the result directly inside the memory itself without requiring A/D conversion. Compared with the conventional approach, M2M provides >10 × improvement in energy and area efficiency, and another 2 orders improvement when matrices are low-rank and sparse.\",\"PeriodicalId\":6561,\"journal\":{\"name\":\"2018 IEEE Symposium on VLSI Technology\",\"volume\":\"41 1\",\"pages\":\"31-32\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE Symposium on VLSI Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VLSIT.2018.8510634\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Symposium on VLSI Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VLSIT.2018.8510634","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Novel In-Memory Matrix-Matrix Multiplication with Resistive Cross-Point Arrays
Resistive cross-point array can be used to implement vector-matrix multiplication in analog fashion. However, the output is in the form of analog current, and thus requires A/D conversion prior to digital storage. This paper develops and demonstrates a novel in-memory matrix-matrix multiplication method (M2M) that can compute and store the result directly inside the memory itself without requiring A/D conversion. Compared with the conventional approach, M2M provides >10 × improvement in energy and area efficiency, and another 2 orders improvement when matrices are low-rank and sparse.