Tassadaq Hussain, Nehir Sönmez, Oscar Palomar, O. Unsal, A. Cristal, E. Ayguadé, M. Valero, Shakaib A. Gursal
{"title":"用于嵌入式系统的模式感知存储器系统","authors":"Tassadaq Hussain, Nehir Sönmez, Oscar Palomar, O. Unsal, A. Cristal, E. Ayguadé, M. Valero, Shakaib A. Gursal","doi":"10.1109/ReConFig.2014.7032544","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a hardware mechanism for embedded multi-core memory system called Pattern Aware Memory System (PAMS). The PAMS supports static and dynamic data structures using descriptors and specialized memory and reduces area, cost, energy consumption and hit latency. When compared with a Baseline Memory System, the PAMS consumes between 3 and 9 times and 1.13 and 2.66 times less program memory for static and dynamic data structures respectively. The benchmarking applications (having static and dynamic data structures) results show that PAMS consumes 20% less hardware resources, 32% less on chip power and achieves a maximum speedup of 52× and 2.9× for static and dynamic data structures respectively. The results show that the PAMS multi-core system transfers data structures up to 4.65× faster than the MicroBlaze baseline system.","PeriodicalId":137331,"journal":{"name":"2014 International Conference on ReConFigurable Computing and FPGAs (ReConFig14)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"PAMS: Pattern Aware Memory System for embedded systems\",\"authors\":\"Tassadaq Hussain, Nehir Sönmez, Oscar Palomar, O. Unsal, A. Cristal, E. Ayguadé, M. Valero, Shakaib A. Gursal\",\"doi\":\"10.1109/ReConFig.2014.7032544\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a hardware mechanism for embedded multi-core memory system called Pattern Aware Memory System (PAMS). The PAMS supports static and dynamic data structures using descriptors and specialized memory and reduces area, cost, energy consumption and hit latency. When compared with a Baseline Memory System, the PAMS consumes between 3 and 9 times and 1.13 and 2.66 times less program memory for static and dynamic data structures respectively. The benchmarking applications (having static and dynamic data structures) results show that PAMS consumes 20% less hardware resources, 32% less on chip power and achieves a maximum speedup of 52× and 2.9× for static and dynamic data structures respectively. The results show that the PAMS multi-core system transfers data structures up to 4.65× faster than the MicroBlaze baseline system.\",\"PeriodicalId\":137331,\"journal\":{\"name\":\"2014 International Conference on ReConFigurable Computing and FPGAs (ReConFig14)\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on ReConFigurable Computing and FPGAs (ReConFig14)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ReConFig.2014.7032544\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on ReConFigurable Computing and FPGAs (ReConFig14)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ReConFig.2014.7032544","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
PAMS: Pattern Aware Memory System for embedded systems
In this paper, we propose a hardware mechanism for embedded multi-core memory system called Pattern Aware Memory System (PAMS). The PAMS supports static and dynamic data structures using descriptors and specialized memory and reduces area, cost, energy consumption and hit latency. When compared with a Baseline Memory System, the PAMS consumes between 3 and 9 times and 1.13 and 2.66 times less program memory for static and dynamic data structures respectively. The benchmarking applications (having static and dynamic data structures) results show that PAMS consumes 20% less hardware resources, 32% less on chip power and achieves a maximum speedup of 52× and 2.9× for static and dynamic data structures respectively. The results show that the PAMS multi-core system transfers data structures up to 4.65× faster than the MicroBlaze baseline system.