{"title":"评价三维堆叠可重构纳米光子互连的可扩展性和性能","authors":"R. Morris, Avinash Karanth Kodi, A. Louri","doi":"10.1109/SLIP.2013.6681676","DOIUrl":null,"url":null,"abstract":"As we integrate hundreds of cores in the future, energy-efficiency and scalability of Network-on-Chips (NoCs) has become a critical challenge. In order to achieve higher performance-per-Watt than traditional metallic interconnects, researchers are exploring alternate energy-effident emerging technology solutions. In this paper, we propose to combine two emerging technologies, namely 3D stacking and nanophotonics that can deliver high on-chip bandwidth and low energy/bit to achieve a high-throughput, reconfigurable and scalable NoC for many-core systems. Our simulation results indicate that the execution time can be reduced up to 25% and energy consumption reduced by 23% for Splash-2, PARSEC, SPEC CPU2006 and synthetic benchmarks for 64-core and 256-core versions.","PeriodicalId":385305,"journal":{"name":"2013 ACM/IEEE International Workshop on System Level Interconnect Prediction (SLIP)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluating the scalability and performance of 3D stacked reconfigurable nanophotonic interconnects\",\"authors\":\"R. Morris, Avinash Karanth Kodi, A. Louri\",\"doi\":\"10.1109/SLIP.2013.6681676\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As we integrate hundreds of cores in the future, energy-efficiency and scalability of Network-on-Chips (NoCs) has become a critical challenge. In order to achieve higher performance-per-Watt than traditional metallic interconnects, researchers are exploring alternate energy-effident emerging technology solutions. In this paper, we propose to combine two emerging technologies, namely 3D stacking and nanophotonics that can deliver high on-chip bandwidth and low energy/bit to achieve a high-throughput, reconfigurable and scalable NoC for many-core systems. Our simulation results indicate that the execution time can be reduced up to 25% and energy consumption reduced by 23% for Splash-2, PARSEC, SPEC CPU2006 and synthetic benchmarks for 64-core and 256-core versions.\",\"PeriodicalId\":385305,\"journal\":{\"name\":\"2013 ACM/IEEE International Workshop on System Level Interconnect Prediction (SLIP)\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-06-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 ACM/IEEE International Workshop on System Level Interconnect Prediction (SLIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SLIP.2013.6681676\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 ACM/IEEE International Workshop on System Level Interconnect Prediction (SLIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SLIP.2013.6681676","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluating the scalability and performance of 3D stacked reconfigurable nanophotonic interconnects
As we integrate hundreds of cores in the future, energy-efficiency and scalability of Network-on-Chips (NoCs) has become a critical challenge. In order to achieve higher performance-per-Watt than traditional metallic interconnects, researchers are exploring alternate energy-effident emerging technology solutions. In this paper, we propose to combine two emerging technologies, namely 3D stacking and nanophotonics that can deliver high on-chip bandwidth and low energy/bit to achieve a high-throughput, reconfigurable and scalable NoC for many-core systems. Our simulation results indicate that the execution time can be reduced up to 25% and energy consumption reduced by 23% for Splash-2, PARSEC, SPEC CPU2006 and synthetic benchmarks for 64-core and 256-core versions.