{"title":"存储技术及应用","authors":"Allen Rush","doi":"10.1109/HOTCHIPS.2016.7936173","DOIUrl":null,"url":null,"abstract":"◢ Factors driving advanced memory designs - Applications requiring real time video, VR, advanced graphics ◢ Increased CPU/GPU performance - Need for balancing BW, capacity - HBM solutions ◢ Emerging applications with unique memory requirements - ML - training and inference ◢ Novel solutions for PE-Mem structures ◢ Big Data - More data upload - Cloud DL: massive parameter and training data sets","PeriodicalId":363333,"journal":{"name":"2016 IEEE Hot Chips 28 Symposium (HCS)","volume":"307 7","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Memory technology and applications\",\"authors\":\"Allen Rush\",\"doi\":\"10.1109/HOTCHIPS.2016.7936173\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"◢ Factors driving advanced memory designs - Applications requiring real time video, VR, advanced graphics ◢ Increased CPU/GPU performance - Need for balancing BW, capacity - HBM solutions ◢ Emerging applications with unique memory requirements - ML - training and inference ◢ Novel solutions for PE-Mem structures ◢ Big Data - More data upload - Cloud DL: massive parameter and training data sets\",\"PeriodicalId\":363333,\"journal\":{\"name\":\"2016 IEEE Hot Chips 28 Symposium (HCS)\",\"volume\":\"307 7\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE Hot Chips 28 Symposium (HCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HOTCHIPS.2016.7936173\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Hot Chips 28 Symposium (HCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HOTCHIPS.2016.7936173","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
◢驱动先进内存设计的因素-需要实时视频,VR,高级图形的应用程序◢提高CPU/GPU性能-需要平衡BW,容量- HBM解决方案◢具有独特内存需求的新兴应用程序- ML -训练和推理◢PE-Mem结构的新颖解决方案◢大数据-更多数据上传-云DL:大量参数和训练数据集
◢ Factors driving advanced memory designs - Applications requiring real time video, VR, advanced graphics ◢ Increased CPU/GPU performance - Need for balancing BW, capacity - HBM solutions ◢ Emerging applications with unique memory requirements - ML - training and inference ◢ Novel solutions for PE-Mem structures ◢ Big Data - More data upload - Cloud DL: massive parameter and training data sets