Pub Date : 2022-02-09DOI: 10.2200/s011157ed1v01y202201cac058
V. Gogte, Aasheesh Kolli, T. Wenisch
{"title":"A Primer on Memory Persistency","authors":"V. Gogte, Aasheesh Kolli, T. Wenisch","doi":"10.2200/s011157ed1v01y202201cac058","DOIUrl":"https://doi.org/10.2200/s011157ed1v01y202201cac058","url":null,"abstract":"","PeriodicalId":22115,"journal":{"name":"Synthesis Lectures on Computer Architecture","volume":"354 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82608245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-11DOI: 10.2200/s01109ed1v01y202106cac057
Daichi Fujiki, Xiaowei Wang, Arun K. Subramaniyan, R. Das
Abstract This book provides a structured introduction of the key concepts and techniques that enable in-/near-memory computing. For decades, processing-in-memory or near-memory computing has been a...
{"title":"In-/Near-Memory Computing","authors":"Daichi Fujiki, Xiaowei Wang, Arun K. Subramaniyan, R. Das","doi":"10.2200/s01109ed1v01y202106cac057","DOIUrl":"https://doi.org/10.2200/s01109ed1v01y202106cac057","url":null,"abstract":"Abstract This book provides a structured introduction of the key concepts and techniques that enable in-/near-memory computing. For decades, processing-in-memory or near-memory computing has been a...","PeriodicalId":22115,"journal":{"name":"Synthesis Lectures on Computer Architecture","volume":"20 1","pages":"1-140"},"PeriodicalIF":0.0,"publicationDate":"2021-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76487090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-29DOI: 10.2200/s01101ed1v01y202105cac056
Shaoshan Liu, Zishen Wan, Bo Yu, Yu Wang
Abstract This book provides a thorough overview of the state-of-the-art field-programmable gate array (FPGA)-based robotic computing accelerator designs and summarizes their adopted optimized techn...
本书全面概述了基于现场可编程门阵列(FPGA)的机器人计算加速器设计，并总结了它们采用的优化技术。
{"title":"Robotic Computing on FPGAs","authors":"Shaoshan Liu, Zishen Wan, Bo Yu, Yu Wang","doi":"10.2200/s01101ed1v01y202105cac056","DOIUrl":"https://doi.org/10.2200/s01101ed1v01y202105cac056","url":null,"abstract":"Abstract This book provides a thorough overview of the state-of-the-art field-programmable gate array (FPGA)-based robotic computing accelerator designs and summarizes their adopted optimized techn...","PeriodicalId":22115,"journal":{"name":"Synthesis Lectures on Computer Architecture","volume":"293 1","pages":"1-218"},"PeriodicalIF":0.0,"publicationDate":"2021-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78508479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-06DOI: 10.2200/s01052ed1v01y202009cac055
Lizhong Chen, Drew Penney, Daniel A. Jiménez
Abstract Artificial intelligence has already enabled pivotal advances in diverse fields, yet its impact on computer architecture has only just begun. In particular, recent work has explored broader...
{"title":"AI for Computer Architecture: Principles, Practice, and Prospects","authors":"Lizhong Chen, Drew Penney, Daniel A. Jiménez","doi":"10.2200/s01052ed1v01y202009cac055","DOIUrl":"https://doi.org/10.2200/s01052ed1v01y202009cac055","url":null,"abstract":"Abstract Artificial intelligence has already enabled pivotal advances in diverse fields, yet its impact on computer architecture has only just begun. In particular, recent work has explored broader...","PeriodicalId":22115,"journal":{"name":"Synthesis Lectures on Computer Architecture","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79213614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-14DOI: 10.2200/s01046ed1v01y202009cac053
Andres Rodriguez
Abstract This book describes deep learning systems: the algorithms, compilers, and processor components to efficiently train and deploy deep learning models for commercial applications. The exponen...
{"title":"Deep Learning Systems: Algorithms, Compilers, and Processors for Large-Scale Production","authors":"Andres Rodriguez","doi":"10.2200/s01046ed1v01y202009cac053","DOIUrl":"https://doi.org/10.2200/s01046ed1v01y202009cac053","url":null,"abstract":"Abstract This book describes deep learning systems: the algorithms, compilers, and processor components to efficiently train and deploy deep learning models for commercial applications. The exponen...","PeriodicalId":22115,"journal":{"name":"Synthesis Lectures on Computer Architecture","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83079015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-14DOI: 10.2200/s01049ed1v01y202009cac054
R. Kuhn, D. Padua
Abstract This historical survey of parallel processing from 1980 to 2020 is a follow-up to the authors’ 1981 Tutorial on Parallel Processing, which covered the state of the art in hardware, program...
本文是作者1981年《并行处理教程》(Tutorial on parallel processing)的后续，介绍了1980年至2020年并行处理的历史概况。
{"title":"Parallel Processing, 1980 to 2020","authors":"R. Kuhn, D. Padua","doi":"10.2200/s01049ed1v01y202009cac054","DOIUrl":"https://doi.org/10.2200/s01049ed1v01y202009cac054","url":null,"abstract":"Abstract This historical survey of parallel processing from 1980 to 2020 is a follow-up to the authors’ 1981 Tutorial on Parallel Processing, which covered the state of the art in hardware, program...","PeriodicalId":22115,"journal":{"name":"Synthesis Lectures on Computer Architecture","volume":"40 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75827156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-18DOI: 10.2200/s01015ed1v01y202005cac052
T. Krishna, Hyoukjun Kwon, A. Parashar, Michael Pellauer, A. Samajdar
Abstract This Synthesis Lecture focuses on techniques for efficient data orchestration within DNN accelerators. The End of Moore's Law, coupled with the increasing growth in deep learning and other...
本综合讲座的重点是DNN加速器中有效的数据编排技术。摩尔定律的终结，再加上深度学习和其他…
{"title":"Data Orchestration in Deep Learning Accelerators","authors":"T. Krishna, Hyoukjun Kwon, A. Parashar, Michael Pellauer, A. Samajdar","doi":"10.2200/s01015ed1v01y202005cac052","DOIUrl":"https://doi.org/10.2200/s01015ed1v01y202005cac052","url":null,"abstract":"Abstract This Synthesis Lecture focuses on techniques for efficient data orchestration within DNN accelerators. The End of Moore's Law, coupled with the increasing growth in deep learning and other...","PeriodicalId":22115,"journal":{"name":"Synthesis Lectures on Computer Architecture","volume":"9 1","pages":"1-164"},"PeriodicalIF":0.0,"publicationDate":"2020-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78526012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-16DOI: 10.2200/s01014ed1v01y202005cac051
Yongshan Ding, F. Chong
Abstract This book targets computer scientists and engineers who are familiar with concepts in classical computer systems but are curious to learn the general architecture of quantum computing syst...
{"title":"Quantum Computer Systems: Research for Noisy Intermediate-Scale Quantum Computers","authors":"Yongshan Ding, F. Chong","doi":"10.2200/s01014ed1v01y202005cac051","DOIUrl":"https://doi.org/10.2200/s01014ed1v01y202005cac051","url":null,"abstract":"Abstract This book targets computer scientists and engineers who are familiar with concepts in classical computer systems but are curious to learn the general architecture of quantum computing syst...","PeriodicalId":22115,"journal":{"name":"Synthesis Lectures on Computer Architecture","volume":"170 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75976395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-16DOI: 10.2200/s01004ed1v01y202004cac050
V. Sze, Yu-hsin Chen, Tien-Ju Yang, J. Emer
Abstract This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs). DNNs are currently widely used for many art...
{"title":"Efficient Processing of Deep Neural Networks","authors":"V. Sze, Yu-hsin Chen, Tien-Ju Yang, J. Emer","doi":"10.2200/s01004ed1v01y202004cac050","DOIUrl":"https://doi.org/10.2200/s01004ed1v01y202004cac050","url":null,"abstract":"Abstract This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs). DNNs are currently widely used for many art...","PeriodicalId":22115,"journal":{"name":"Synthesis Lectures on Computer Architecture","volume":"81 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73601619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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