001439116 000__ 03542cam\a2200553\i\4500 001439116 001__ 1439116 001439116 003__ OCoLC 001439116 005__ 20230309004412.0 001439116 006__ m\\\\\o\\d\\\\\\\\ 001439116 007__ cr\un\nnnunnun 001439116 008__ 210826s2021\\\\sz\a\\\\ob\\\\001\0\eng\d 001439116 019__ $$a1265464429 001439116 020__ $$a9783030768713$$q(electronic bk.) 001439116 020__ $$a3030768716$$q(electronic bk.) 001439116 020__ $$z9783030768706 001439116 020__ $$z3030768708 001439116 0247_ $$a10.1007/978-3-030-76871-3$$2doi 001439116 035__ $$aSP(OCoLC)1265084964 001439116 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCO$$dOCLCF$$dUKAHL$$dN$T$$dOCLCQ$$dCOM$$dOCLCO$$dOCLCQ 001439116 049__ $$aISEA 001439116 050_4 $$aQA76.9.A73$$bM35 2021 001439116 08204 $$a004.2/2$$223 001439116 1001_ $$aMakino, Junichiro,$$eauthor. 001439116 24510 $$aPrinciples of high-perfomance processor design :$$bfor high performance computing, deep neural networks and data science /$$cJunchiro Makino. 001439116 264_1 $$aCham :$$bSpringer,$$c[2021] 001439116 264_4 $$c©2021 001439116 300__ $$a1 online resource :$$billustrations (some color) 001439116 336__ $$atext$$btxt$$2rdacontent 001439116 337__ $$acomputer$$bc$$2rdamedia 001439116 338__ $$aonline resource$$bcr$$2rdacarrier 001439116 504__ $$aIncludes bibliographical references and index. 001439116 5050_ $$aIntroduction -- Traditional approaches and their limitations -- The lower limit of energy consumption -- Analysis of past and present processors -- "Near-optimal" designs -- Software -- Present, Past and Future. 001439116 506__ $$aAccess limited to authorized users. 001439116 520__ $$aThis book describes how we can design and make efficient processors for high-performance computing, AI, and data science. Although there are many textbooks on the design of processors we do not have a widely accepted definition of the efficiency of a general-purpose computer architecture. Without a definition of the efficiency, it is difficult to make scientific approach to the processor design. In this book, a clear definition of efficiency is given and thus a scientific approach for processor design is made possible. In chapter 2, the history of the development of high-performance processor is overviewed, to discuss what quantity we can use to measure the efficiency of these processors. The proposed quantity is the ratio between the minimum possible energy consumption and the actual energy consumption for a given application using a given semiconductor technology. In chapter 3, whether or not this quantity can be used in practice is discussed, for many real-world applications. In chapter 4, general-purpose processors in the past and present are discussed from this viewpoint. In chapter 5, how we can actually design processors with near-optimal efficiencies is described, and in chapter 6 how we can program such processors. This book gives a new way to look at the field of the design of high-performance processors. 001439116 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 31, 2021). 001439116 650_0 $$aComputer architecture. 001439116 650_0 $$aHigh performance computing. 001439116 650_0 $$aNeural networks (Computer science) 001439116 650_6 $$aOrdinateurs$$xArchitecture. 001439116 650_6 $$aSuperinformatique. 001439116 650_6 $$aRéseaux neuronaux (Informatique) 001439116 655_0 $$aElectronic books. 001439116 77608 $$iPrint version:$$z3030768708$$z9783030768706$$w(OCoLC)1247843086 001439116 852__ $$bebk 001439116 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-76871-3$$zOnline Access$$91397441.1 001439116 909CO $$ooai:library.usi.edu:1439116$$pGLOBAL_SET 001439116 980__ $$aBIB 001439116 980__ $$aEBOOK 001439116 982__ $$aEbook 001439116 983__ $$aOnline 001439116 994__ $$a92$$bISE