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內(nèi)容簡介

CUDA是設(shè)計用于幫助開發(fā)并行程序的計算體系結(jié)構(gòu)。通過與廣泛的軟件平臺相結(jié)合，cuda體系結(jié)構(gòu)使程序員可以充分利用圖形處理單元(gpu)的強大能力構(gòu)建高性能的應(yīng)用程序。當然，gpu已經(jīng)在很長時間內(nèi)用于實現(xiàn)復(fù)雜的圖形和游戲應(yīng)用程序。現(xiàn)在，cuda將這種具有價值的資源帶給在其他領(lǐng)域內(nèi)從事應(yīng)用程序開發(fā)的程序員，包括科學(xué)、工程和財務(wù)領(lǐng)域。這些程序員不需要了解圖形編程的相關(guān)知識，而只要能夠采用適當擴展的c語言版本進行編程即可。

本書由cuda軟件平臺團隊中的兩位博學(xué)成員編寫而成，他們向程序員展示了如何使用這種新的技術(shù)，并且通過大量可以運行的示例介紹了cuda開發(fā)的每個領(lǐng)域。在簡要介紹cuda平臺和體系結(jié)構(gòu)以及快速指導(dǎo)cudac之后，本書詳細介紹了與每個關(guān)鍵的cuda功能相關(guān)的技術(shù)，以及如何權(quán)衡使用這些功能。通過閱讀本書，您將掌握使用每個cudac擴展的時機以及編寫性能極為優(yōu)越的cuda軟件的方式。

編輯推薦

CUDA范例精解:通用GPU編程(影印版)》由清華大學(xué)出版社出版。

作者簡介

山德爾(Jason Sanders)是NVIDIA公司CUDA平臺團隊中的博學(xué)軟件工程師，他協(xié)助開發(fā)了早期版本的CUDA系統(tǒng)軟件，并且?guī)椭贫俗鳛楫悩?gòu)計算的行業(yè)標準的OpenCL 1.0規(guī)范。Jason也在ATI Technologies、Apple和Novell擔(dān)任相關(guān)職務(wù)。康洛特(Edward Kandrot)是NVIDIA公司CU

在線預(yù)覽

In recent years, however, manufacturers have been forced to l,ook for al,terna-tives to this traditional, source of increased computational, power. Because ofvarious fundamental- l,imitations in the fabrication of integrated circuits, it is nol-onger feasibl.e to rel.y on upward-spiral,ing processor cl,ock speeds as a meansfor extracting additional power from existing architectures. Because of power andheat restrictions as wel,l, as a rapidl,y approaching physical- l,imit to transistor size,researchers and manufacturers have begun to l,ook el.sewhere.Outside the woHd of consumer computing, supercomputers have for decadesextracted massive performance gains in simil,ar ways. The performance of aprocessor used in a supercomputer has cl,imbed astronomical,l,y, simil.ar to theimprovements in the personal- computer CPU. However, in addition to dramaticimprovements in the performance of a singl,e processor, supercomputer manu-facturers have al,so extracted massive leaps in performance by steadily increasingthe number of processors. It is not uncommon for the fastest supercomputers tohave tens or hundreds of thousands of processor cores working in tandem.In the search for additional, processing power for personat computers, theimprovement in supercomputers raises a very good question: Rather than sol,el,yl,ooking to increase the performance of a single processing core, why not putmore than one in a personal- computer？ In this way, personal- computers coul,dcontinue to improve in performance without the need for continuing increases inprocessor clock speed.