 |
 |
 |
 |
 |
 |
||
 |
 |
 |
 |
 |
| 1 | 1/1 | 返回列表 |
| 查看: 553 | 回復: 0 | ||
[資源]
【分享】High Performance Heterogeneous Computing.Wiley.2009[New]
|
|
High Performance Heterogeneous Computing 免責聲明 本資源來自于互聯(lián)網(wǎng)，僅供網(wǎng)絡測試之用，請務必在下載后24小時內(nèi)刪除！所有資源不涉及任何商業(yè)用途。發(fā)帖人不承擔由下載使用者引發(fā)的一切法律責任及連帶責任！ 著作權(quán)歸原作者或出版社所有。未經(jīng)發(fā)貼人conanwj許可，嚴禁任何人以任何形式轉(zhuǎn)貼本文，違者必究！ 如果本帖侵犯您的著作權(quán)，請與conanwj聯(lián)系，收到通知后我們將立即刪除此帖！ Authors(Editors): Alexey L. Lastovetsky University College Dublin Jack J. Dongarra University of Tennessee Publisher: Wiley Pub Date: 2009 Pages: 267 ISBN: 978-0-470-04039-3 Preface In recent years, the evolution and growth of the techniques and platforms commonly used for high - performance computing (HPC) in the context of different application domains have been truly astonishing. While parallel computing systems have now achieved certain maturity, thanks to high - level libraries (such as ScaLAPACK, the scalable linear algebra package ) or runtime libraries (such as MPI, the message passing interface ), recent advances in these technologies pose several challenging research issues. Indeed, current HPC - oriented environments are extremely complex and very diffi cult to manage, particularly for extreme - scale application problems. At the very low level, latest - generation CPUs are made of multicore processors that can be general purpose or highly specialized in nature. On the other hand, several processors can be assembled into a so - called symmetrical multiprocessor (SMP), which can also have access to powerful specialized processors, namely graphics processing units (GPUs), which are now increasingly being used for programmable computing resulting from their advent in the video game industry, which signifi cantly reduced their cost and availability. Modern HPC - oriented parallel computers are typically composed of several SMP nodes interconnected by a network. This kind of infrastructure is hierarchical and represents a fi rst class of heterogeneous system in which the communication time between two processing units is different, depending on whether the units are on the same chip, on the same node, or not. Moreover, current hardware trends anticipate a further increase in the number of cores (in a hierarchical way) inside the chip, thus increasing the overall heterogeneity even more toward building extreme - scale systems. At a higher level, the emergence of heterogeneous computing now allows groups of users to benefi t from networks of processors that are already available in their research laboratories. This is a second type of infrastructure where both the network and the processing units are heterogeneous in nature. Specifi cally, the goal here is to deal with networks that interconnect a large number of heterogeneous computers that can signifi cantly differ from one another in terms of their hardware and software architecture, including different types of CPUs operating at different clock speeds and under different design paradigms, and with different memory sizes, caching strategies, and operating systems. At the high end, computers are increasingly interconnected together throughout wide area networks to form large - scale distributed systems with high computing capacity. Furthermore, computers located in different laboratories can collaborate in the solution of a common problem. Therefore, the current trends of HPC are clearly oriented toward extreme - scale, complex infrastructures with a great deal of intrinsic heterogeneity and many different hierarchical levels. It is important to note that all the heterogeneity levels mentioned above are tightly linked. First, some of the nodes in computational distributed environments may be multicore SMP clusters. Second, multicore chips will soon be fully heterogeneous with special - purpose cores (e.g., multimedia, recognition, networking), and not only GPUs, mixed with general - purpose ones. Third, these different levels share many common problems such as effi cient programming, scalability, and latency management. The extreme scale of these environments comes from every level: (a) low level: number of CPUs, number of cores per processor; (b) medium level: number of nodes (e.g., with memory); (c) high level: distributed/large - scale (geographical dispersion, latency, etc.); and (d) application: extreme - scale problem size (e.g., calculation intensive and/or data intensive). It is realistic to expect that large - scale infrastructures composed of dozens of sites, each composed of several heterogeneous computers, some having thousands of more than 16 - core processors, will be available for scientists and engineers. Therefore, the knowledge on how to effi ciently use, program, and scale applications on such future infrastructures is very important. While this area is wide open for research and development, it will be unfair to say that it has not been studied yet. In fact, some fundamental models and algorithms for these platforms have been proposed and analyzed. First programming tools and applications have been also designed and implemented. This book gives the state of the art in the fi eld. It analyzes the main challenges of high - performance heterogeneous computing and presents how these challenges have been addressed so far. The ongoing academic research, development, and uses of heterogeneous parallel and distributed computing are placed in the context of scientifi c computing. While the book is primarily a reference for researchers and developers involved in scientifi c computing on heterogeneous platforms, it can also serve as a textbook for an advanced university course on high - performance heterogeneous computing. Alexey L. Lastovetsky Jack J. Dongarra 本資源鏈接售價0分，共6個可選網(wǎng)絡硬盤鏈接，1.94 MB，保質(zhì)期2010-08-31。 -------------------------------------------------------------------------------------------------------- https://www.easy-share.com/1910144017/High Performance Heterogeneous Computing.Wiley.p267.2009.rar https://rapidshare.com/files/384 ... Wiley.p267.2009.rar https://uploading.com/files/b988 ... iley.p267.2009.rar/ https://www.sendspace.com/file/w8oa3b https://depositfiles.com/files/l3ekv1c50 https://www.divshare.com/download/11322682-c7b -------------------------------------------------------------------------------------------------------- |
回復此樓» 猜你喜歡
284求調(diào)劑
已經(jīng)有10人回復
-
一志愿山東大學藥學學碩求調(diào)劑
已經(jīng)有4人回復
-
07化學280分求調(diào)劑
已經(jīng)有4人回復
-
298-一志愿中國農(nóng)業(yè)大學-求調(diào)劑
已經(jīng)有12人回復
-
求材料，環(huán)境專業(yè)調(diào)劑
已經(jīng)有3人回復
-
335求調(diào)劑
已經(jīng)有5人回復
-
求調(diào)劑
已經(jīng)有7人回復
-
一志愿吉大化學322求調(diào)劑
已經(jīng)有4人回復
-
環(huán)境學碩288求調(diào)劑
已經(jīng)有8人回復
-
341求調(diào)劑(一志愿湖南大學070300)
已經(jīng)有6人回復
找到一些相關的精華帖子，希望有用哦~
2012年給力第七帖--Applications of High-Tc Superconductivity
已經(jīng)有20人回復
- High Performance Non-Oxide Ceramics
已經(jīng)有101人回復
- 【分享High Performance AC Drives: Modelling Analysis and Control已搜索無重復
已經(jīng)有7人回復
- fluid phase equilibria 投稿時的highlights是什么？
已經(jīng)有4人回復
- 【Discussion】Do we have to have a high score in CET-6 ?
已經(jīng)有21人回復
- 【zhou2009個人文集】一些關于電子密度ρ的基本想法
已經(jīng)有12人回復
- 【分享】2009年環(huán)評師考試-《環(huán)境影響評價案例分析》科目考試試題
已經(jīng)有14人回復
點擊這里搜索更多相關資源科研從小木蟲開始，人人為我，我為人人
相關版塊跳轉(zhuǎn)
我要訂閱樓主 conanwj 的主題更新
| 1 | 1/1 | 返回列表 |
| 最具人氣熱帖推薦 [查看全部] | 作者 | 回/看 | 最后發(fā)表 | |
|---|---|---|---|---|
|
[考研]
0854 考研調(diào)劑 招生了！AI 方向
+4
|
pk3725069 2026-03-19 | 16/800 |
|
|---|---|---|---|---|
|
|
[考研] 材料/農(nóng)業(yè)專業(yè)，07/08開頭均可，過線就行 +3 | 呵唔哦豁 2026-03-23 | 4/200 |
|
|
[考研] 361求調(diào)劑 +3 | Glack 2026-03-22 | 3/150 |
|
|
|
[考研] 一志愿南航材料專317分求調(diào)劑 +3 | 炸呀炸呀炸薯條 2026-03-23 | 3/150 |
|
|
|
[考研] 生物學一志愿985，分數(shù)349求調(diào)劑 +6 | zxts12 2026-03-21 | 9/450 |
|
|
|
[考研] 336化工調(diào)劑 +4 | 王大坦1 2026-03-23 | 5/250 |
|
|
|
[考研] 293求調(diào)劑 +3 | 濤濤Wjt 2026-03-22 | 5/250 |
|
|
|
[考研] 材料與化工085600，總分304，本科有兩篇sci參與，求調(diào)劑 +4 | 幸運的醬醬 2026-03-22 | 5/250 |
|
|
|
[考研] 求調(diào)劑一志愿海大，0703化學學碩304分，有大創(chuàng)項目，四級已過 +6 | 幸運哩哩 2026-03-22 | 10/500 |
|
|
|
[考研] 298求調(diào)劑一志愿211 +3 | 上岸6666@ 2026-03-20 | 3/150 |
|
|
|
[考研] 278求調(diào)劑 +9 | 煙火先于春 2026-03-17 | 9/450 |
|
|
|
[考研] 一志愿天津大學化學工藝專業(yè)（081702）315分求調(diào)劑 +12 | yangfz 2026-03-17 | 12/600 |
|
|
|
[考研] 303求調(diào)劑 +5 | 睿08 2026-03-17 | 7/350 |
|
|
|
[考研] 材料工程（專）一志愿985 初試335求調(diào)劑 +3 | hiloiy 2026-03-17 | 4/200 |
|
|
|
[考研] 299求調(diào)劑 +6 | △小透明* 2026-03-17 | 6/300 |
|
|
|
[考研] 274求調(diào)劑 +10 | S.H1 2026-03-18 | 10/500 |
|
|
|
[考研] 一志愿南昌大學，327分，材料與化工085600 +9 | Ncdx123456 2026-03-19 | 9/450 |
|
|
|
[考研] 317求調(diào)劑 +5 | 申子申申 2026-03-19 | 9/450 |
|
|
|
[考研] 一志愿蘇州大學材料求調(diào)劑，總分315（英一） +5 | sbdksD 2026-03-19 | 5/250 |
|
|
|
[考研] 353求調(diào)劑 +3 | 拉鉤不許變 2026-03-20 | 3/150 |
|