LEADER 00000cam a2200709 i 4500 
003    OCoLC 
005    20240129213017.0 
006    m     o  d         
007    cr |n||||||||| 
008    210910s2021    nyua    o     001 0 eng d 
015    GBC1C7299|2bnb 
016 7  020282411|2Uk 
019    1268279527|a1281715031 
020    9781638350385|q(electronic bk.) 
020    1638350388|q(electronic bk.) 
020    9781617296468|q(electronic bk.) 
020    1617296465|q(electronic bk.) 
024 8  9781617296468 
029 1  AU@|b000069849346 
035    (OCoLC)1280072858|z(OCoLC)1268279527|z(OCoLC)1281715031 
037    10280437|bIEEE 
040    YDX|beng|erda|epn|cYDX|dVT2|dOCLCO|dOCLCQ|dAU@|dOCLCO
       |dOCLCF|dK6U|dOCLCQ|dTOH|dOCLCQ|dIEEEE|dOCLCO 
049    INap 
082 04 005.275 
082 04 005.275 
099    eBook O'Reilly for Public Libraries 
100 1  Robey, Robert,|eauthor. 
245 10 Parallel and high performance computing /|cRobert Robey, 
       Yuliana Zamora.|h[O'Reilly electronic resource] 
264  1 Shelter Island :|bManning,|c[2021] 
264  4 |c©2021 
300    1 online resource (xxxiv, 667 pages) :|billustrations 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    text file 
500    "For experienced programmers proficient with a high-
       performance computing language like C, C++, or Fortran"--
       Page 4 of cover 
500    Includes index. 
505 0  Part 1. Introduction to parallel computing: Why parallel 
       computing? ; Planning for parallelization ; Performance 
       limits and profiling ; Data design and performance models 
       ; Parallel algorithms and patterns -- part 2. CPU : the 
       parallel workhorse: Vectorization : FLOPs for free ; 
       OpenMP that performs ; MPI : the parallel backbone -- part
       3. GPUs built to accelerate: GPU architectures and 
       concepts ; GPU programming model ; Directive-based GPU 
       programming ; GPU languages : getting down to basics ; GPU
       profiling tools -- part 4. High performance computing 
       ecosystems: Affinity : truce with the kernal ; Batch 
       schedulers : bringing order to chaos ; File operations for
       a parallel world ; Tools and resources for better code. 
520    Parallel and High Performance Computing offers techniques 
       guaranteed to boost your code's effectiveness. You'll 
       learn to evaluate hardware architectures and work with 
       industry standard tools such as OpenMP and MPI. You'll 
       master the data structures and algorithms best suited for 
       high performance computing and learn techniques that save 
       energy on handheld devices. You'll even run a massive 
       tsunami simulation across a bank of GPUs. 
542    |f© 2021 Manning Publications Co. All rights reserved.
       |g2021 
588 0  Print version record. 
590    O'Reilly|bO'Reilly Online Learning: Academic/Public 
       Library Edition 
650  0 Parallel programming (Computer science) 
650  0 Electronic data processing. 
650  0 Big data. 
650  0 C (Computer program language) 
650  6 Programmation parallèle (Informatique) 
650  6 Données volumineuses. 
650  6 C (Langage de programmation) 
650  7 Big data|2fast 
650  7 C (Computer program language)|2fast 
650  7 Electronic data processing|2fast 
650  7 Parallel programming (Computer science)|2fast 
655  7 Instructional and educational works|2fast 
655  7 Instructional and educational works.|2lcgft 
655  7 Matériel d'éducation et de formation.|2rvmgf 
700 1  Zamora, Yuliana,|eauthor. 
776 08 |iPrint version:|aRobey, Robert.|tParallel and high 
       performance computing.|dShelter Island : Manning, [2021]
       |z9781617296468|z1617296465|w(OCoLC)1249107561 
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
       learning.oreilly.com/library/view/~/9781617296468/?ar
       |zAvailable at O'Reilly for Public Libraries 
936    BATCHLOAD 
938    YBP Library Services|bYANK|n302353044 
994    92|bJFN