Poštovani korisnici, zbog državnog praznika korisnička podrška danas nije dostupna. Na vaše zahtjeve odgovorit ćemo sljedeći radni dan. Hvala vam na razumijevanju.

Besplatna dostava putem Box Now paketomata i Overseas kurirske službe iznad 69,99 €.

Provjerite status narudžbe

Pridružite se zajednici ljubitelja knjige iz cijelog svijeta i ostvarite mnoštvo pogodnosti. Izradite besplatni račun

Besplatna dostava Overseas kurirskom službom iznad 69.99 €

DPD kurir 3.99 € Pošta 4.99 € Overseas 4.99 € Box Now 4.49 € GLS 4.99 € DPD točka 3.49 € GLS paketomat 3.99 €

Kontakt

Kako kupovati

Pomoć

Moj račun

▸ Prazno :-(

Poštovani korisnici, zbog državnog praznika korisnička podrška danas nije dostupna. Na vaše zahtjeve odgovorit ćemo sljedeći radni dan. Hvala vam na razumijevanju.

Besplatna dostava putem Box Now paketomata i Overseas kurirske službe iznad 69,99 €.

Parallel and High Performance Computing

Name: Parallel and High Performance Computing
Brand: Manning Publications
SKU: 33298872
Price: 75.47 EUR
Availability: InStock
Author: Juliana Zamora
ISBN: 9781617296468

Juliana Zamora

Jezik

Engleski

Knjiga Meki uvez

Libristo kod: 33298872

Nakladnici Manning Publications, lipanj 2021

Complex calculations, like training deep learning models or running large-scale simulations, can t... Cijeli opis

Libristo kod: 33298872

183 b

75.47 €

50 % šanse Pretražit ćemo cijeli svijet Kada ću dobiti knjigu?

30 dana za povrat kupljenih proizvoda

Kupci su kupili i

C++ Concurrency in Action,2E Anthony Williams

Meki uvez

76.89 €

Deep Learning Ian Goodfellow

Tvrdi uvez

108.15 €

CUDA for Engineers Mete Yurtoglu

Meki uvez

44.00 €

Advances in Dynamic Network Modeling in Complex Transportation Systems Kaan Ozbay

Meki uvez

154.39 €

Reinforcement Learning Richard S. Sutton

Tvrdi uvez

107.24 €

Graph Databases 2e Ian Robinson

Meki uvez

37.83 €

Spark - The Definitive Guide Bill Chambers

Meki uvez

58.77 €

Complex calculations, like training deep learning models or running large-scale simulations, can take an extremely long time. Efficient parallel programming can save hours—or even days—of computing time. Parallel and High Performance Computing shows you how to deliver faster run-times, greater scalability, and increased energy efficiency to your programs by mastering parallel techniques for multicore processor and GPU hardware.

about the technology

Modern computing hardware comes equipped with multicore CPUs and GPUs that can process numerous instruction sets simultaneously. Parallel computing takes advantage of this now-standard computer architecture to execute multiple operations at the same time, offering the potential for applications that run faster, are more energy efficient, and can be scaled to tackle problems that demand large computational capabilities. But to get these benefits, you must change the way you design and write software. Taking advantage of the tools, algorithms, and design patterns created specifically for parallel processing is essential to creating top performing applications.

about the book

Parallel and High Performance Computing is an irreplaceable guide for anyone who needs to maximize application performance and reduce execution time. Parallel computing experts Robert Robey and Yuliana Zamora take a fundamental approach to parallel programming, providing novice practitioners the skills needed to tackle any high-performance computing project with modern CPU and GPU hardware. Get under the hood of parallel computing architecture and learn to evaluate hardware performance, scale up your resources to tackle larger problem sizes, and deliver a level of energy efficiency that makes high performance possible on hand-held devices. When you’re done, you’ll be able to build parallel programs that are reliable, robust, and require minimal code maintenance.

This book is unique in its breadth, with discussions of parallel algorithms, techniques to successfully develop parallel programs, and wide coverage of the most effective languages for the CPU and GPU. The programming paradigms include MPI, OpenMP threading, and vectorization for the CPU. For the GPU, the book covers OpenMP and OpenACC directive-based approaches and the native-based CUDA and OpenCL languages.

what''s inside

Steps for planning a new parallel project
Choosing the right data structures and algorithms
Addressing underperforming kernels and loops
The differences in CPU and GPU architecture

about the reader

For experienced programmers with proficiency in a high performance computing language such as C, C++, or Fortran.

about the authors

Robert Robey has been active in the field of parallel computing for over 30 years. He works at Los Alamos National Laboratory, and has previously worked at the University of New Mexico, where he started up the Albuquerque High Performance Computing Center. Yuliana Zamora has lectured on efficient programming of modern hardware at national conferences, based on her work developing applications running on tens of thousands of processing cores and the latest GPU architectures.