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The OpenMP Common Core

Making OpenMP Simple Again

by Timothy G. Mattson, Yun (Helen) He, Alice E. Koniges ...

Series series Scientific and Engineering Computation
How to become a parallel programmer by learning the twenty-one essential components of OpenMP.This book guides readers through the most essential elements of OpenMP—the twenty-one components that most OpenMP programmers use most of the time, known collectively as the “OpenMP Common Core.” Once they have mastered these components, readers with no prior experience writing parallel code will be ... Read more

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How to become a parallel programmer by learning the twenty-one essential components of OpenMP.This book guides readers through the most essential elements of OpenMP—the twenty-one components that most OpenMP programmers use most of the time, known collectively as the “OpenMP Common Core.” Once they have mastered these components, readers with no prior experience writing parallel code will be
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Series Book 3 - Python
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Although the highly anticipated petascale computers of the near future will perform at an order of magnitude faster than today's quickest supercomputer, the scaling up of algorithms and applications for this class of computers remains a tough challenge. From scalable algorithm design for massive concurrency toperformance analyses and scientific vis
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Get a fundamental understanding of asynchronous programming and Rust's futures by working through examples that show you how everything really worksKey FeaturesMaster asynchronous Rust through examples focusing on key conceptsBuild a solid understanding of concepts such as coroutines, fibers, futures, and callbacksExplore Rust's futures, craft your own runtime, and excel in handling stacks, ABIs,
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Python for Absolute Beginners

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Parallel Iterative Algorithms

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Focusing on grid computing and asynchronism, Parallel Iterative Algorithms explores the theoretical and practical aspects of parallel numerical algorithms. Each chapter contains a theoretical discussion of the topic, an algorithmic section that fully details implementation examples and specific algorithms, and an evaluation of the advantages and dr
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Distributed Computing with Python

Harness the power of multiple computers using Python through this fast-paced informative guide

by Francesco Pierfederici ...

Harness the power of multiple computers using Python through this fast-paced informative guideKey Features\[\*\] You'll learn to write data processing programs in Python that are highly available, reliable, and fault tolerant\[\*\] Make use of Amazon Web Services along with Python to establish a powerful remote computation system\[\*\] Train Python to handle data-intensive and resource hungry ... Read more

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by Tomás Domínguez Mínguez ...

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Recommended For You

Parallel Programming eBooks

The OpenMP Common Core

Topics in Parallel and Distributed Computing

Python Beyond Limits

Petascale Computing

Web Programming with Go, Second Edition

Asynchronous Programming in Rust

Github Copilot For Developers

High-Performance LLM Inference with TensorRT-LLM

Application of High-Performance Computing to Earthquake-Related Problems

Mastering C++ Swiftly

Learning Julia

Functional Programming in Go

Building Big Data Pipelines with Apache Beam

Mastering Concurrency in Python

Learning Concurrency in Kotlin

Mastering Design and CAD

C++ Programming Cookbook

CUDA Programming in C

Python for Absolute Beginners

High Performance Computing

GPU Pro 6

Parallel Iterative Algorithms

Distributed Computing with Python

Desarrollo de interfaces gráficas en Python 3 con Tkinter