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Parallel Programming in OpenMP

The rapid and widespread acceptance of shared-memory multiprocessor architectures has created a pressing demand for an efficient;

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Linux Programming Interface

communication using pipes, message queues, shared memory, and semaphores Write network applications with the sockets API While The;

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Using OpenMP

A comprehensive overview of OpenMP, the standard application programming interface for shared memory parallel computing-a reference for;

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Introduction To Parallel Programming

the new multi-core and cluster architecture. It explains how to design, debug, and evaluate the performance of distributed and shared-memory;

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Shared Memory Application Programming

Shared Memory Application Programming presents the key concepts and applications of parallel programming, in an accessible and engaging;

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Principles of Transactional Memory

application communicate, and synchronize their actions, via in-memory transactions. Each transaction can perform any number of operations on shared;

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Data-Parallel Programming on MIMD Computers

written in a high-level SIMD programming language may be compiled and efficiently executed-on both shared-memory multiprocessors and distributed;

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Parallel Programming

general parallelism concepts, this text teaches practical programming skills for both shared memory and distributed memory architectures. The;

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Applied Microsoft .Net Framework Programming

Framework architecture . Building, packaging, deploying, and administering applications and their types . Building and deploying shared assemblies;

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The Art of Multiprocessor Programming

>Presents the fundamentals of programming multiple threads for accessing shared memory Explores mainstream concurrent data structures and;

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Principles of Transactional Memory

application communicate, and synchronize their actions, via in-memory transactions. Each transaction can perform any number of operations on shared;

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The Art of Concurrency

shared-memory and distributed-memory; learn guidelines for designing multithreaded applications, including testing and tuning; discover how to;

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A Practical Approach to High-Performance Computing

address both key approaches to programming modern computing systems: multithreading-based parallelizing in shared memory systems, and applying;

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A Practical Approach to High-Performance Computing

address both key approaches to programming modern computing systems: multithreading-based parallelizing in shared memory systems, and applying;

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An Introduction to Parallel Programming

the performance of distributed and shared-memory programs while adding coverage of accelerators via new content on GPU programming and;

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High Performance Computing

techniques that pertain to each of the three levels of parallelism: Message passing between the nodes Shared memory parallelism on the;

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High Performance Computing

techniques that pertain to each of the three levels of parallelism: Message passing between the nodes Shared memory parallelism on the;

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Shared-Memory Parallelism Can Be Simple, Fast, and Scalable

of the design of shared-memory programming techniques, frameworks, and algorithms for important problems in computing. The thesis provides;

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Shared-Memory Parallelism Can Be Simple, Fast, and Scalable

of the design of shared-memory programming techniques, frameworks, and algorithms for important problems in computing. The thesis provides;

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Programming Mobile Devices

understanding of embedded systems and workstation programming. * Covers memory management, the concepts of applications, dynamically linked libraries;

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Fundamentals of Parallel Multicore Architecture

assignments and solutions that enhance students' understanding The first several chapters address programming issues in shared memory;

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Fundamentals of Parallel Multicore Architecture

programming model and techniques to parallelize regular and irregular applications. The core of the book covers the architectures for shared memory;

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Programming for Hybrid Multicore Mpp Systems

a large memory space. These nodes will be the building block for systems that range from a single node workstation up to systems approaching;

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Programming for Hybrid Multi/Manycore MPP Systems

share a large memory space. These nodes will be the building block for systems that range from a single node workstation up to systems;

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Unix Network Programming

passing, synchronization, shared memory, and Remote Procedure Calls (RPC). Stevens begins with a basic introduction to IPC and the problems it;

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Unix Network Programming

passing, synchronization, shared memory, and Remote Procedure Calls (RPC). Stevens begins with a basic introduction to IPC and the problems it;

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Shared Memory Multiprocessing

This book is the first to provide a coherent review of current research in shared memory multiprocessing in the United States and Japan;

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