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Consistent Distributed Storage

Providing a shared memory abstraction in distributed systems is a powerful tool that can simplify the design and implementation of software;

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Distributed Shared Memory

The papers present in this text survey both distributed shared memory (DSM) efforts and commercial DSM systems. The book discusses relevant;

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A System of Logic

This study of shared and distributed memory parallel processing computer systems and their use in the solution of numerical problems;

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Switch/Router Architectures

of centralized versus distributed design of the architecture is also presented. The author discusses use of bus versus shared-memory for communication;

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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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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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Using OpenMP

programming interfaces for shared and distributed memory parallel architectures. It introduces the individual features of OpenMP, provides many source;

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Concurrent Systems

straightfoward approach, coupled with new material on operating system functions, synchronization, shared memory, middleware, mobile computing and;

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Introduction to Reliable and Secure Distributed Programming

reliable broadcast, shared memory, consensus, and extensions of consensus. For every topic, many exercises and their solutions enhance the;

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Distributed and Shared Leadership. Fuhrung auf mehreren Hierarchieebenen

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Distributed Algorithms

for shared memory. An appendix offers pseudocode descriptions of many algorithms. Solutions and slides are available for instructors;

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Parallel Programming in OpenMP

address these issues, is an industry-wide standard for programming shared-memory and distributed shared-memory multiprocessors. It consists of a;

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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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Supercompilers For Parallel And Vector Computers

shared-memory and distributed-memory computers.;

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Information Dispersal and Parallel Computation

. Further work has led to extensions of these methods to other applications such as shared memory emulations. This volume presents an extended and;

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Distributed Algorithms

collection of computers that send messages to each other or by multiple software threads that use the same shared memory. The algorithms presented;

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Elements of Distributed Computing

focus on shared memory and synchronous systems commonly taken by other texts, this is the first useful reference based on an asynchronous model;

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The implementation of functional languages on parallel machines with distributed memory

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Parallel and Distributed Computing

include: Data parallelism; Shared-memory programming; Message passing; Client/server computing; Code mobility; Coordination, object-oriented, high;

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Distributed Systems with Persistent Memory

and thermodynamic with memory. The common feature of these systems is that memory of the whole past history persists in the future. This class;

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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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Distributed System Design

replace the traditional von Neumann organization. As computing networks come into being, one of the latest dreams is now possible - distributed;

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Distributed System Design

replace the traditional von Neumann organization. As computing networks come into being, one of the latest dreams is now possible - distributed;

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Annual Review Of Scalable Computing, Vol 5

, which adds distributed shared memory capabilities to the Cilk parallel programming system. Once again, the book represents a new set of steps;

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Julia High Performance

power of the GPU to write efficient numerical code Speed up your computation with the help of newly introduced shared memory multi-threading;

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Concurrent And Distributed Computing In Java

of two parts. The first part deals with techniques for programming in shared-memory based systems. The book covers concepts in Java such as;

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SR Programming Language

, communication, and synchronization, programmers can easily learn to write programs for both shared- and distributed-memory applications and;

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