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

evidence that with appropriate programming techniques, frameworks, and algorithms, shared-memory programs can be simple, fast, and scalable, both;

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

evidence that with appropriate programming techniques, frameworks, and algorithms, shared-memory programs can be simple, fast, and scalable, both;

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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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Mastering Parallel Programming with R

finish, or by dipping in chapter by chapter, as each chapter describes a specific parallel approach and technology, so can be read as a;

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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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Automatic Parallelization

to parallelization, and discuss transformations that expose parallelism to target shared memory multicore and vector processors. We then;

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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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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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Learning Spark

computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs;

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Cambridge Texts in Applied Mathematics

dependencies, and communication. These ideas are implemented with respect to shared memory, parallel and vector processing, and distributed memory;

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Parallel Programming in OpenMP

set of compiler directives and library routines that extend FORTRAN, C, and C++ codes to express shared-memory parallelism.

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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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Scalable Input/Output

; scheduling and shared virtual memory alternatives; network support for low-latency data transfer; and parallel I/O application programming interfaces.;

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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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Unstructured Scientific Computation on Scalable Multiprocessors

computers, such as hypercubes and the Connection Machine®, that can be scaled up to incredible performances. The algorithms covered include those;

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ScaLAPACK Users' Guide

supercomputers, and shared memory parallel computers. Both libraries contain routines for solving systems of linear equations, least squares problems;

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Seven Concurrency Models In Seven Weeks

Memory (STM) and automatic parallelism help you tame it. You'll learn about the untapped potential within every GPU and how GPGPU software can;

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High Performance Computing

techniques described can be applied to other languages, such as C++ and Java. Drawing on their experience with chips from AMD and systems;

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High Performance Computing

techniques described can be applied to other languages, such as C++ and Java. Drawing on their experience with chips from AMD and systems;

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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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Pro TBB

built-in standard template library for parallelism. You'll learn the key concepts of managing memory, working with data structures and how to;

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Pro TBB

built-in standard template library for parallelism. You'll learn the key concepts of managing memory, working with data structures and how;

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The Trained Memory

Lost phone numbers, missed appointments, forgotten birthdays, blown deadlines -- how much of the stress in your life can be traced back to;

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Heterogeneous Computing with OpenCL 2.0

includes the latest enhancements in OpenCL 2.0 including: . Shared virtual memory to increase programming flexibility and reduce data;

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Photographic Memory

Following the right steps can unlock the key to fully recalling images from your memory. If you want to break the memory loss circle, then;

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Photographic Memory

Following the right steps can unlock the key to fully recalling images from your memory. If you want to break the memory loss circle, then;

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Beginning Scala

Beginning Scala, Second Edition takes a down-to-earth approach to teaching Scala that leads you through simple examples that can be;

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