Heterogeneous Computing with OpenCL 2.0 - Image 1

£52.36

Morgan Kaufmann Heterogeneous Computing with OpenCL 2.0

Name: Heterogeneous Computing with OpenCL 2.0
Brand: Morgan Kaufmann
Price: 52.36 GBP
Availability: InStock

Architecture & Microprocessors

This is the usual price. Wait for it to drop, or tell us your number.

£52 today · usual range £0–£0 · best ever £50

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 600 days • 600 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 600 days • 6 price levels

Days at Price

Current Price

Price Analysis

Most common price: £52 (347 days, 57.8%)

Price range: £50 - £55

Price levels: 6 different prices over 600 days

Description

Heterogeneous Computing with OpenCL 2.0 teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs). This fully-revised edition includes the latest enhancements in OpenCL 2.0 including: • Shared virtual memory to increase programming flexibility and reduce data transfers that consume resources • Dynamic parallelism which reduces processor load and avoids bottlenecks • Improved imaging support and integration with OpenGL Designed to work on multiple platforms, OpenCL will help you more effectively program for a heterogeneous future. Written by leaders in the parallel computing and OpenCL communities, this book explores memory spaces, optimization techniques, extensions, debugging and profiling. Multiple case studies and examples illustrate high-performance algorithms, distributing work across heterogeneous systems, embedded domain-specific languages, and will give you hands-on OpenCL experience to address a range of fundamental parallel algorithms. Updated content to cover the latest developments in OpenCL 2.0, including improvements in memory handling, parallelism, and imaging support Explanations of principles and strategies to learn parallel programming with OpenCL, from understanding the abstraction models to thoroughly testing and debugging complete applications Example code covering image analytics, web plugins, particle simulations, video editing, performance optimization, and more

Key Features

Morgan Kaufmann

Product Specifications

Brand: Morgan Kaufmann
Format: paperback
ASIN: 0128014148
Category: Books > Subjects > Computing & Internet > Computer Science > Architecture & Microprocessors
Domain: Amazon UK
Release Date: 26 May 2015
Listed Since: 24 July 2014

Barcode

No barcode data available

Morgan Kaufmann Heterogeneous Computing with OpenCL 2.0

This is the usual price. Wait for it to drop, or tell us your number.

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Heterogeneous Computing with OpenCL: Revised OpenCL 1.2 Edition

OpenCL Programming Guide

Multicore and GPU Programming: An Integrated Approach

Data Parallel C++: Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL

Scientific Parallel Computing

Programming Your GPU with OpenMP: Performance Portability for GPUs (Scientific and Engineering Computation)

Parallel and High Performance Computing

Parallel Programming: Practical Aspects, Models & Current Limitations (Mathematics Research Developments)

GPU Parallel Program Development Using CUDA (Chapman & Hall/CRC Computational Science)

GPU Parallel Program Development Using CUDA (Chapman & Hall/CRC Computational Science)

Parallel Computer Architecture: A Hardware/Software Approach (The Morgan Kaufmann Series in Computer Architecture and Design)

Tools for High Performance Computing 2009: Proceedings of the 3rd International Workshop on Parallel Tools for High Performance Computing, September 2009, ZIH, Dresden

Parallel Programming: for Multicore and Cluster Systems

Using OpenMP: Portable Shared Memory Parallel Programming (Scientific and Engineering Computation)

Parallel Programming for Modern High Performance Computing Systems

Parallel Programming for Modern High Performance Computing Systems

OpenCL in Action: How to Accelerate Graphics and Computation

Parallel Computing for Data Science: With Examples in R, C++ and CUDA: 28 (Chapman & Hall/CRC The R Series)

Parallel Algorithms (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)

Elements of Parallel Computing (Chapman & Hall/CRC Computational Science)

Applied Parallel and Distributed Computing: 16

Parallel Programming in OpenMP

Parallele Algorithmen: 64 (Informatik-Fachberichte, 64)

GPU Computing Gems Emerald Edition (Applications of GPU Computing Series)