CUDA Fortran for Scientists and Engineers: Best Practices for Efficient CUDA Fortran Programming - Image 1

£45.99

Morgan Kaufmann CUDA Fortran for Scientists and Engineers: Best Practices for Efficient CUDA Fortran Programming

Name: CUDA Fortran for Scientists and Engineers: Best Practices for Efficient CUDA Fortran Programming
Brand: Morgan Kaufmann
Price: 45.99 GBP
Availability: InStock

Architecture & Microprocessors

Price History & Forecast

Last 30 days • 30 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 30 days • 1 price levels

Days at Price

Price Analysis

Most common price: £46 (30 days, 100.0%)

Price range: £46 - £46

Price levels: 1 different prices over 30 days

Description

CUDA Fortran for Scientists and Engineers shows how high-performance application developers can leverage the power of GPUs using Fortran, the familiar language of scientific computing and supercomputer performance benchmarking. The authors presume no prior parallel computing experience, and cover the basics along with best practices for efficient GPU computing using CUDA Fortran. To help you add CUDA Fortran to existing Fortran codes, the book explains how to understand the target GPU architecture, identify computationally intensive parts of the code, and modify the code to manage the data and parallelism and optimize performance. All of this is done in Fortran, without having to rewrite in another language. Each concept is illustrated with actual examples so you can immediately evaluate the performance of your code in comparison.

Product Specifications

Brand: Morgan Kaufmann
Format: paperback
ASIN: 0124169708
Category: Books > Subjects > Computing & Internet > Computer Science > Architecture & Microprocessors
Domain: Amazon UK
Release Date: 17 September 2013
Listed Since: 05 June 2013

Barcode

No barcode data available

Morgan Kaufmann CUDA Fortran for Scientists and Engineers: Best Practices for Efficient CUDA Fortran Programming

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Modern Fortran:Building Efficient Parallel Applications

Programming in Parallel with CUDA: A Practical Guide

High Performance Computing: Modern Systems and Practices

Modern Fortran in Practice

Introduction to High Performance Scientific Computing (Software, Environments, and Tools)

Professional CUDA C Programming

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

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

Advanced CUDA Techniques: Optimizing C++ Applications for Maximum Performance (Mastering CUDA Programming with C++)

Modern Fortran Explained: Incorporating Fortran 2018 (Numerical Mathematics and Scientific Computation)

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

Classical Fortran: Programming for Engineering and Scientific Applications, Second Edition

Advances in GPU Research and Practice (Emerging Trends in Computer Science and Applied Computing)

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

Numerical Computations with GPUs

Introduction to Modern Scientific Programming and Numerical Methods

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

Designing Scientific Applications on GPUs: 21 (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)

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

Computing for Scientists: Principles of Programming with Fortran 90 and C++: 34 (Manchester Physics Series)

High Performance Computing: Programming and Applications (Chapman & Hall/CRC Computational Science)

High Performance Computing: Programming and Applications (Chapman & Hall/CRC Computational Science)

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

Scientific Computing with Multicore and Accelerators (Chapman & Hall/CRC Computational Science)