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like to accelerate their codes using GPU programming without losing the many benefits of MATLAB. The book starts with coverage of the Parallel;
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for utilizing GPUs make MATLAB users hesitate to step into it. Accelerating MATLAB with GPUs offers a primer on bridging this gap.
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explains how GPU execution is achieved with algorithm implementation techniques and approaches to data structure layout. More specifically, it;
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) Interactive & Digital Media. The book also addresses the fundamental issues in GPU computing with a focus on big data processing. Researchers and;
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This book covers the new topic of GPU computing with many applications involved, taken from diverse fields such as networking, seismology;
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This book covers the new topic of GPU computing with many applications involved, taken from diverse fields such as networking, seismology;
Vergelijkbare producten zoals GPU Solutions to Multi-scale Problems in Science and Engineering
getting started with GPU computing. It will start with introducing GPU computing and explain the architecture and programming models for GPUs. You;
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accompanying MatLab source this book helps you implement the DEM model for use with high performing technology, for particular implementation of the;
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describing multiple ways to greatly improve MATLAB program speed. Packed with thousands of helpful tips, it leaves no stone unturned, discussing;
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Numerical Computing with MATLAB is a lively textbook for an introductory course in numerical methods, MATLAB and technical computing.;
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Break into the powerful world of parallel GPU programming with this down-to-earth, practical guide Designed for professionals across;
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experience, and cover the basics along with best practices for efficient GPU computing using CUDA Fortran. To help you add CUDA Fortran to;
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required to quickly produce well-performing parallel programs. MATLAB is currently the dominant language of technical computing with one million;
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Scientific Computing with MATLAB (R), Second Edition improves students' ability to tackle mathematical problems. It helps students;
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Scientific Computing with MATLAB (R), Second Edition improves students' ability to tackle mathematical problems. It helps students;
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to running CUDA code in MATLAB. This book exercises the acceleration of MRI reconstruction algorithm on NVIDIA's GeForce G 103M based GPU and;
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DescriptionHands-On GPU Programming with Python and CUDA hits the ground running: you'll start by learning how to apply Amdahl's Law, use a code profiler;
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CPU, GPU, FPGA)Use SYCL and SYCL compilers Connect with computing's heterogeneous future via Intel's oneAPI initiative Who This;
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you to learn programming and modeling essentials. You'll become efficient with many of the built-in tools and functions of MATLAB/Simulink;
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programming. The engine provides robust and accurate source code with SIMD when appropriate and GPU versions of algorithms when possible.;
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accurate source code with SIMD when appropriate and GPU versions of algorithms when possible.;
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programming and GPU architecture. Various techniques for constructing parallel programs are explored in detail. Case studies demonstrate the;
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based on the engineering of MATLAB as a tool for computing. The book has several chapters dealing with numerous professional fields and can be;
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Master Metal: The Next-Generation Graphics and GPU Programming Platform for Apple Developers Metal enables Apple developers to;
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visualization with MATLAB Build a GUI and develop App with MATLAB Work with integration and numerical root finding methods Apply MATLAB to;
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Einde inhoud
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