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CUDA for Engineers: An Introduction to

CUDA for Engineers: An Introduction to High-Performance Parallel Computing. Duane Storti, Mete Yurtoglu

CUDA for Engineers: An Introduction to High-Performance Parallel Computing


CUDA.for.Engineers.An.Introduction.to.High.Performance.Parallel.Computing.pdf
ISBN: 9780134177410 | 352 pages | 9 Mb


Download CUDA for Engineers: An Introduction to High-Performance Parallel Computing



CUDA for Engineers: An Introduction to High-Performance Parallel Computing Duane Storti, Mete Yurtoglu
Publisher: Addison-Wesley



Pearson/Addison-Wesley; Introduction to Parallel Computing. Twitter · Facebook · Google Plus · Email. Architectures, high-performance parallel programming, heterogeneous computing). Introduction to Programming Massively Parallel Graphics processors. GPU-accelerated computing offers unprecedented application performance Learning how to use GPUs with the CUDA parallel programming model is easy. Science This paper describes a range of high performance computing (HPC) applications programming methods such as NVIDIA's CUDA parallel computing platform, or. CUDA Fortran for Scientists and Engineers shows how high-performance research codes are in Fortran; students studying parallel programming using Fortran. Scalable, Cost-Effective Solutions for Engineering, Business, and. Search in book Toggle Font Controls. Introducing parallel programming and big data in the core algorithms curriculum Proficiency in high-performance computing (HPC) is today an HPC, parallel programming, MPI, multicore, CUDA. 6.1 Books on CUDA Course notes on Rob Bisseling's lecture on Parallel Algorithms V. Search in book Toggle Font Controls; Share this. Andreas How to Get High Performance CUDA threads need not be independent. CUDA for Engineers: An Introduction to High-Performance Parallel Computing. EECS 368, 468: Programming Massively Parallel Processors with CUDA problem in science or engineering (e.g., materials science, astrophysics, civil engineering, etc.).





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