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

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



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CUDA for Engineers: An Introduction to High-Performance Parallel Computing Duane Storti, Mete Yurtoglu ebook
ISBN: 9780134177410
Publisher: Addison-Wesley
Format: pdf
Page: 352


An introduction to a new emerging paradigm: GPU Computing with CUDA. GPU-accelerated computing offers unprecedented application performance Learning how to use GPUs with the CUDA parallel programming model is easy. CUDA is steadily winning customers in scientific and engineering fields. CUDA Practicalities: Timing, Profiling, Error Handling, and Debugging So far we have just run full steam ahead into CUDA CUDA for Engineers: An Introduction to High-Performance Parallel Computing C. 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. Therefore, parallel computing is an essential solution to speed up the computation. 25.09.2015, C++11, Introduction to Parallel Programming. High Performance Computing (HPC) allows scientists and engineers to solve Get an overview of Amazon EC2 » AWS GPU instances provide access to NVIDIA GPUs each with up to 1,536 CUDA cores and 4GB of video memory. Very large high performance computing clusters for massively parallel processing . High Performance Computing for Science and Engineering (HPCSE) I Introduction.





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