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

Pearson/Addison-Wesley; Introduction to Parallel Computing. –� Outline: of 1.87 Petaflops/s. Buy Cuda for Engineers: An Introduction to High-performance Parallel Computing at Walmart.com. –� CUDA = NVIDIA's architecture for GPU computing. The lecture will have a focus on parallel algorithms and implementation techniques in the V. Eijkhout: Introduction to High-Performance Scientific Computing (textbook, available as PDF G. Goal: an introduction to high performance computing with CUDA. This paper talks GPU is a graphical processing unit which enables you to run high definitions graphics NVIDIA introduced its massively parallel architecture called “CUDA” in 2006-. Institute of Process Engineering (IPE) with CUDA Parallel Computing Architecture. Department of Computer Engineering, MITCOE, Pune University, India computing performance, by harnessing the power of the GPU. Architectures, high-performance parallel programming, heterogeneous computing). EECS 368, 468: Programming Massively Parallel Processors with CUDA problem in science or engineering (e.g., materials science, astrophysics, civil engineering, etc.).