Numerical Computations with GPUs - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Numerical Computations with GPUs write by Volodymyr Kindratenko. This book was released on 2014-07-03. Numerical Computations with GPUs available in PDF, EPUB and Kindle. This book brings together research on numerical methods adapted for Graphics Processing Units (GPUs). It explains recent efforts to adapt classic numerical methods, including solution of linear equations and FFT, for massively parallel GPU architectures. This volume consolidates recent research and adaptations, covering widely used methods that are at the core of many scientific and engineering computations. Each chapter is written by authors working on a specific group of methods; these leading experts provide mathematical background, parallel algorithms and implementation details leading to reusable, adaptable and scalable code fragments. This book also serves as a GPU implementation manual for many numerical algorithms, sharing tips on GPUs that can increase application efficiency. The valuable insights into parallelization strategies for GPUs are supplemented by ready-to-use code fragments. Numerical Computations with GPUs targets professionals and researchers working in high performance computing and GPU programming. Advanced-level students focused on computer science and mathematics will also find this book useful as secondary text book or reference.
GPU Gems 2
GPU Gems 2 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook GPU Gems 2 write by Matt Pharr. This book was released on 2005. GPU Gems 2 available in PDF, EPUB and Kindle. More useful techniques, tips, and tricks for harnessing the power of the new generation of powerful GPUs.
Designing Scientific Applications on GPUs
Designing Scientific Applications on GPUs - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Designing Scientific Applications on GPUs write by Raphael Couturier. This book was released on 2013-11-21. Designing Scientific Applications on GPUs available in PDF, EPUB and Kindle. Many of today’s complex scientific applications now require a vast amount of computational power. General purpose graphics processing units (GPGPUs) enable researchers in a variety of fields to benefit from the computational power of all the cores available inside graphics cards. Understand the Benefits of Using GPUs for Many Scientific Applications Designing Scientific Applications on GPUs shows you how to use GPUs for applications in diverse scientific fields, from physics and mathematics to computer science. The book explains the methods necessary for designing or porting your scientific application on GPUs. It will improve your knowledge about image processing, numerical applications, methodology to design efficient applications, optimization methods, and much more. Everything You Need to Design/Port Your Scientific Application on GPUs The first part of the book introduces the GPUs and Nvidia’s CUDA programming model, currently the most widespread environment for designing GPU applications. The second part focuses on significant image processing applications on GPUs. The third part presents general methodologies for software development on GPUs and the fourth part describes the use of GPUs for addressing several optimization problems. The fifth part covers many numerical applications, including obstacle problems, fluid simulation, and atomic physics models. The last part illustrates agent-based simulations, pseudorandom number generation, and the solution of large sparse linear systems for integer factorization. Some of the codes presented in the book are available online.
High Performance Computing for Computational Science - VECPAR 2006
High Performance Computing for Computational Science - VECPAR 2006 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook High Performance Computing for Computational Science - VECPAR 2006 write by Michel Daydé. This book was released on 2007-04-02. High Performance Computing for Computational Science - VECPAR 2006 available in PDF, EPUB and Kindle. This book constitutes the thoroughly refereed post-proceedings of the 7th International Conference on High Performance Computing for Computational Science, VECPAR 2006, held in Rio de Janeiro, Brazil, in June 2006. The 44 revised full papers presented together with one invited paper and 12 revised workshop papers cover Grid computing, cluster computing, numerical methods, large-scale simulations in Physics, and computing in Biosciences.
GPGPU Programming for Games and Science
GPGPU Programming for Games and Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook GPGPU Programming for Games and Science write by David H. Eberly. This book was released on 2014-08-15. GPGPU Programming for Games and Science available in PDF, EPUB and Kindle. An In-Depth, Practical Guide to GPGPU Programming Using Direct3D 11 GPGPU Programming for Games and Science demonstrates how to achieve the following requirements to tackle practical problems in computer science and software engineering: Robustness Accuracy Speed Quality source code that is easily maintained, reusable, and readable The book primarily addresses programming on a graphics processing unit (GPU) while covering some material also relevant to programming on a central processing unit (CPU). It discusses many concepts of general purpose GPU (GPGPU) programming and presents practical examples in game programming and scientific programming. The author first describes numerical issues that arise when computing with floating-point arithmetic, including making trade-offs among robustness, accuracy, and speed. He then shows how single instruction multiple data (SIMD) extensions work on CPUs since GPUs also use SIMD. The core of the book focuses on the GPU from the perspective of Direct3D 11 (D3D11) and the High Level Shading Language (HLSL). This chapter covers drawing 3D objects; vertex, geometry, pixel, and compute shaders; input and output resources for shaders; copying data between CPU and GPU; configuring two or more GPUs to act as one; and IEEE floating-point support on a GPU. The book goes on to explore practical matters of programming a GPU, including code sharing among applications and performing basic tasks on the GPU. Focusing on mathematics, it next discusses vector and matrix algebra, rotations and quaternions, and coordinate systems. The final chapter gives several sample GPGPU applications on relatively advanced topics. Web Resource Available on a supporting website, the author’s fully featured Geometric Tools Engine for computing and graphics saves you from having to write a large amount of infrastructure code necessary for even the simplest of applications involving shader programming. The engine provides robust and accurate source code with SIMD when appropriate and GPU versions of algorithms when possible.
