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Numerical Computations with GPUs

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Release : 2014-07-03
Genre : Computers
Kind : eBook
Book Rating : 483/5 ( reviews)

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Book Synopsis Numerical Computations with GPUs by : Volodymyr Kindratenko

Download or read book Numerical Computations with GPUs written by Volodymyr Kindratenko. This book was released on 2014-07-03. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Designing Scientific Applications on GPUs

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Author :
Release : 2013-11-21
Genre : Computers
Kind : eBook
Book Rating : 640/5 ( reviews)

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Book Synopsis Designing Scientific Applications on GPUs by : Raphael Couturier

Download or read book Designing Scientific Applications on GPUs written by Raphael Couturier. This book was released on 2013-11-21. Available in PDF, EPUB and Kindle. Book excerpt: 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

GPU Gems 2

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Author :
Release : 2005
Genre : Computers
Kind : eBook
Book Rating : 593/5 ( reviews)

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Book Synopsis GPU Gems 2 by : Matt Pharr

Download or read book GPU Gems 2 written by Matt Pharr. This book was released on 2005. Available in PDF, EPUB and Kindle. Book excerpt: More useful techniques, tips, and tricks for harnessing the power of the new generation of powerful GPUs.

Designing Scientific Applications on GPUs

Download Designing Scientific Applications on GPUs PDF Online Free

Author :
Release : 2013-11-21
Genre : Mathematics
Kind : eBook
Book Rating : 624/5 ( reviews)

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Book Synopsis Designing Scientific Applications on GPUs by : Raphael Couturier

Download or read book Designing Scientific Applications on GPUs written by Raphael Couturier. This book was released on 2013-11-21. Available in PDF, EPUB and Kindle. Book excerpt: 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.

GPGPU Programming for Games and Science

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Release : 2014-08-15
Genre : Computers
Kind : eBook
Book Rating : 353/5 ( reviews)

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Book Synopsis GPGPU Programming for Games and Science by : David H. Eberly

Download or read book GPGPU Programming for Games and Science written by David H. Eberly. This book was released on 2014-08-15. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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