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Numerical Computations With Gpus


Numerical Computations With Gpus
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Numerical Computations With Gpus


Numerical Computations With Gpus
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Author : Volodymyr Kindratenko
language : en
Publisher: Springer
Release Date : 2014-07-03

Numerical Computations With Gpus written by Volodymyr Kindratenko and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-03 with Computers categories.


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.



High Performance Computing For Computational Science Vecpar 2006


High Performance Computing For Computational Science Vecpar 2006
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Author : Michel Daydé
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-04-02

High Performance Computing For Computational Science Vecpar 2006 written by Michel Daydé and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-04-02 with Computers categories.


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.



Gpu Assembly And Shader Programming For Compute


Gpu Assembly And Shader Programming For Compute
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Author : Robert Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-02-10

Gpu Assembly And Shader Programming For Compute written by Robert Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-10 with Computers categories.


"GPU Assembly and Shader Programming for Compute: Low-Level Optimization Techniques for High-Performance Parallel Processing" is a comprehensive guide to unlocking the full potential of modern Graphics Processing Units. Navigate the complexities of GPU architecture as this book elucidates foundational concepts and advanced techniques relevant to both novice and experienced developers. Through detailed exploration of shader languages and assembly programming, readers gain the skills to implement efficient, scalable solutions leveraging the immense power of GPUs. The book is carefully structured to build from the essentials of setting up a robust development environment to sophisticated strategies for optimizing shader code and mastering advanced GPU compute techniques. Each chapter sheds light on key areas of GPU computing, encompassing debugging, performance profiling, and tackling cross-platform programming challenges. Real-world applications are illustrated with practical examples, revealing GPU capabilities across diverse industries—from scientific research and machine learning to game development and medical imaging. Anticipating future trends, this text also addresses upcoming innovations in GPU technology, equipping readers with insights to adapt and thrive in a rapidly evolving field. Whether you are a software engineer, researcher, or enthusiast, this book is your definitive resource for mastering GPU programming, setting the stage for innovative applications and unparalleled computational performance.



Gpu Computing Gems Jade Edition


Gpu Computing Gems Jade Edition
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Author : Wen-mei Hwu
language : en
Publisher: Elsevier
Release Date : 2011-09-28

Gpu Computing Gems Jade Edition written by Wen-mei Hwu and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-28 with Computers categories.


"Since the introduction of CUDA in 2007, more than 100 million computers with CUDA capable GPUs have been shipped to end users. GPU computing application developers can now expect their application to have a mass market. With the introduction of OpenCL in 2010, researchers can now expect to develop GPU applications that can run on hardware from multiple vendors"--



Fast And Accurate Finite Element Multigrid Solvers For Pde Simulations On Gpu Clusters


Fast And Accurate Finite Element Multigrid Solvers For Pde Simulations On Gpu Clusters
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Author : Dominik Göddeke
language : en
Publisher: Logos Verlag Berlin GmbH
Release Date : 2011

Fast And Accurate Finite Element Multigrid Solvers For Pde Simulations On Gpu Clusters written by Dominik Göddeke and has been published by Logos Verlag Berlin GmbH this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Computers categories.


This dissertation demonstrates that graphics processors (GPUs) as representatives of emerging many-core architectures are very well-suited for the fast and accurate solution of large, sparse linear systems of equations, using parallel multigrid methods on heterogeneous compute clusters. Such systems arise for instance in the discretisation of (elliptic) partial differential equations with finite elements. Fine-granular parallelisation techniques and methods to ensure accuracy are developed that enable at least one order of magnitude speedup over highly-tuned conventional CPU implementations, without sacrificing neither accuracy nor functionality.



High Performance Computing Systems Performance Modeling Benchmarking And Simulation


High Performance Computing Systems Performance Modeling Benchmarking And Simulation
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Author : Stephen Jarvis
language : en
Publisher: Springer
Release Date : 2017-12-22

High Performance Computing Systems Performance Modeling Benchmarking And Simulation written by Stephen Jarvis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-22 with Computers categories.


This book constitutes the refereed proceedings papers from the 8th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems, PMBS 2017, held in Denver, Colorado, USA, in November 2017. The 10 full papers and 3 short papers included in this volume were carefully reviewed and selected from 36 submissions. They were organized in topical sections named: performance evaluation and analysis; performance modeling and simulation; and short papers.



Using Hpc For Computational Fluid Dynamics


Using Hpc For Computational Fluid Dynamics
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Author : Shamoon Jamshed
language : en
Publisher: Academic Press
Release Date : 2015-05-12

Using Hpc For Computational Fluid Dynamics written by Shamoon Jamshed and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-12 with Science categories.


Using HPC for Computational Fluid Dynamics: A Guide to High Performance Computing for CFD Engineers offers one of the first self-contained guides on the use of high performance computing for computational work in fluid dynamics. Beginning with an introduction to HPC, including its history and basic terminology, the book moves on to consider how modern supercomputers can be used to solve common CFD challenges, including the resolution of high density grids and dealing with the large file sizes generated when using commercial codes. Written to help early career engineers and post-graduate students compete in the fast-paced computational field where knowledge of CFD alone is no longer sufficient, the text provides a one-stop resource for all the technical information readers will need for successful HPC computation. - Offers one of the first self-contained guides on the use of high performance computing for computational work in fluid dynamics - Tailored to the needs of engineers seeking to run CFD computations in a HPC environment



Parallel And High Performance Computing In Artificial Intelligence


Parallel And High Performance Computing In Artificial Intelligence
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Author : Mukesh Raghuwanshi
language : en
Publisher: CRC Press
Release Date : 2025-05-20

Parallel And High Performance Computing In Artificial Intelligence written by Mukesh Raghuwanshi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-20 with Computers categories.


Parallel and High-Performance Computing in Artificial Intelligence explores high-performance architectures for data-intensive applications as well as efficient analytical strategies to speed up data processing and applications in automation, machine learning, deep learning, healthcare, bioinformatics, natural language processing (NLP), and vision intelligence. The book’s two major themes are high-performance computing (HPC) architecture and techniques and their application in artificial intelligence. Highlights include: HPC use cases, application programming interfaces (APIs), and applications Parallelization techniques HPC for machine learning Implementation of parallel computing with AI in big data analytics HPC with AI in healthcare systems AI in industrial automation Coverage of HPC architecture and techniques includes multicore architectures, parallel-computing techniques, and APIs, as well as dependence analysis for parallel computing. The book also covers hardware acceleration techniques, including those for GPU acceleration to power big data systems. As AI is increasingly being integrated into HPC applications, the book explores emerging and practical applications in such domains as healthcare, agriculture, bioinformatics, and industrial automation. It illustrates technologies and methodologies to boost the velocity and scale of AI analysis for fast discovery. Data scientists and researchers can benefit from the book’s discussion on AI-based HPC applications that can process higher volumes of data, provide more realistic simulations, and guide more accurate predictions. The book also focuses on deep learning and edge computing methodologies with HPC and presents recent research on methodologies and applications of HPC in AI.



Recent Advances On Hybrid Intelligent Systems


Recent Advances On Hybrid Intelligent Systems
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Author : Oscar Castillo
language : en
Publisher: Springer
Release Date : 2012-09-14

Recent Advances On Hybrid Intelligent Systems written by Oscar Castillo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-14 with Technology & Engineering categories.


This book presents recent advances on hybrid intelligent systems using soft computing techniques for intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain groups of papers around a similar subject. The first part consists of papers with the main theme of hybrid intelligent systems for control and robotics, which are basically state of the art papers that propose new models and concepts, which can be the basis for achieving intelligent control and mobile robotics. The second part contains papers with the main theme of hybrid intelligent systems for pattern recognition and time series prediction, which are basically papers using nature-inspired techniques, like evolutionary algorithms, fuzzy logic and neural networks, for achieving efficient pattern recognition or time series prediction. The third part contains papers with the theme of bio-inspired and genetic optimization methods, which basically consider the proposal of new methods and applications of bio-inspired optimization to solve complex optimization of real problems. The fourth part contains papers that deal with the application of intelligent optimization techniques in real world problems in scheduling, planning and manufacturing. The fifth part contains papers with the theme of evolutionary methods and intelligent computing, which are papers considering soft computing methods for applications related to diverse areas, such as natural language processing, recommending systems and optimization.



Gpu Solutions To Multi Scale Problems In Science And Engineering


Gpu Solutions To Multi Scale Problems In Science And Engineering
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Author : David A. Yuen
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-01-09

Gpu Solutions To Multi Scale Problems In Science And Engineering written by David A. Yuen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-09 with Computers categories.


This book covers the new topic of GPU computing with many applications involved, taken from diverse fields such as networking, seismology, fluid mechanics, nano-materials, data-mining , earthquakes ,mantle convection, visualization. It will show the public why GPU computing is important and easy to use. It will offer a reason why GPU computing is useful and how to implement codes in an everyday situation.