Software Optimization for High-performance Computing

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Publisher : Prentice Hall Professional
ISBN 13 : 9780130170088
Total Pages : 414 pages
Book Rating : 4.1/5 (7 download)

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Book Synopsis Software Optimization for High-performance Computing by : Kevin R. Wadleigh

Download or read book Software Optimization for High-performance Computing written by Kevin R. Wadleigh and published by Prentice Hall Professional. This book was released on 2000 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: The hands-on guide to high-performance coding and algorithm optimization. This hands-on guide to software optimization introduces state-of-the-art solutions for every key aspect of software performance - both code-based and algorithm-based. Two leading HP software performance experts offer comparative optimization strategies for RISC and for the new Explicitly Parallel Instruction Computing (EPIC) design used in Intel IA-64 processors. Using many practical examples, they offer specific techniques for: Predicting and measuring performance - and identifying your best optimization opportunities Storage optimization: cache, system memory, virtual memory, and I/0 Parallel processing: distributed-memory and shared-memory (SMP and ccNUMA) Compilers and loop optimization Enhancing parallelism: compiler directives, threads, and message passing Mathematical libraries and algorithms Whether you're a developer, ISV, or technical researcher, if you need to optimize high-performance software on today's leading processors, one book delivers the advanced techniques and code examples you need: Software Optimization for High Performance Computing.

Introduction to High Performance Computing for Scientists and Engineers

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Publisher : CRC Press
ISBN 13 : 1439811938
Total Pages : 350 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Introduction to High Performance Computing for Scientists and Engineers by : Georg Hager

Download or read book Introduction to High Performance Computing for Scientists and Engineers written by Georg Hager and published by CRC Press. This book was released on 2010-07-02 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by high performance computing (HPC) experts, Introduction to High Performance Computing for Scientists and Engineers provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC. From working in a scientific computing center, the author

A Practical Approach to High-Performance Computing

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Publisher : Springer Nature
ISBN 13 : 3030275582
Total Pages : 210 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis A Practical Approach to High-Performance Computing by : Sergei Kurgalin

Download or read book A Practical Approach to High-Performance Computing written by Sergei Kurgalin and published by Springer Nature. This book was released on 2019-11-10 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book discusses the fundamentals of high-performance computing. The authors combine visualization, comprehensibility, and strictness in their material presentation, and thus influence the reader towards practical application and learning how to solve real computing problems. They address both key approaches to programming modern computing systems: multithreading-based parallelizing in shared memory systems, and applying message-passing technologies in distributed systems. The book is suitable for undergraduate and graduate students, and for researchers and practitioners engaged with high-performance computing systems. Each chapter begins with a theoretical part, where the relevant terminology is introduced along with the basic theoretical results and methods of parallel programming, and concludes with a list of test questions and problems of varying difficulty. The authors include many solutions and hints, and often sample code.

High Performance Computing and Communications

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Publisher :
ISBN 13 :
Total Pages : 156 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis High Performance Computing and Communications by :

Download or read book High Performance Computing and Communications written by and published by . This book was released on 1994 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt:

High Performance Computing and Communications

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Publisher :
ISBN 13 :
Total Pages : 288 pages
Book Rating : 4.3/5 (121 download)

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Book Synopsis High Performance Computing and Communications by : United States. Congress. House. Committee on Science, Space, and Technology. Subcommittee on Science

Download or read book High Performance Computing and Communications written by United States. Congress. House. Committee on Science, Space, and Technology. Subcommittee on Science and published by . This book was released on 1994 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt:

High Performance Cluster Computing

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Publisher : Prentice Hall
ISBN 13 :
Total Pages : 904 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis High Performance Cluster Computing by : Rajkumar Buyya

Download or read book High Performance Cluster Computing written by Rajkumar Buyya and published by Prentice Hall. This book was released on 1999 with total page 904 pages. Available in PDF, EPUB and Kindle. Book excerpt: An authoritative guide to today's revolution in "commodity supercomputing, " this book brings together more than 100 of the field's leading practitioners, providing a single source for up-to-the-minute information on virtually every key system issue associated with high-performance cluster computing.

High Performance Computing

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Publisher : CRC Press
ISBN 13 : 1420077066
Total Pages : 242 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis High Performance Computing by : John Levesque

Download or read book High Performance Computing written by John Levesque and published by CRC Press. This book was released on 2010-12-14 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: High Performance Computing: Programming and Applications presents techniques that address new performance issues in the programming of high performance computing (HPC) applications. Omitting tedious details, the book discusses hardware architecture concepts and programming techniques that are the most pertinent to application developers for achievi

Advances in High Performance Computing

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Publisher : Springer Nature
ISBN 13 : 3030553477
Total Pages : 472 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Advances in High Performance Computing by : Ivan Dimov

Download or read book Advances in High Performance Computing written by Ivan Dimov and published by Springer Nature. This book was released on 2020-08-07 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Every day we need to solve large problems for which supercomputers are needed. High performance computing (HPC) is a paradigm that allows to efficiently implement large-scale computational tasks on powerful supercomputers unthinkable without optimization. We try to minimize our effort and to maximize the achieved profit. Many challenging real world problems arising in engineering, economics, medicine and other areas can be formulated as large-scale computational tasks. The volume is a comprehensive collection of extended contributions from the High performance computing conference held in Borovets, Bulgaria, September 2019. This book presents recent advances in high performance computing. The topics of interest included into this volume are: HP software tools, Parallel Algorithms and Scalability, HPC in Big Data analytics, Modelling, Simulation & Optimization in a Data Rich Environment, Advanced numerical methods for HPC, Hybrid parallel or distributed algorithms. The volume is focused on important large-scale applications like Environmental and Climate Modeling, Computational Chemistry and Heuristic Algorithms.

Parallel Programming for Modern High Performance Computing Systems

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Publisher : CRC Press
ISBN 13 : 1351385801
Total Pages : 330 pages
Book Rating : 4.3/5 (513 download)

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Book Synopsis Parallel Programming for Modern High Performance Computing Systems by : Pawel Czarnul

Download or read book Parallel Programming for Modern High Performance Computing Systems written by Pawel Czarnul and published by CRC Press. This book was released on 2018-03-05 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: In view of the growing presence and popularity of multicore and manycore processors, accelerators, and coprocessors, as well as clusters using such computing devices, the development of efficient parallel applications has become a key challenge to be able to exploit the performance of such systems. This book covers the scope of parallel programming for modern high performance computing systems. It first discusses selected and popular state-of-the-art computing devices and systems available today, These include multicore CPUs, manycore (co)processors, such as Intel Xeon Phi, accelerators, such as GPUs, and clusters, as well as programming models supported on these platforms. It next introduces parallelization through important programming paradigms, such as master-slave, geometric Single Program Multiple Data (SPMD) and divide-and-conquer. The practical and useful elements of the most popular and important APIs for programming parallel HPC systems are discussed, including MPI, OpenMP, Pthreads, CUDA, OpenCL, and OpenACC. It also demonstrates, through selected code listings, how selected APIs can be used to implement important programming paradigms. Furthermore, it shows how the codes can be compiled and executed in a Linux environment. The book also presents hybrid codes that integrate selected APIs for potentially multi-level parallelization and utilization of heterogeneous resources, and it shows how to use modern elements of these APIs. Selected optimization techniques are also included, such as overlapping communication and computations implemented using various APIs. Features: Discusses the popular and currently available computing devices and cluster systems Includes typical paradigms used in parallel programs Explores popular APIs for programming parallel applications Provides code templates that can be used for implementation of paradigms Provides hybrid code examples allowing multi-level parallelization Covers the optimization of parallel programs

High-Performance Computing Using FPGAs

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Publisher : Springer Science & Business Media
ISBN 13 : 1461417910
Total Pages : 798 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis High-Performance Computing Using FPGAs by : Wim Vanderbauwhede

Download or read book High-Performance Computing Using FPGAs written by Wim Vanderbauwhede and published by Springer Science & Business Media. This book was released on 2013-08-23 with total page 798 pages. Available in PDF, EPUB and Kindle. Book excerpt: High-Performance Computing using FPGA covers the area of high performance reconfigurable computing (HPRC). This book provides an overview of architectures, tools and applications for High-Performance Reconfigurable Computing (HPRC). FPGAs offer very high I/O bandwidth and fine-grained, custom and flexible parallelism and with the ever-increasing computational needs coupled with the frequency/power wall, the increasing maturity and capabilities of FPGAs, and the advent of multicore processors which has caused the acceptance of parallel computational models. The Part on architectures will introduce different FPGA-based HPC platforms: attached co-processor HPRC architectures such as the CHREC’s Novo-G and EPCC’s Maxwell systems; tightly coupled HRPC architectures, e.g. the Convey hybrid-core computer; reconfigurably networked HPRC architectures, e.g. the QPACE system, and standalone HPRC architectures such as EPFL’s CONFETTI system. The Part on Tools will focus on high-level programming approaches for HPRC, with chapters on C-to-Gate tools (such as Impulse-C, AutoESL, Handel-C, MORA-C++); Graphical tools (MATLAB-Simulink, NI LabVIEW); Domain-specific languages, languages for heterogeneous computing(for example OpenCL, Microsoft’s Kiwi and Alchemy projects). The part on Applications will present case from several application domains where HPRC has been used successfully, such as Bioinformatics and Computational Biology; Financial Computing; Stencil computations; Information retrieval; Lattice QCD; Astrophysics simulations; Weather and climate modeling.

High Performance Computing and Network Program

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Publisher :
ISBN 13 :
Total Pages : 224 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis High Performance Computing and Network Program by : United States. Congress. House. Committee on Science, Space, and Technology. Subcommittee on Science

Download or read book High Performance Computing and Network Program written by United States. Congress. House. Committee on Science, Space, and Technology. Subcommittee on Science and published by . This book was released on 1993 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of the hearing transcribed in this document was to obtain the views of representatives of network user and provider communities regarding the path the National Science Foundation (NSF) is taking for recompetition of the NSFNET computer network. In particular the committee was interested in the consistency of the evolution of NSFNET with the goals and characteristics of the National Research and Education Network specified in the High Performance Computing Act. Another purpose of the hearing was to explore possible legislation that would expand the program into additional applications for broad public benefit, including education, teacher training, manufacturing technologies, medical imaging, and the creation of standards for the storage of data in digital libraries. Persons who offered testimony and prepared statements were: (1) Robert C. Heterick, Jr., EDUCOM; (2) Thomas J. Tauke, NYNEX; (3) Kenneth J. Klingenstein, University of Colorado at Boulder and Federation of American Research Networks; (4) Mitchell Kapor, Electronic Frontier Foundation; (5) Kenneth R. Kay, Computer Systems Policy Project; (6) Michael McDonald, Communications and Computer Applications in Public Health; (7) Sara A. Parker, Pennsylvania State libraries and representing the American Library Association; and (8) Charlie Bender, Coalition of Academic Supercomputer Centers. (KRN)

The Unpredictable Certainty

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Publisher : National Academies Press
ISBN 13 : 0309060362
Total Pages : 631 pages
Book Rating : 4.3/5 (9 download)

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Book Synopsis The Unpredictable Certainty by : National Research Council

Download or read book The Unpredictable Certainty written by National Research Council and published by National Academies Press. This book was released on 1998-03-05 with total page 631 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a key component of the NII 2000 project of the Computer Science and Telecommunications Board, a set of white papers that contributed to and complements the project's final report, The Unpredictable Certainty: Information Infrastructure Through 2000, which was published in the spring of 1996. That report was disseminated widely and was well received by its sponsors and a variety of audiences in government, industry, and academia. Constraints on staff time and availability delayed the publication of these white papers, which offer details on a number of issues and positions relating to the deployment of information infrastructure.

Introduction to HPC with MPI for Data Science

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Publisher : Springer
ISBN 13 : 3319219030
Total Pages : 304 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Introduction to HPC with MPI for Data Science by : Frank Nielsen

Download or read book Introduction to HPC with MPI for Data Science written by Frank Nielsen and published by Springer. This book was released on 2016-02-03 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: This gentle introduction to High Performance Computing (HPC) for Data Science using the Message Passing Interface (MPI) standard has been designed as a first course for undergraduates on parallel programming on distributed memory models, and requires only basic programming notions. Divided into two parts the first part covers high performance computing using C++ with the Message Passing Interface (MPI) standard followed by a second part providing high-performance data analytics on computer clusters. In the first part, the fundamental notions of blocking versus non-blocking point-to-point communications, global communications (like broadcast or scatter) and collaborative computations (reduce), with Amdalh and Gustafson speed-up laws are described before addressing parallel sorting and parallel linear algebra on computer clusters. The common ring, torus and hypercube topologies of clusters are then explained and global communication procedures on these topologies are studied. This first part closes with the MapReduce (MR) model of computation well-suited to processing big data using the MPI framework. In the second part, the book focuses on high-performance data analytics. Flat and hierarchical clustering algorithms are introduced for data exploration along with how to program these algorithms on computer clusters, followed by machine learning classification, and an introduction to graph analytics. This part closes with a concise introduction to data core-sets that let big data problems be amenable to tiny data problems. Exercises are included at the end of each chapter in order for students to practice the concepts learned, and a final section contains an overall exam which allows them to evaluate how well they have assimilated the material covered in the book.

Parallel and High Performance Computing

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Publisher : Simon and Schuster
ISBN 13 : 1638350388
Total Pages : 702 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Parallel and High Performance Computing by : Robert Robey

Download or read book Parallel and High Performance Computing written by Robert Robey and published by Simon and Schuster. This book was released on 2021-08-24 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parallel and High Performance Computing offers techniques guaranteed to boost your code’s effectiveness. Summary Complex calculations, like training deep learning models or running large-scale simulations, can take an extremely long time. Efficient parallel programming can save hours—or even days—of computing time. Parallel and High Performance Computing shows you how to deliver faster run-times, greater scalability, and increased energy efficiency to your programs by mastering parallel techniques for multicore processor and GPU hardware. About the technology Write fast, powerful, energy efficient programs that scale to tackle huge volumes of data. Using parallel programming, your code spreads data processing tasks across multiple CPUs for radically better performance. With a little help, you can create software that maximizes both speed and efficiency. About the book Parallel and High Performance Computing offers techniques guaranteed to boost your code’s effectiveness. You’ll learn to evaluate hardware architectures and work with industry standard tools such as OpenMP and MPI. You’ll master the data structures and algorithms best suited for high performance computing and learn techniques that save energy on handheld devices. You’ll even run a massive tsunami simulation across a bank of GPUs. What's inside Planning a new parallel project Understanding differences in CPU and GPU architecture Addressing underperforming kernels and loops Managing applications with batch scheduling About the reader For experienced programmers proficient with a high-performance computing language like C, C++, or Fortran. About the author Robert Robey works at Los Alamos National Laboratory and has been active in the field of parallel computing for over 30 years. Yuliana Zamora is currently a PhD student and Siebel Scholar at the University of Chicago, and has lectured on programming modern hardware at numerous national conferences. Table of Contents PART 1 INTRODUCTION TO PARALLEL COMPUTING 1 Why parallel computing? 2 Planning for parallelization 3 Performance limits and profiling 4 Data design and performance models 5 Parallel algorithms and patterns PART 2 CPU: THE PARALLEL WORKHORSE 6 Vectorization: FLOPs for free 7 OpenMP that performs 8 MPI: The parallel backbone PART 3 GPUS: BUILT TO ACCELERATE 9 GPU architectures and concepts 10 GPU programming model 11 Directive-based GPU programming 12 GPU languages: Getting down to basics 13 GPU profiling and tools PART 4 HIGH PERFORMANCE COMPUTING ECOSYSTEMS 14 Affinity: Truce with the kernel 15 Batch schedulers: Bringing order to chaos 16 File operations for a parallel world 17 Tools and resources for better code

Introduction to High Performance Scientific Computing

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Publisher : Lulu.com
ISBN 13 : 1257992546
Total Pages : 536 pages
Book Rating : 4.2/5 (579 download)

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Book Synopsis Introduction to High Performance Scientific Computing by : Victor Eijkhout

Download or read book Introduction to High Performance Scientific Computing written by Victor Eijkhout and published by Lulu.com. This book was released on 2010 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a textbook that teaches the bridging topics between numerical analysis, parallel computing, code performance, large scale applications.

High-Performance Modelling and Simulation for Big Data Applications

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Publisher : Springer
ISBN 13 : 3030162729
Total Pages : 364 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis High-Performance Modelling and Simulation for Big Data Applications by : Joanna Kołodziej

Download or read book High-Performance Modelling and Simulation for Big Data Applications written by Joanna Kołodziej and published by Springer. This book was released on 2019-03-25 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book was prepared as a Final Publication of the COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ project. Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations. Resolution, scale, and accuracy have become essential to predict and analyse natural and complex systems in science and engineering. When their level of abstraction raises to have a better discernment of the domain at hand, their representation gets increasingly demanding for computational and data resources. On the other hand, High Performance Computing typically entails the effective use of parallel and distributed processing units coupled with efficient storage, communication and visualisation systems to underpin complex data-intensive applications in distinct scientific and technical domains. It is then arguably required to have a seamless interaction of High Performance Computing with Modelling and Simulation in order to store, compute, analyse, and visualise large data sets in science and engineering. Funded by the European Commission, cHiPSet has provided a dynamic trans-European forum for their members and distinguished guests to openly discuss novel perspectives and topics of interests for these two communities. This cHiPSet compendium presents a set of selected case studies related to healthcare, biological data, computational advertising, multimedia, finance, bioinformatics, and telecommunications.

High Performance Computing

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Publisher : Morgan Kaufmann
ISBN 13 : 032390212X
Total Pages : 537 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis High Performance Computing by : Thomas Sterling

Download or read book High Performance Computing written by Thomas Sterling and published by Morgan Kaufmann. This book was released on 2024-09-19 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: Performance Computing: Modern Systems and Practices is a fully comprehensive and easily accessible treatment of high performance computing, covering fundamental concepts and essential knowledge while also providing key skills training. With this book, students will begin their careers with an understanding of possible directions for future research and development in HPC, domain scientists will learn how to use supercomputers as a key tool in their quest for new knowledge, and practicing engineers will discover how supercomputers can employ HPC systems and methods to the design and simulation of innovative products. This new edition has been fully updated, and has been reorganized and restructured to improve accessibility for undergraduate students while also adding trending content such as machine learning and a new chapter on CUDA. - Covers enabling technologies, system architectures and operating systems, parallel programming languages and algorithms, scientific visualization, correctness and performance debugging tools and methods, GPU accelerators, and big data problems - Provides numerous examples that explore the basics of supercomputing while also providing practical training in the real use of high-end computers - Helps users with informative and practical examples that build knowledge and skills through incremental steps - Features sidebars of background and context to present a live history and culture of this unique field