High Performance Computing

High Performance Computing

Author: John Levesque

Publisher: CRC Press

Published: 2010-12-14

Total Pages: 244

ISBN-13: 1420077066

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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


High Performance Computing Systems and Applications

High Performance Computing Systems and Applications

Author: Robert D. Kent

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 337

ISBN-13: 1461502888

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High Performance Computing Systems and Applications contains fully refereed papers from the 15th Annual Symposium on High Performance Computing. These papers cover both fundamental and applied topics in HPC: parallel algorithms, distributed systems and architectures, distributed memory and performance, high level applications, tools and solvers, numerical methods and simulation, advanced computing systems, and the emerging area of computational grids. High Performance Computing Systems and Applications is suitable as a secondary text for graduate level courses, and as a reference for researchers and practitioners in industry.


High Performance Computing: Technology, Methods and Applications

High Performance Computing: Technology, Methods and Applications

Author: J.J. Dongarra

Publisher: Elsevier

Published: 1995-09-13

Total Pages: 437

ISBN-13: 0080553915

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High Performance Computing is an integrated computing environment for solving large-scale computational demanding problems in science, engineering and business. Newly emerging areas of HPC applications include medical sciences, transportation, financial operations and advanced human-computer interface such as virtual reality. High performance computing includes computer hardware, software, algorithms, programming tools and environments, plus visualization. The book addresses several of these key components of high performance technology and contains descriptions of the state-of-the-art computer architectures, programming and software tools and innovative applications of parallel computers. In addition, the book includes papers on heterogeneous network-based computing systems and scalability of parallel systems. The reader will find information and data relative to the two main thrusts of high performance computing: the absolute computational performance and that of providing the most cost effective and affordable computing for science, industry and business. The book is recommended for technical as well as management oriented individuals.


High-Performance Big Data Computing

High-Performance Big Data Computing

Author: Dhabaleswar K. Panda

Publisher: MIT Press

Published: 2022-08-02

Total Pages: 275

ISBN-13: 0262369427

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An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep lLearning. Over the last decade, the exponential explosion of data known as big data has changed the way we understand and harness the power of data. The emerging field of high-performance big data computing, which brings together high-performance computing (HPC), big data processing, and deep learning, aims to meet the challenges posed by large-scale data processing. This book offers an in-depth overview of high-performance big data computing and the associated technical issues, approaches, and solutions. The book covers basic concepts and necessary background knowledge, including data processing frameworks, storage systems, and hardware capabilities; offers a detailed discussion of technical issues in accelerating big data computing in terms of computation, communication, memory and storage, codesign, workload characterization and benchmarking, and system deployment and management; and surveys benchmarks and workloads for evaluating big data middleware systems. It presents a detailed discussion of big data computing systems and applications with high-performance networking, computing, and storage technologies, including state-of-the-art designs for data processing and storage systems. Finally, the book considers some advanced research topics in high-performance big data computing, including designing high-performance deep learning over big data (DLoBD) stacks and HPC cloud technologies.


Industrial Applications of High-Performance Computing

Industrial Applications of High-Performance Computing

Author: Anwar Osseyran

Publisher: CRC Press

Published: 2015-04-01

Total Pages: 398

ISBN-13: 1466596813

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Industrial Applications of High-Performance Computing: Best Global Practices offers a global overview of high-performance computing (HPC) for industrial applications, along with a discussion of software challenges, business models, access models (e.g., cloud computing), public-private partnerships, simulation and modeling, visualization, big data a


High Performance Computing

High Performance Computing

Author: Sergio Nesmachnow

Publisher: Springer Nature

Published: 2021-02-02

Total Pages: 229

ISBN-13: 3030680355

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This book constitutes revised selected papers of the 7th Latin American High Performance Computing Conference, CARLA 2020, held in Cuenca, Ecuador, in September 2020. Due to the COVID-19 pandemic the conference was held in a virtual mode. The 15 revised full papers presented were carefully reviewed and selected out of 36 submissions. The papers included in this book are organized according to the topics on ​High Performance Computing Applications; High Performance Computing and Artificial Intelligence.


A Practical Approach to High-Performance Computing

A Practical Approach to High-Performance Computing

Author: Sergei Kurgalin

Publisher: Springer Nature

Published: 2019-11-10

Total Pages: 210

ISBN-13: 3030275582

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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 Systems and Applications

High Performance Computing Systems and Applications

Author: Andrew Pollard

Publisher: Springer Science & Business Media

Published: 2006-04-18

Total Pages: 578

ISBN-13: 0306470152

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High Performance Computing Systems and Applications contains the fully refereed papers from the 13th Annual Symposium on High Performance Computing, held in Kingston, Canada, in June 1999. This book presents the latest research in HPC architectures, distributed and shared memory performance, algorithms and solvers, with special sessions on atmospheric science, computational chemistry and physics. High Performance Computing Systems and Applications is suitable as a secondary text for graduate level courses, and as a reference for researchers and practitioners in industry.


High Performance Computing in Power and Energy Systems

High Performance Computing in Power and Energy Systems

Author: Siddhartha Kumar Khaitan

Publisher: Springer Science & Business Media

Published: 2012-09-07

Total Pages: 387

ISBN-13: 364232682X

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The twin challenge of meeting global energy demands in the face of growing economies and populations and restricting greenhouse gas emissions is one of the most daunting ones that humanity has ever faced. Smart electrical generation and distribution infrastructure will play a crucial role in meeting these challenges. We would need to develop capabilities to handle large volumes of data generated by the power system components like PMUs, DFRs and other data acquisition devices as well as by the capacity to process these data at high resolution via multi-scale and multi-period simulations, cascading and security analysis, interaction between hybrid systems (electric, transport, gas, oil, coal, etc.) and so on, to get meaningful information in real time to ensure a secure, reliable and stable power system grid. Advanced research on development and implementation of market-ready leading-edge high-speed enabling technologies and algorithms for solving real-time, dynamic, resource-critical problems will be required for dynamic security analysis targeted towards successful implementation of Smart Grid initiatives. This books aims to bring together some of the latest research developments as well as thoughts on the future research directions of the high performance computing applications in electric power systems planning, operations, security, markets, and grid integration of alternate sources of energy, etc.


High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation

High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation

Author: Stephen A. Jarvis

Publisher: Springer

Published: 2015-04-20

Total Pages: 284

ISBN-13: 3319172484

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This book constitutes the thoroughly refereed proceedings of the 5th International Workshop, PMBS 2014 in New Orleans, LA, USA in November 2014. The 12 full and 2 short papers presented in this volume were carefully reviewed and selected from 53 submissions. The papers cover topics on performance benchmarking and optimization; performance analysis and prediction; and power, energy and checkpointing.