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Advanced Computational Infrastructures for Parallel and Distributed Adaptive Applications
  • Language: en
  • Pages: 542

Advanced Computational Infrastructures for Parallel and Distributed Adaptive Applications

A unique investigation of the state of the art in design, architectures, and implementations of advanced computational infrastructures and the applications they support Emerging large-scale adaptive scientific and engineering applications are requiring an increasing amount of computing and storage resources to provide new insights into complex systems. Due to their runtime adaptivity, these applications exhibit complicated behaviors that are highly dynamic, heterogeneous, and unpredictable—and therefore require full-fledged computational infrastructure support for problem solving, runtime management, and dynamic partitioning/balancing. This book presents a comprehensive study of the design...

Introduction to Parallel Processing
  • Language: en
  • Pages: 512

Introduction to Parallel Processing

THE CONTEXT OF PARALLEL PROCESSING The field of digital computer architecture has grown explosively in the past two decades. Through a steady stream of experimental research, tool-building efforts, and theoretical studies, the design of an instruction-set architecture, once considered an art, has been transformed into one of the most quantitative branches of computer technology. At the same time, better understanding of various forms of concurrency, from standard pipelining to massive parallelism, and invention of architectural structures to support a reasonably efficient and user-friendly programming model for such systems, has allowed hardware performance to continue its exponential growth...

Parallel and Distributed Processing
  • Language: en
  • Pages: 1194

Parallel and Distributed Processing

This book constitutes the refereed proceedings of 10 international workshops held in conjunction with the merged 1998 IPPS/SPDP symposia, held in Orlando, Florida, US in March/April 1998. The volume comprises 118 revised full papers presenting cutting-edge research or work in progress. In accordance with the workshops covered, the papers are organized in topical sections on reconfigurable architectures, run-time systems for parallel programming, biologically inspired solutions to parallel processing problems, randomized parallel computing, solving combinatorial optimization problems in parallel, PC based networks of workstations, fault-tolerant parallel and distributed systems, formal methods for parallel programming, embedded HPC systems and applications, and parallel and distributed real-time systems.

Euro-Par 2005 Parallel Processing
  • Language: en
  • Pages: 1311

Euro-Par 2005 Parallel Processing

Euro-Par 2005 was the eleventh conference in the Euro-Par series. It was organized by the Centre for Informatics and Information Technology (CITI) and the Department of Informatics of the Faculty of Science and Technology of Universidade Nova de Lisboa, at the Campus of Monte de Caparica.

Network and Parallel Computing
  • Language: en
  • Pages: 277

Network and Parallel Computing

This book constitutes the proceedings of the 18th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2021, which was held in Paris, France during November 3-5, 2021. The 20 papers presented in this volume were carefully reviewed and selected from 62 submissions. They were organized in topical sections as follows: algorithms and applications; system software and resource management; storage; and networks and communications.

High Level Data Partitioning For Parallel Computing on Heterogeneous Hierarchical Platforms
  • Language: en
  • Pages: 205
Eleventh International Parallel Processing Symposium
  • Language: en
  • Pages: 765

Eleventh International Parallel Processing Symposium

Proceedings -- Parallel Computing.

Euro-Par 2021: Parallel Processing Workshops
  • Language: en
  • Pages: 568

Euro-Par 2021: Parallel Processing Workshops

This book constitutes revised selected papers from the workshops held at the 27th International Conference on Parallel and Distributed Computing, Euro-Par 2021, which took place in Portugal, in August 2021. The workshops were held virtually due to the coronavirus pandemic. The 39 full papers presented in this volume were carefully reviewed and selected from numerous submissions. The papers cover all aspects of parallel and distributed processing. These range from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to full-edged applications, from architecture, compiler, language and interface design and implementation to tools, support infrastructures, and application performance aspects.

Advances in Computers
  • Language: en
  • Pages: 303

Advances in Computers

This series, since its first volume in 1960 and now the oldest series still being published, covers new developments in computer technology. Each volume contains 5 to 7 chapters, and 3 volumes are produced annually. Most chapters present an overview of a current subfield within computer science, including many citations and often new developments in the field by the authors of the individual chapters. Topics include hardware, software, web technology, communications, theoretic underpinnings of computing and novel applications of computers. The book series is a valuable addition to university courses that emphasize the topics under discussion in that particular volume, as well as belonging on the bookshelf of industrial practitioners who need to implement many of the technologies that are described. - In-depth surveys and tutorials on new computer technology - Well-known authors and researchers in the field - Extensive bibliographies with most chapters - Many of the volumes are devoted to single themes or subfields of computer science

Multicore Computing
  • Language: en
  • Pages: 451

Multicore Computing

  • Type: Book
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  • Published: 2013-12-12
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  • Publisher: CRC Press

Every area of science and engineering today has to process voluminous data sets. Using exact, or even approximate, algorithms to solve intractable problems in critical areas, such as computational biology, takes time that is exponential in some of the underlying parameters. Parallel computing addresses this issue and has become affordable with the