Bøger i Scientific and Engineering Computation serien

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. 

This volume, the definitive reference manual for the latest version of MPI-1, contains a complete specification of the MPI Standard.

A variety of programming models relevant to scientists explained, with an emphasis on how programming constructs map to parts of the computer.

An overview of the most prominent contemporary parallel processing programming models, written in a unique tutorial style.

This book is a comprehensive introduction to all the components of a high-performance parallel linear algebra library, as well as a guide to the PLAPACK infrastructure.

This book makes readily available information on many aspects of the design and use of multicomputer networks, including machine organization, system software, and application programs.

This collection of articles documents the design of one such computer, a single instruction multiple data stream (SIMD) class supercomputer with 16,834 processing units capable of over 6 billion 8 bit operations per second.

Fifteen original contributions from experts in high-speed computation on multi-processor architectures, concurrent programming and parallel algorithms.

The Fortran 95 Handbook, a comprehensive reference work for the Fortran programmer and implementor, contains a complete description of the Fortran 95 programming language. The chapters follow the same sequence of topics as the Fortran 95 standard, but contain a more thorough and informal explanation of the language's features and many more examples. Appendices describe all the intrinsic features, the deprecated features, and the complete syntax of the language. The Handbook also includs a feature not found in the standard: a cross reference of all the syntax terms, giving the rule that defines each term and all the rules that reference it. Major new features added in Fortran 95 are the 'FORALL' statement and construct, pure and elemental procedures, and structure and pointer default initialization.

A guide to advanced features of MPI, reflecting the latest version of the MPI standard, that takes an example-driven, tutorial approach.

The thoroughly updated edition of a guide to parallel programming with MPI, reflecting the latest specifications, with many detailed examples. This book offers a thoroughly updated guide to the MPI (Message-Passing Interface) standard library for writing programs for parallel computers. Since the publication of the previous edition of Using MPI, parallel computing has become mainstream. Today, applications run on computers with millions of processors; multiple processors sharing memory and multicore processors with multiple hardware threads per core are common. The MPI-3 Forum recently brought the MPI standard up to date with respect to developments in hardware capabilities, core language evolution, the needs of applications, and experience gained over the years by vendors, implementers, and users. This third edition of Using MPI reflects these changes in both text and example code. The book takes an informal, tutorial approach, introducing each concept through easy-to-understand examples, including actual code in C and Fortran. Topics include using MPI in simple programs, virtual topologies, MPI datatypes, parallel libraries, and a comparison of MPI with sockets. For the third edition, example code has been brought up to date; applications have been updated; and references reflect the recent attention MPI has received in the literature. A companion volume, Using Advanced MPI, covers more advanced topics, including hybrid programming and coping with large data.