C An Extended C Language For Data Parallel Programming
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C An Extended C Language For Data Parallel Programming
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Author : J. R. Rose
language : en
Publisher:
Release Date : 1987
C An Extended C Language For Data Parallel Programming written by J. R. Rose and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with categories.
Parallel Programming Using C
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Author : Gregory V. Wilson
language : en
Publisher: MIT Press
Release Date : 1996-07-08
Parallel Programming Using C written by Gregory V. Wilson and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-07-08 with Computers categories.
Foreword by Bjarne Stroustrup Software is generally acknowledged to be the single greatest obstacle preventing mainstream adoption of massively-parallel computing. While sequential applications are routinely ported to platforms ranging from PCs to mainframes, most parallel programs only ever run on one type of machine. One reason for this is that most parallel programming systems have failed to insulate their users from the architectures of the machines on which they have run. Those that have been platform-independent have usually also had poor performance. Many researchers now believe that object-oriented languages may offer a solution. By hiding the architecture-specific constructs required for high performance inside platform-independent abstractions, parallel object-oriented programming systems may be able to combine the speed of massively-parallel computing with the comfort of sequential programming. Parallel Programming Using C++ describes fifteen parallel programming systems based on C++, the most popular object-oriented language of today. These systems cover the whole spectrum of parallel programming paradigms, from data parallelism through dataflow and distributed shared memory to message-passing control parallelism. For the parallel programming community, a common parallel application is discussed in each chapter, as part of the description of the system itself. By comparing the implementations of the polygon overlay problem in each system, the reader can get a better sense of their expressiveness and functionality for a common problem. For the systems community, the chapters contain a discussion of the implementation of the various compilers and runtime systems. In addition to discussing the performance of polygon overlay, several of the contributors also discuss the performance of other, more substantial, applications. For the research community, the contributors discuss the motivations for and philosophy of their systems. As well, many of the chapters include critiques that complete the research arc by pointing out possible future research directions. Finally, for the object-oriented community, there are many examples of how encapsulation, inheritance, and polymorphism can be used to control the complexity of developing, debugging, and tuning parallel software.
Data Parallel C
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Author : James Reinders
language : en
Publisher: Apress
Release Date : 2020-11-19
Data Parallel C written by James Reinders and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-19 with Computers categories.
Learn how to accelerate C++ programs using data parallelism. This open access book enables C++ programmers to be at the forefront of this exciting and important new development that is helping to push computing to new levels. It is full of practical advice, detailed explanations, and code examples to illustrate key topics. Data parallelism in C++ enables access to parallel resources in a modern heterogeneous system, freeing you from being locked into any particular computing device. Now a single C++ application can use any combination of devices—including GPUs, CPUs, FPGAs and AI ASICs—that are suitable to the problems at hand. This book begins by introducing data parallelism and foundational topics for effective use of the SYCL standard from the Khronos Group and Data Parallel C++ (DPC++), the open source compiler used in this book. Later chapters cover advanced topics including error handling, hardware-specific programming, communication and synchronization, and memory model considerations. Data Parallel C++ provides you with everything needed to use SYCL for programming heterogeneous systems. What You'll Learn Accelerate C++ programs using data-parallel programming Target multiple device types (e.g. CPU, GPU, FPGA) Use SYCL and SYCL compilers Connect with computing’s heterogeneous future via Intel’s oneAPI initiative Who This Book Is For Those new data-parallel programming and computer programmers interested in data-parallel programming using C++.
Data Parallel Programming On Mimd Computers
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Author : Philip J. Hatcher
language : en
Publisher: MIT Press
Release Date : 1991
Data Parallel Programming On Mimd Computers written by Philip J. Hatcher and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Computers categories.
Mathematics of Computing -- Parallelism.
C
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Author :
language : en
Publisher:
Release Date : 1992
C written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Parallel programming (Computer science) categories.
C** -- and its sequential subset C++ -- support modern programming practices and enable a single language to be used for all parts of large, complex programs and libraries. This technical report consists of three parts. The body of the report is a copy of a paper that appeared in the 5th Workshop on Languages and Compilers for Parallel Computing, Yale University, Aug. 1992 (to appear, Lecture Notes in Computer Science, Springer-Verlag). The first appendix is a detailed overview of C**, which describes the language more thoroughly than the paper. The second appendix contains several sample C** programs and some preliminary performance results."
The Data Parallel Programming Model
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Author : Guy-Rene Perrin
language : en
Publisher: Springer Science & Business Media
Release Date : 1996-09-11
The Data Parallel Programming Model written by Guy-Rene Perrin 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 1996-09-11 with Computers categories.
This monograph-like book assembles the thorougly revised and cross-reviewed lectures given at the School on Data Parallelism, held in Les Menuires, France, in May 1996. The book is a unique survey on the current status and future perspectives of the currently very promising and popular data parallel programming model. Much attention is paid to the style of writing and complementary coverage of the relevant issues throughout the 12 chapters. Thus these lecture notes are ideally suited for advanced courses or self-instruction on data parallel programming. Furthermore, the book is indispensable reading for anybody doing research in data parallel programming and related areas.
Languages And Compilers For Parallel Computing
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Author : Utpal Banerjee
language : en
Publisher: Springer Science & Business Media
Release Date : 1993-12-08
Languages And Compilers For Parallel Computing written by Utpal Banerjee 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 1993-12-08 with Computers categories.
The articles in this volume are revised versions of the best papers presented at the Fifth Workshop on Languages and Compilers for Parallel Computing, held at Yale University, August 1992. The previous workshops in this series were held in Santa Clara (1991), Irvine (1990), Urbana (1989), and Ithaca (1988). As in previous years, a reasonable cross-section of some of the best work in the field is presented. The volume contains 35 papers, mostly by authors working in the U.S. or Canada but also by authors from Austria, Denmark, Israel, Italy, Japan and the U.K.
Languages And Compilers For Parallel Computing
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Author : Vikram Adve
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-08-04
Languages And Compilers For Parallel Computing written by Vikram Adve 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 2008-08-04 with Computers categories.
This book constitutes the thoroughly refereed post-conference proceedings of the 20th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2007, held in Urbana, IL, USA, in October 2007. The 23 revised full papers presented were carefully reviewed and selected from 49 submissions. The papers are organized in topical sections on reliability, languages, parallel compiler technology, libraries, run-time systems and performance analysis, and general compiler techniques.
Task Parallel Extension Of A Data Parallel Language
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Author : Damien D. Macielinski
language : en
Publisher:
Release Date : 1994
Task Parallel Extension Of A Data Parallel Language written by Damien D. Macielinski and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Parallel programming (Computer science) categories.
Two prevalent models of parallel programming are data parallelism and task parallelism. Data parallelism is the simultaneous application of a single operation to a data set. This model fits best with regular computations. Task parallelism is the simultaneous application of possibly different operations to possibly different data sets. This fits best with irregular computations. Efficient solution of some problems require both regular and irregular computations. Implementing efficient and portable parallel solutions to these problems requires a high-level language that can accommodate both task and data parallelism. We have extended the data-parallel language Dataparallel C to include task parallelism so that programmers may now use data and task parallelism within the same program. The extension permits the nesting of data-parallel constructs inside a task-parallel framework. We present a banded linear system to analyze the benefits of our language extensions.
The Concurrent C Programming Language
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Author : Narain Gehani
language : en
Publisher: Silicon Press
Release Date : 1989
The Concurrent C Programming Language written by Narain Gehani and has been published by Silicon Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Computers categories.
Concurrent C is a superset of C that provides parallel programming facilities such as those for the declaring and creating processes, for process synchronization and interaction, and for process termination and abortion. Concurrent C was designed for the effective utilization of multiprocessors and multicomputers. Concurrent C, as a compile-time option, also works with C++, an object-oriented superset of C.