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Author: Publisher: ISBN: Category : Languages : en Pages :
Book Description
Aims to develop a distributed virtual shared memory (DVSM) environment for a network of UNIX-based workstations and the CS-2. Reveals that the Shared Memory on Distributed Architectures (SODA) project is led by Meiko Scientific together with Telmat, SICS, GMD and ONERA. The shared memory programming model can be used for direct application porting and as a target for parallelizing compilers.
Author: Publisher: ISBN: Category : Languages : en Pages :
Book Description
Aims to develop a distributed virtual shared memory (DVSM) environment for a network of UNIX-based workstations and the CS-2. Reveals that the Shared Memory on Distributed Architectures (SODA) project is led by Meiko Scientific together with Telmat, SICS, GMD and ONERA. The shared memory programming model can be used for direct application porting and as a target for parallelizing compilers.
Author: Jelica Protic Publisher: John Wiley & Sons ISBN: 9780818677373 Category : Computers Languages : en Pages : 384
Book Description
The papers present in this text survey both distributed shared memory (DSM) efforts and commercial DSM systems. The book discusses relevant issues that make the concept of DSM one of the most attractive approaches for building large-scale, high-performance multiprocessor systems. The authors provide a general introduction to the DSM field as well as a broad survey of the basic DSM concepts, mechanisms, design issues, and systems. The book concentrates on basic DSM algorithms, their enhancements, and their performance evaluation. In addition, it details implementations that employ DSM solutions at the software and the hardware level. This guide is a research and development reference that provides state-of-the art information that will be useful to architects, designers, and programmers of DSM systems.
Author: Institute for Computer Applications in Science and Engineering Publisher: ISBN: Category : Languages : en Pages : 24
Book Description
Programming nonshared memory systems is more difficult than programming shared memory systems, since there is no support for shared data structures. Current programming languages for distributed memory architectures force the user to decompose all data structures into separate pieces, with each owned by one of the processors in the machine, and with all communication explicitly specified by low-level message-passing primitives. This paper presents a new programming environment for distributed memory architectures, providing a global name space and allowing direct access to remote parts of data values. We describe the analysis and program transformations required to implement this environment, and present the efficiency of the resulting code on the NCUBE/7 and IPSC/2 hypercubes. (kr).
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Author: Eva Kühn
Author: Arvin Park
Author: Jelica Protic
Author: Institute for Computer Applications in Science and Engineering
Author: Steven K. Reinhardt
Author: Michael Manzke
Author: Jonathan Kepecs
Author: William Harold Schroeder
Author: Muhammad Aurang Zaib