The proceedings contain 23 papers. The topics discussed include: performance analysis of distributed applications by suit ability functions;beyond the data parallel paradigm: issues and options;on the implementation o...
ISBN:
(纸本)0818649003
The proceedings contain 23 papers. The topics discussed include: performance analysis of distributed applications by suit ability functions;beyond the data parallel paradigm: issues and options;on the implementation of virtual shared memory;structured parallelprogramming;MANIFOLDA: programming model for massive parallelism;massivelyparallelprogramming using object parallelism;reduced interprocessor-communication architecture for supporting programmingmodels;a programming model for reconfigurable mesh based parallelcomputers;and modeling parallelcomputers as memory hierarchies.
作者：
Brandes, T.
P.O. Box 1316 St. Augustin53731 Germany
The currently dominant message-passing programming paradigm for MIMD systems is difficult to use and error prone. One approach that avoids explicit communication is the data-parallelprogramming model. This model stan...
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The article deals with rationale and concepts of a programming model for massive parallelism. We mention the basic properties of massivelyparallel applications and develop a programming model for data parallelism on ...
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parallelprogramming is a difficult task involving many complex issues such as resource allocation, and process coordination. We propose a solution to this problem based on the use of a repertoire of parallel algorith...
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Because of its superior performance and cost-effectiveness, parallel computing will become the future standard, provided we have the appropriate programmingmodels, tools and compilers needed to make parallel computer...
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We introduce the concept of object parallelism. Object parallelism offers a unified model in comparison with traditional parallelisation techniques such as data parallelism and algorithmic parallelism. In addition, tw...
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My principle answer is: yes, but it depends. parallelization of symbolic applications is possible, but only for certain classes of applications. Distributed memory may prevent parallelization in some cases where the r...
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Because of the lack of the software tools to assist with concurrent programming, programming for parallelcomputers has been a significant technical problem for a diverse range of users. We are concentrating on techni...
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Systolic transformation techniques are used for parallelization of regular loop programs. After a short introduction to systolic transformation, an experimental compiler system is presented that generates parallel C c...
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