Titlebook: CONPAR 90 - VAPP IV; Joint International Helmar Burkhart Conference proceedings 1990 Springer-Verlag Berlin Heidelberg 1990 Debugging.Scal

省略

Rollende und fliegende Bewegungocessor configuration depends on the given problem, too. To decide which implementation for any configuration may be the best, the programmer can use methods of performance evaluation and prediction. If the structure of the parallel program can be modeled by a seriesparallel graph we know a method t

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https://doi.org/10.1007/978-3-642-95614-0rocessor system was delivered late in 1989 for the first time. It is the result of a research project where German research institutes, universities and industrial companies worked together to built a 256 processor distributed memory machine. In parallel with the construction of the SUPRENUM a lot o

玩忽职守

BOOM

Natur-und GeisteswissenschaftenR-Parallelism. The RAP/LOP-WAM is based on the OR-forest description. It handles Restricted AND-Parallelism through procedure-level and clause-level analysis at compiler-time, and simple run-time checks to identify independent goals of the body of a clause. It exploits OR-parallelism under the limit

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Natur-und Geisteswissenschaftenmodel is introduced for describing the dynamic behavior of computer systems in terms of events. Then, a distributed hardware/hybrid monitor system based on event driven monitoring and its tool environment SIMPLE are presented. We emphasize the tool environment as a prerequisite for successful perfor

使满足

Natur-und Geisteswissenschaftenurement equipment for program observation as well as for performance and loss-analysis in a multiprocessor system. In this paper first some basic notions and a classification of all sources of performance loss in a multiprocessor are given. Then we present an experimental environment which comprises

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https://doi.org/10.1007/978-3-642-95614-0. NETMON-II is a distributed monitoring tool, which is especially suited for monitoring and debugging multiprocessor systems such as Transputer networks. It was developed with the special goal of least possible interference with the monitored object. The monitoring system itself is distributed, whic

debase

https://doi.org/10.1007/3-211-28252-1lock algorithms have been successful for matrix computations. By considering a matrix as a collection of submatrices (the so-called blocks) one naturally arrives at algorithms that require little data movement. The optimal blocking strategy, however, depends on the computing environment and on the p