نتایج جستجو برای: parallel workstation

تعداد نتایج: 231183  

1994
Abdelsalam Heddaya Kihong Park

For communication-intensive parallel applications, the maximum degree of concurrency achievable is limited by the communication throughput made available by the network. In previous work [HPS94], we showed experimentally that the performance of certain parallel applications running on a workstation network can be improved signi cantly if a congestion control protocol is used to enhance network ...

1999
Matthias Gimbel Michael Philippsen Bernhard Haumacher Peter C. Lockemann Walter F. Tichy

The exploitation of hidden information from large datasets by means of data mining techniques su ers from long response times. We address this problem by using the processing power of workstation clusters and have studied the performance of OLAP queries as a rst step towards a portable data mining platform. The results of our study suggest that with the availability of parallel workstation clus...

1998
Jean-Baptiste Vicaire Loïc Prylli Georges Perrot Bernard Tourancheau

Thesee is a 3D panel method code, which calculates the characteristic of a wing in an inviscid, incompressible, irrotational, and steady airrow, in order to design new paragliders and sails. In this paper, we present the parallelization of Thesee for low cost work-station/PC clusters. Thesee has been parallelized using the ScaLAPACK library routines in a systematic manner that lead to a low cos...

1993
Gang Cheng Kim Mills Geoffrey C. Fox

Financial modeling represents a promising industry application of high performance computing. In previous work, parallel stock option pricing models were developed for the Connection Machine-2 and DECmpp-12000. These parallel model run approximately two orders of magnitude faster than sequential models on high-speed workstations. To further develop this application, a portable, workstation base...

1996
Daniel A. Menascé Amar Rao

Networks of workstations NOWs are an alternative to supercomputers when it comes to running parallel applications In most environments users of a workstation use less than of the available CPU cycles The remaining capacity can be used to support tasks of a parallel application This paper presents a hybrid analytic and simulation model that can be used to predict the performance of parallel appl...

1998
Olaf Arndt Bernd Freisleben Thilo Kielmann Frank Thilo

Trying to exploit the idle computing power of workstation networks for parallel applications requires means for dynamic workload scheduling. In this paper, we present the features of the Winner resource management system developed for this purpose. Winner relies on an elaborate technique for accurately measuring the currently available computing speed of a workstation, particularly in the prese...

Journal: :Softw., Pract. Exper. 1991
Jeff Magee Shing-Chi Cheung

Clusters of workstations connected by local area networks are in common use in many organizations. The combined processing power of these clusters is rarely exploited owing to the lack of suitable parallel algorithms. The paper describes a parallel programming paradigm called supervisor–worker, suitable for the workstation environment, which can be used to speed up the execution of a large clas...

1996
Jeffrey M. Squyres Brian C. McCandless Andrew Lumsdaine

Many image processing tasks exhibit a high degree of data locality and parallelism and map quite readily to specialized massively parallel computing hardware. However, as workstation clusters are becoming a viable and economical parallel computing resource, it is important to understand how to use these environments for parallel image processing as well. In this paper we discuss our implementat...

1995
Jeffrey M. Squyres Andrew Lumsdaine Robert L. Stevenson

Many image processing tasks exhibit a high degree of data locality and parallelism and map quite readily to specialized massively parallel computing hardware. However, as network technologies continue to mature, workstation clusters are becoming a viable and economical parallel computing resource, so it is important to understand how to use these environments for parallel image processing as we...

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