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workstation clusters
Based on the PVM libraries, a platform-independent version has been developed for heterogeneous workstation clusters as well as for massively parallel computers.
      
This paper presents the development of a general-purpose parallel ocean circulation model, for use on a wide range of computer platforms, from traditional scalar machines to workstation clusters and massively parallel processors.
      
The improved performance and capacity of networks has made thecombined processing power of workstation clusters a potentiallypromising avenue for solving computationally intensive problems acrosssuch distributed environments.
      
We used the GUSTO testbed provided by the Globus metacomputing project as the source of the necessary state-of-the-art computational resources, including workstation clusters.
      
The resulting implementation is concise and gives excellent parallel performance on PC- and workstation clusters.
      
A Performance Comparison of Coscheduling Strategies for Workstation Clusters
      
Workstation clusters are emerging as a general-purpose computing platform for the execution of workloads comprising parallel and sequential applications.
      
The scalability and flexibility typical of implicit coscheduling strategies makes them a very promising solution to the scheduling needs of workstation clusters.
      
Fair Scheduling of General-Purpose Workloads on Workstation Clusters
      
Input buffered switch architecture has become attractive for implementing high performance switches for workstation clusters.
      
This pilot project presents resimulation of retrospective radiosurgical case data using inverse solution optimization models running on workstation clusters and then volume rendered and simulated on the Princeton Graphics Engine Supercomputer.
      
The algorithms have been coded in Split-C and run on a variety of platforms, including the Thinking Machines CM-5, IBM SP-1 and SP-2, Cray Research T3D, Meiko Scientific CS-2, Intel Paragon, and workstation clusters.
      
A NetSolve pool will most naturally consist of independent workstations or workstation clusters.
      
All parallel and client-server applications on workstation clusters rely on the Unix socket interface as communication infrastructure.
      
As supercomputers and large workstation clusters become ubiquitous, the model preparation and data analysis tasks become even more labor intensive.
      
Direct application access to the network interface is used to achieve both lowlatency and high bandwidth using commodity workstation clusters.
      
Examples include cross-box communication on the Origins and workstation clusters1.
      
For workstation clusters, the disk and network bandwidth are the most important parameters influencing the rendering performance.
      
It is designed to run in parallel on a wide range of platforms ranging from single workstations to workstation clusters to large supercomputers.
      
Impact of Exploiting Load Imbalance on Coscheduling in Workstation Clusters.
      
 

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