Dynamic remote memory acquisition for parallel data mining on ATM-connected PC cluster
ICS '99 Proceedings of the 13th international conference on Supercomputing
High-cost CFD on a low-cost cluster
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
SC '97 Proceedings of the 1997 ACM/IEEE conference on Supercomputing
IPPS '96 Proceedings of the 10th International Parallel Processing Symposium
An MPI Implementation on the Top of the Virtual Interface Architecture
Proceedings of the 6th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
A Design Study of Alternative Network Topologies for the Beowulf Parallel Workstation
HPDC '96 Proceedings of the 5th IEEE International Symposium on High Performance Distributed Computing
Commodity Clusters: Performance Comparison Between PC's and Workstations
HPDC '96 Proceedings of the 5th IEEE International Symposium on High Performance Distributed Computing
Proceedings of the 20th annual international conference on Supercomputing
Research works on cluster computing and storage area network
Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication
An improved model for predicting HPL performance
GPC'07 Proceedings of the 2nd international conference on Advances in grid and pervasive computing
Euro-Par'06 Proceedings of the 12th international conference on Parallel Processing
Modeling message-passing overhead on NCHC formosa PC cluster
GPC'06 Proceedings of the First international conference on Advances in Grid and Pervasive Computing
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The Beowulf parallel workstation combines 16 PC-compatible processing subsystems and disk drives using dual Ethernet networks to provide a single-user environment with 1 Gops peak performance, half a Gbyte of disk storage, and up to 8 times the disk I/O bandwidth of conventional workstations. The Beowulf architecture establishes a new operating point in price-performance for single-user environments requiring high disk capacity and bandwidth. The Beowulf research project is investigating the feasibility of exploiting mass market commodity computing elements in support of Earth and space science requirements for large data-set browsing and visualization, simulation of natural physical processes, and assimilation of remote sensing data. This paper reports the findings from a series of experiments for characterizing the Beowulf dual channel communication over-head. It is shown that dual networks can sustain 70% greater throughput than a single network alone but that bandwidth achieved is more highly sensitive to message size than to the number of messages at peak demand. While overhead is shown to be high for global synchronization, its overall impact on scalability of real world applications for computational fluid dynamics and N-body gravitational simulation is shown to be modest.