The communication challenge for MPP: Intel Paragon and Meiko CS-2
Parallel Computing
In search of clusters (2nd ed.)
In search of clusters (2nd ed.)
Modeling Communication Overhead: MPI and MPL Performance on the IBM SP2
IEEE Parallel & Distributed Technology: Systems & Technology
Characterization of Message-Passing Overhead on the AP3000 Multicomputer
ICPP '02 Proceedings of the 2001 International Conference on Parallel Processing
Message Passing Evaluation and Analysis on Cray T3E and SGI Origin 2000 Systems
Euro-Par '99 Proceedings of the 5th International Euro-Par Conference on Parallel Processing
Benchmarking and Performance Evaluation of NCHC PC Cluster
HPC '00 Proceedings of the The Fourth International Conference on High-Performance Computing in the Asia-Pacific Region-Volume 2 - Volume 2
Communication overhead for space science applications on the Beowulf parallel workstation
HPDC '95 Proceedings of the 4th IEEE International Symposium on High Performance Distributed Computing
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
Performance Analysis of a Myrinet-Based Cluster
Cluster Computing
Paper: Performance parameters and benchmarking of supercomputers
Parallel Computing
An improved model for predicting HPL performance
GPC'07 Proceedings of the 2nd international conference on Advances in grid and pervasive computing
Modeling energy consumption for master---slave applications
The Journal of Supercomputing
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The communication plays a role in the overall system performance. The characterization of the communication overhead is very important to estimate the global performance of parallel applications and to detect possible bottlenecks. In this work, we evaluate and model the performance of the message-passing libraries on NCHC Formosa PC Cluster, a large cluster system with dual processor nodes and connected by Gigabits Ethernet networks. Our aim is to fairly characterize the communication primitives using general models and performance metrics. We use the formulae to estimate the communication time of a real application program for molecular dynamics simulation. We hope that it is able to provide some useful information for performance prediction and scientific computing.