Performance prediction of parallel processing systems: the PAMELA methodology
ICS '93 Proceedings of the 7th international conference on Supercomputing
PM: An Operating System Coordinated High Performance Communication Library
HPCN Europe '97 Proceedings of the International Conference and Exhibition on High-Performance Computing and Networking
A Comparison of Data-Parallel Collective Communication Performance and Its Application
HPC-ASIA '97 Proceedings of the High-Performance Computing on the Information Superhighway, HPC-Asia '97
Validation of Dimemas Communication Model for MPI Collective Operations
Proceedings of the 7th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
A Comparison of Data-Parallel Collective Communication Performance and Its Application
HPC-ASIA '97 Proceedings of the High-Performance Computing on the Information Superhighway, HPC-Asia '97
| Hi-index | 0.00 |
Collective communications such as broadcast and reduction are commonly used in data parallel programs. It is important to understand the performance of such primitive communications to characterize parallel systems and analyze the performance of parallel applications running on specific parallel systems. We measured the performance of collective communication operations on several multi-processor systems. In this paper, we report experimental results for collective communication performance on distributed memory systems. We also describes the performance prediction of data parallel programs using the performance of the primitives.