An analysis of the impact of MPI overlap and independent progress
Proceedings of the 18th annual international conference on Supercomputing
A Hardware Acceleration Unit for MPI Queue Processing
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
Enhancing NIC Performance for MPI using Processing-in-Memory
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 9 - Volume 10
Analysis of Design Considerations for Optimizing Multi-Channel MPI over InfiniBand
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 9 - Volume 10
International Journal of High Performance Computing Applications
Optimizing communication overlap for high-speed networks
Proceedings of the 12th ACM SIGPLAN symposium on Principles and practice of parallel programming
Overcoming the processor communication overhead in MPI applications
SpringSim '07 Proceedings of the 2007 spring simulation multiconference - Volume 2
Challenges and issues in benchmarking MPI
EuroPVM/MPI'06 Proceedings of the 13th European PVM/MPI User's Group conference on Recent advances in parallel virtual machine and message passing interface
ACM Transactions on Architecture and Code Optimization (TACO) - Special Issue on High-Performance Embedded Architectures and Compilers
A fast and resource-conscious MPI message queue mechanism for large-scale jobs
Future Generation Computer Systems
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It is well known that traditional micro-benchmarks do not fully capture the salient architectural features that impact application performance. Even worse, micro-benchmarks that target MPI and the communications sub-system do not accurately represent the way that applications use MPI. For example, traditional MPI latency benchmarks time a ping-pong communication with one send and one receive on each of two nodes. The time to post the receive is never counted as part of the latency. This scenario is not even marginally representative of most applications. Two new micro-benchmarks are presented here that analyze network latency in a way that more realistically represents the way that MPI is typically used. These benchmarks are used to evaluate modern high-performance networks, including Quadrics, InfiniBand, and Myrinet.