A Case for NOW (Networks of Workstations)
IEEE Micro
A First Implementation of In-Transit Buffers on Myrinet GM Software
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Core Algorithms of the Maui Scheduler
JSSPP '01 Revised Papers from the 7th International Workshop on Job Scheduling Strategies for Parallel Processing
SKaMPI: A Detailed, Accurate MPI Benchmark
Proceedings of the 5th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
Active harmony: towards automated performance tuning
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
Using Multirail Networks in High-Performance Clusters
CLUSTER '01 Proceedings of the 3rd IEEE International Conference on Cluster Computing
Selective Buddy Allocation for Scheduling Parallel Jobs on Clusters
CLUSTER '02 Proceedings of the IEEE International Conference on Cluster Computing
Supermon: A High-Speed Cluster Monitoring System
CLUSTER '02 Proceedings of the IEEE International Conference on Cluster Computing
A New Task Mapping Technique for Communication-Aware Scheduling Strategies
ICPPW '01 Proceedings of the 2001 International Conference on Parallel Processing Workshops
LCN '03 Proceedings of the 28th Annual IEEE International Conference on Local Computer Networks
Using Dynamic Kernel Instrumentation for Kernel and Application Tuning
International Journal of High Performance Computing Applications
Network performance variability in NOW clusters
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 2 - Volume 02
The portable batch scheduler and the maui scheduler on linux clusters
ALS'00 Proceedings of the 4th annual Linux Showcase & Conference - Volume 4
Power and environment aware control of Beowulf clusters
Cluster Computing
A network performance sensitivity metric for parallel applications
International Journal of High Performance Computing and Networking
A network performance sensitivity metric for parallel applications
ISPA'07 Proceedings of the 5th international conference on Parallel and Distributed Processing and Applications
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Run time variability of parallel application codes continues to be a significant challenge in clusters. We are studying run time variability at the communication level from the perspective of the application, focusing on the network. To gain insight into this problem our earlier work developed a tool to emulate parallel applications and in particular their communication. This framework, called Parallel Application Communication Emulation (PACE) has produced interesting insights regarding network performance in NOW clusters. A Parallel Application Run Time Sensitivity Evaluation (PARSE) function has been recently added to the PACE framework to study the run time effects of controlled network performance degradation. This work introduces PARSE and presents experimental results from tests conducted on several widely used parallel benchmarks and application code fragments. The results suggest that parallel applications can be classified in terms of their sensitivity to network performance variation.