A static performance estimator to guide data partitioning decisions
PPOPP '91 Proceedings of the third ACM SIGPLAN symposium on Principles and practice of parallel programming
A static parameter based performance prediction tool for parallel programs
ICS '93 Proceedings of the 7th international conference on Supercomputing
Parallel computing (2nd ed.): theory and practice
Parallel computing (2nd ed.): theory and practice
Performance prediction of parallel systems with scalable specifications—methodology and case study
ACM SIGMETRICS Performance Evaluation Review
PVM: Parallel virtual machine: a users' guide and tutorial for networked parallel computing
PVM: Parallel virtual machine: a users' guide and tutorial for networked parallel computing
Analytical performance prediction of data-parallel programs
Analytical performance prediction of data-parallel programs
Performance prediction and tuning of parallel programs
Performance prediction and tuning of parallel programs
Multivariate statistical techniques for parallel performance prediction
HICSS '95 Proceedings of the 28th Hawaii International Conference on System Sciences
Multivariate statistical techniques for parallel performance prediction
HICSS '95 Proceedings of the 28th Hawaii International Conference on System Sciences
Xab: A Tool for Monitoring PVM Programs
Xab: A Tool for Monitoring PVM Programs
HeNCE: A Heterogeneous Network Computing Environment
HeNCE: A Heterogeneous Network Computing Environment
Overview of VPE: A Visual Environment for Message-Passing Parallel Programming
Overview of VPE: A Visual Environment for Message-Passing Parallel Programming
Predicting parallel applications performance on non-dedicated cluster platforms
ICS '98 Proceedings of the 12th international conference on Supercomputing
Network performance modeling for PVM clusters
Supercomputing '96 Proceedings of the 1996 ACM/IEEE conference on Supercomputing
Heterogeneous System Performance Prediction and Analysis Using PS
IEEE Concurrency
On Supernode Transformation with Minimized Total Running Time
IEEE Transactions on Parallel and Distributed Systems
PaCT '999 Proceedings of the 5th International Conference on Parallel Computing Technologies
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
Performance analysis of distributed iterative linear solvers
MMACTE'05 Proceedings of the 7th WSEAS International Conference on Mathematical Methods and Computational Techniques In Electrical Engineering
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As workstation clusters gain popularity as a parallel computing platform, there is an increasing need for performance tools that support these platforms. Performance prediction is important for performance analysis of scalable parallel applications. Although there are several performance tools available that work with PVM programs, none are capable of performance prediction. We have developed the APACHE (Automated PVM Application Characterization Environment) performance prediction system for PVM programs running on workstation clusters. We review the system implementation and present some experimental results obtained with the system.