Compilers: principles, techniques, and tools
Compilers: principles, techniques, and tools
Ultracomputers: a teraflop before its time
Communications of the ACM
Introduction to parallel computing: design and analysis of algorithms
Introduction to parallel computing: design and analysis of algorithms
Gigabit networking
Parallel computing (2nd ed.): theory and practice
Parallel computing (2nd ed.): theory and practice
IEEE Spectrum
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
Performance Prediction of PVM Programs
IPPS '96 Proceedings of the 10th International Parallel Processing Symposium
Symbolic performance prediction of scalable parallel programs
IPPS '95 Proceedings of the 9th International Symposium on Parallel Processing
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
Distributed network computing over local ATM networks
IEEE Journal on Selected Areas in Communications
Resource Management Method for Cooperative Web Computing on Computational Grid
GRID '00 Proceedings of the First IEEE/ACM International Workshop on Grid Computing
Assessing contention effects on MPI_alltoall communications
GPC'07 Proceedings of the 2nd international conference on Advances in grid and pervasive computing
Total exchange performance modelling under network contention
PPAM'05 Proceedings of the 6th international conference on Parallel Processing and Applied Mathematics
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The advantages of workstation clusters as a parallel computing platform include a superior price-performance ratio, availability, scalability, and ease of incremental growth. However, the performance of traditional LAN technologies such as Ethernet and FDDI rings are insufficient for many parallel applications. This paper describes APACHE (Automated Pvm Application CHaracterization Environment), an automated analysis system that uses an application-independent model for predicting the impact of ATM on the execution time of iterative parallel applications. APACHE has been used to predict the performance of several core applications that form the basis for many real scientific and engineering problems. We present a comparison of the performance predicted by APACHE with observed execution times to demonstrate the accuracy of our model. Finally, we present a method for a simple cost-benefit analysis that can be used to determine whether an investment in ATM equipment is justified for a particular workstation cluster environment.