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  • Abstract - Performance Measurement and Trace Driven Simulation of Parallel CAD and Numeric Applications on a Hypercube Multicomputer
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Performance Measurement and Trace Driven Simulation of Parallel CAD and Numeric Applications on a Hypercube Multicomputer
July 1992 (vol. 3 no. 4)
pp. 451-464
ASCII Text
x 
 
J.M. Hsu, P. Banerjee, "Performance Measurement and Trace Driven Simulation of Parallel CAD and Numeric Applications on a Hypercube Multicomputer," IEEE Transactions on Parallel and Distributed Systems, vol. 3, no. 4, pp. 451-464, July, 1992.
 
 
BibTex
x
 
@article{ 10.1109/71.149963,
author = {J.M. Hsu and P. Banerjee},
title = {Performance Measurement and Trace Driven Simulation of Parallel CAD and Numeric Applications on a Hypercube Multicomputer},
journal ={IEEE Transactions on Parallel and Distributed Systems},
volume = {3},
number = {4},
issn = {1045-9219},
year = {1992},
pages = {451-464},
doi = {http://doi.ieeecomputersociety.org/10.1109/71.149963},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Parallel and Distributed Systems
TI - Performance Measurement and Trace Driven Simulation of Parallel CAD and Numeric Applications on a Hypercube Multicomputer
IS - 4
SN - 1045-9219
SP451
EP464
EPD - 451-464
A1 - J.M. Hsu,
A1 - P. Banerjee,
PY - 1992
KW - Index Termssoftware monitoring; spatial locality; parallel CAD; hypercube multicomputer; performance evaluation; workload characterization; realistic workloads; benchmarks; execution traces; parallel programs; time interval distributions; statistical functions; nonlinear regression technique; message destinations; temporal locality; message length; trace-drive simulation environment; DMA; link utilizations; digital simulation; hypercube networks; parallel programming; performance evaluation; statistical analysis
VL - 3
JA - IEEE Transactions on Parallel and Distributed Systems
ER -
 
The performance evaluation, workload characterization, and trace-driven simulation of a hypercube multicomputer running realistic workloads are presented. Eleven representative parallel applications were selected as benchmarks. Software monitoring techniques were then used to collect execution traces. Based on the measurement results, both the computation and communication behavior of these parallel programs were investigated. The various time interval distributions were modeled by statistical functions which were verified by a nonlinear regression technique using the empirical data. The temporal and spatial localities of message destinations were also studied. A model for the temporal locality of message length was introduced and used to analyze the communication traces. A trace-drive simulation environment, which uses the communication patterns of the parallel programs as inputs, was developed to study the behavior of the communication hardware under real workload. Simulation results on DMA and link utilizations are reported.

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Index Terms:
Index Termssoftware monitoring; spatial locality; parallel CAD; hypercube multicomputer; performance evaluation; workload characterization; realistic workloads; benchmarks; execution traces; parallel programs; time interval distributions; statistical functions; nonlinear regression technique; message destinations; temporal locality; message length; trace-drive simulation environment; DMA; link utilizations; digital simulation; hypercube networks; parallel programming; performance evaluation; statistical analysis
Citation:
J.M. Hsu, P. Banerjee, "Performance Measurement and Trace Driven Simulation of Parallel CAD and Numeric Applications on a Hypercube Multicomputer," IEEE Transactions on Parallel and Distributed Systems, vol. 3, no. 4, pp. 451-464, July 1992, doi:10.1109/71.149963
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