Performance modeling of parallel systems with flexible precision

Hawaii, USA January 04-January 07

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http://doi.ieeecomputersociety.org/10.1109/HICSS.1995.375513

28th Hawaii International Conference ...

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	ASCII Text	x
	A.J.C. Van Gemund, H. Jonkers, G.L. Reijns, "Performance modeling of parallel systems with flexible precision," Hawaii International Conference on System Sciences, pp. 444, 28th Hawaii International Conference on System Sciences (HICSS'95), 1995.

	BibTex	x
	@article{ 10.1109/HICSS.1995.375513, author = {A.J.C. Van Gemund and H. Jonkers and G.L. Reijns}, title = {Performance modeling of parallel systems with flexible precision}, journal ={Hawaii International Conference on System Sciences}, volume = {0}, year = {1995}, issn = {1060-3425}, pages = {444}, doi = {http://doi.ieeecomputersociety.org/10.1109/HICSS.1995.375513}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Hawaii International Conference on System Sciences TI - Performance modeling of parallel systems with flexible precision SN - 1060-3425 SP EP A1 - A.J.C. Van Gemund, A1 - H. Jonkers, A1 - G.L. Reijns, PY - 1995 KW - software performance evaluation; program compilers; parallel processing; system monitoring; simulation languages; performance modeling; parallel systems; flexible precision; performance prediction; low-precision compile-time methods; high-cost high-precision methods; modeling formalisms; task graphs; queueing networks; simulation languages; performance prediction technique; model reduction calculus; static analysis; simulation VL - 0 JA - Hawaii International Conference on System Sciences ER -

A.J.C. Van Gemund, Fac. of Electr. Eng., Delft Univ. of Technol., Netherlands

H. Jonkers, Fac. of Electr. Eng., Delft Univ. of Technol., Netherlands

G.L. Reijns, Fac. of Electr. Eng., Delft Univ. of Technol., Netherlands

The spectrum of approaches to performance prediction of parallel systems ranges from low-cost, low-precision compile-time methods to high-cost, high-precision methods with an equal variety of underlying modeling formalisms (e.g., task graphs, queueing networks, simulation languages) which are mutually incompatible. A performance prediction technique is described which unifies a number of existing approaches within one formalism. As the analysis is based on a model reduction calculus the approach allows for a flexible trade-off between precision and cost, effectively ranging from simulation to static analysis.

Index Terms:

software performance evaluation; program compilers; parallel processing; system monitoring; simulation languages; performance modeling; parallel systems; flexible precision; performance prediction; low-precision compile-time methods; high-cost high-precision methods; modeling formalisms; task graphs; queueing networks; simulation languages; performance prediction technique; model reduction calculus; static analysis; simulation

Citation:

A.J.C. Van Gemund, H. Jonkers, G.L. Reijns, "Performance modeling of parallel systems with flexible precision," hicss, pp.444, 28th Hawaii International Conference on System Sciences (HICSS'95), 1995

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