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AMTHA : an algorithm for automatically mapping tasks to processors in heterogeneous multiprocessor architectures

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De Giusti, Laura Cristina

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Summary: An automatic task-to-processor mapping algorithm is analyzed in parallel systems that run over loosely coupled distributed architectures. The MPAHA (Model on Parallel Algorithms on Heterogeneous Architectures) model that allows predicting parallel application performance running over heterogeneous architectures is presented. In particular, the heterogeneity of both processors communications is taken into consideration. the results obtained with the MPAHA model, the AMTHA (Automatic Mapping Task on Heterogeneous Architectures) algorithm for task-toprocessors assignment is presented its implementation is analyzed. Experimental results compare execution time obtained with AMTHA mapping scheme with those obtained using the known mapping algorithm HEFT (Heterogeneous – Earliest Finish – Time), using asimple heterogeneous multicluster architecture.Finally actual lines of research are presented,focusing extensions to multicore processors Gridenvironments.

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Item type	Home library	Call number	Status	Date due	Barcode
Capítulo de libro	Biblioteca de la Facultad de Informática	A0234 (Browse shelf(Opens below))	No corresponde

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Previous	A0231 Thinking semantic wikis as learning object repositories	A0232 Parallelization analysis on clusters of multicore nodes using shared distributed memory parallel computing models	A0233 Embedding security patterns into a domain model	A0234 AMTHA : an algorithm for automatically mapping tasks to processors in heterogeneous multiprocessor architectures	A0235 Clock synchronization in clusters for performance evaluation : numeric/scientific computing	A0236 Dealing with variability in context-aware mobile software	A0237 Alfabetización Informática a sectores desfavorecidos de la sociedad utilizando software libre	Next

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An automatic task-to-processor mapping algorithm is analyzed in parallel systems that run over loosely coupled distributed architectures. The MPAHA (Model on Parallel Algorithms on Heterogeneous Architectures) model that allows predicting parallel application performance running over heterogeneous architectures is presented. In particular, the heterogeneity of both processors communications is taken into consideration. the results obtained with the MPAHA model, the AMTHA (Automatic Mapping Task on Heterogeneous Architectures) algorithm for task-toprocessors assignment is presented its implementation is analyzed. Experimental results compare execution time obtained with AMTHA mapping scheme with those obtained using the known mapping algorithm HEFT (Heterogeneous – Earliest Finish – Time), using asimple heterogeneous multicluster architecture.Finally actual lines of research are presented,focusing extensions to multicore processors Gridenvironments.

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