Quantitative analysis of parallelism and data movement properties across the Berkeley computational motifs

Authors:
Victoria Caparrós Cabezas;Phillip Stanley-Marbell
Affiliations:
IBM Research --- Zürich, Säumerstrasse, Rüschlikon, Switzerland;IBM Research --- Zürich, Säumerstrasse, Rüschlikon, Switzerland
Venue:
Proceedings of the 8th ACM International Conference on Computing Frontiers
Year:
2011

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Abstract

This work presents the first thorough quantitative study of the available instruction-level parallelism, basic-block-granularity thread parallelism, and data movement, across the Berkeley dwarfs/computational motifs. Although this classification was intended to group applications with common computation and (albeit coarse-grained) communication patterns, the applications analyzed exhibit a wide range of available machine-extractable parallelism and data motion within and across dwarfs.