Paper Info
Title
Quantitative analysis of parallelism and data movement properties across the Berkeley computational motifs
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.
Year
DOI
Venue
2011
10.1145/2016604.2016625
Conf. Computing Frontiers
Keywords
Field
DocType
available instruction-level parallelism,communication pattern,data movement,data motion,computational motif,common computation,data movement property,group application,quantitative analysis,available machine-extractable parallelism,basic-block-granularity thread parallelism,thorough quantitative study,berkeley computational motif,instruction level parallelism
Instruction-level parallelism,Task parallelism,Computer science,Parallel computing,Thread (computing),Data parallelism,Computation
Conference
Citations 
PageRank 
References 
0
0.34
2
Authors
2
Name
Order
Citations
PageRank
Victoria Caparros Cabezas1252.79
Phillip Stanley-Marbell221236.03