Predicting the best mapping for efficient exploitation of task and data parallelism

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2790, Issue , 2004, Pages 218-223

  Guirado, Fernando ^a   Ripoll, Ana ^b   Roig, Concepció ^a   Yuan, Xiao ^b   Luque, Emilio ^b  

^a UNIVERSITY OF LLEIDA   (Spain)

^b UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE PROCESSING; MAPPING;

DATA PARALLELISM; DISTRIBUTED SYSTEMS; IMAGE PROCESSING APPLICATIONS; PARALLEL PROGRAM; PARALLELIZING; SIMULATION ENVIRONMENT; TASK PARALLELISM;

MESSAGE PASSING;

EID: 35048851153     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Article

References (5)

1. Rauber T. and Rünger G.:Load Balancing Schemes for Extrapolation Methods. Concurrency: Practice and Experience, vol. 9. n. 3, pp: 181-202. 1997.
2. Subhlok J. and Vongran G.:Optimal Use of Mixed Task and Data Parallelism for Pipelined Computations. J. Par. Distr. Computing, vol. 60. pp 297-319. 2000.
3. Guirado F.:ESPPADA: Simulation Environment for Parallel Programs in Distributed Architectures. Master thesis (in Spanish). Computer Science Dep. Universidad Autónoma de Barcelona. 2001.
4. Yuan X., Roig C., Ripoll A., Senar M.A., Guirado F. and Luque E.:AMEEDA: A General-Purpose Mapping Tool for Parallel Applications on Dedicated Clusters. Proc. Euro-Par'02. LNCS vol. 2400. pp: 248-252. 2002.
5. Roig C., Ripoll A., Senar M.A., Guirado F. and Luque E.:A New Model for Static Mapping of Parallel Applications with Task and Data Parallelism. IEEE Proc. of IPDPS-2002 Conf. ISBN: 0-7695-1573-8. Apr. 2002.