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» Evaluating Parallel Computing Systems in Bioinformatics
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HPCA
2007
IEEE
15 years 10 months ago
Evaluating MapReduce for Multi-core and Multiprocessor Systems
This paper evaluates the suitability of the MapReduce model for multi-core and multi-processor systems. MapReduce was created by Google for application development on data-centers...
Colby Ranger, Ramanan Raghuraman, Arun Penmetsa, G...
HPCN
1995
Springer
15 years 1 months ago
A hierarchical approach to workload characterization for parallel systems
Performance evaluation studies are to be an integral part of the design and tuning of parallel applications. We propose a hierarchical approach to the systematic characterization o...
Maria Calzarossa, Alessandro P. Merlo, Daniele Tes...
ARC
2007
Springer
123views Hardware» more  ARC 2007»
15 years 1 months ago
Multiple Sequence Alignment Using Reconfigurable Computing
The alignment of multiple protein (or DNA) sequences is a current problem in Bioinformatics. ClustalW is the most popular heuristic algorithm for multiple sequence alignment. Pairw...
Carlos R. Erig Lima, Heitor S. Lopes, Maiko R. Mor...
PDP
1996
IEEE
15 years 1 months ago
Application-Dependent Performability Evaluation of Fault-Tolerant Multiprocessors
A case study of performance and dependability evaluation of fault-tolerant multiprocessors is presented. Two specific architectures are analyzed taking into account system functio...
Stefan Dalibor, A. Hein, Wolfgang Hohl
HPCA
1997
IEEE
15 years 1 months ago
Global Address Space, Non-Uniform Bandwidth: A Memory System Performance Characterization of Parallel Systems
Many parallel systems offer a simple view of memory: all storage cells are addresseduniformly. Despite a uniform view of the memory, the machines differsignificantly in theirmemo...
Thomas Stricker, Thomas R. Gross