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» Evaluating Parallel Computing Systems in Bioinformatics
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BIBM
2010
IEEE
222views Bioinformatics» more  BIBM 2010»
14 years 7 months ago
CEO a cloud epistasis computing model in GWAS
The 1000 Genome project has made available a large number of single nucleotide polymorphisms (SNPs) for genome-wide association studies (GWAS). However, the large number of SNPs ha...
Zhengkui Wang, Yue Wang, Kian-Lee Tan, Limsoon Won...
ISHPC
2003
Springer
15 years 2 months ago
Evaluating Heuristic Scheduling Algorithms for High Performance Parallel Processing
Most cluster systems used in high performance computing do not allow process relocation at run-time. Finding an allocation that results in minimal completion time is NP-hard and (n...
Lars Lundberg, Magnus Broberg, Kamilla Klonowska
IPPS
2007
IEEE
15 years 3 months ago
Dependability Modeling and Analysis in Dynamic Systems
Dependability evaluation is an important, often indispensable, step in (critical) systems design and analysis pro
Salvatore Distefano, Antonio Puliafito
JSSPP
2005
Springer
15 years 3 months ago
Pitfalls in Parallel Job Scheduling Evaluation
There are many choices to make when evaluating the performance of a complex system. In the context of parallel job scheduling, one must decide what workload to use and what measur...
Eitan Frachtenberg, Dror G. Feitelson
ICLP
1997
Springer
15 years 1 months ago
Parallel Evaluation Strategies for Functional Logic Languages
We introduce novel, sound, complete, and locally optimal evaluation strategies for functional logic programming languages. Our strategies combine, in a non-trivial way, two landma...
Sergio Antoy, Rachid Echahed, Michael Hanus