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» Data parallelism in bioinformatics workflows using Hydra
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TC
2010
13 years 5 months ago
Network-on-Chip Hardware Accelerators for Biological Sequence Alignment
—The most pervasive compute operation carried out in almost all bioinformatics applications is pairwise sequence homology detection (or sequence alignment). Due to exponentially ...
Souradip Sarkar, Gaurav Ramesh Kulkarni, Partha Pr...
BMCBI
2008
108views more  BMCBI 2008»
13 years 7 months ago
SPRINT: A new parallel framework for R
Background: Microarray analysis allows the simultaneous measurement of thousands to millions of genes or sequences across tens to thousands of different samples. The analysis of t...
Jon Hill, Matthew Hambley, Thorsten Forster, Murie...
ESCIENCE
2006
IEEE
14 years 1 months ago
CIMA Based Remote Instrument and Data Access: An Extension into the Australian e-Science Environment
The Common Instrument Middleware Architecture (CIMA) is being used as a core component of a portal based remote instrument access system being developed as an Australian e-Science...
Ian M. Atkinson, Douglas du Boulay, Clinton Chee, ...
CCGRID
2008
IEEE
14 years 2 months ago
Scheduling Asymmetric Parallelism on a PlayStation3 Cluster
Understanding the potential and implications of asymmetric multi-core processors for cluster computing is necessary, as these processors are rapidly becoming mainstream components...
Filip Blagojevic, Matthew Curtis-Maury, Jae-Seung ...
CCGRID
2006
IEEE
14 years 1 months ago
SAHA: A Scheduling Algorithm for Security-Sensitive Jobs on Data Grids
Security-sensitive applications that access and generate large data sets are emerging in various areas such as bioinformatics and high energy physics. Data grids provide data-inte...
Tao Xie 0004, Xiao Qin