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» Identifying potential parallelism via loop-centric profiling
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ICFP
2007
ACM
14 years 5 months ago
Feedback directed implicit parallelism
In this paper we present an automated way of using spare CPU resources within a shared memory multi-processor or multi-core machine. Our approach is (i) to profile the execution o...
Tim Harris, Satnam Singh
BMCBI
2007
154views more  BMCBI 2007»
13 years 5 months ago
h-Profile plots for the discovery and exploration of patterns in gene expression data with an application to time course data
Background: An ever increasing number of techniques are being used to find genes with similar profiles from microarray studies. Visualization of gene expression profiles can aid t...
Yvonne E. Pittelkow, Susan R. Wilson
CLUSTER
2007
IEEE
13 years 9 months ago
Identifying energy-efficient concurrency levels using machine learning
Abstract-- Multicore microprocessors have been largely motivated by the diminishing returns in performance and the increased power consumption of single-threaded ILP microprocessor...
Matthew Curtis-Maury, Karan Singh, Sally A. McKee,...
NAR
2008
175views more  NAR 2008»
13 years 5 months ago
Onto-CC: a web server for identifying Gene Ontology conceptual clusters
The Gene Ontology (GO) vocabulary has been extensively explored to analyze the functions of coexpressed genes. However, despite its extended use in Biology and Medical Sciences, t...
Rocío Romero-Záliz, Coral del Val, J...
BMCBI
2006
148views more  BMCBI 2006»
13 years 5 months ago
Exploiting the full power of temporal gene expression profiling through a new statistical test: Application to the analysis of m
Background: The identification of biologically interesting genes in a temporal expression profiling dataset is challenging and complicated by high levels of experimental noise. Mo...
Veronica Vinciotti, Xiaohui Liu, Rolf Turk, Emile ...