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» Feature selection in scientific applications
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VLSID
2004
IEEE
125views VLSI» more  VLSID 2004»
14 years 10 months ago
Energy-Optimizing Source Code Transformations for OS-driven Embedded Software
The increasing software content of battery-powered embedded systems has fueled much interest in techniques for developing energyefficient embedded software. Source code transforma...
Yunsi Fei, Srivaths Ravi, Anand Raghunathan, Niraj...
IPPS
2009
IEEE
14 years 4 months ago
Annotation-based empirical performance tuning using Orio
In many scientific applications, significant time is spent tuning codes for a particular highperformance architecture. Tuning approaches range from the relatively nonintrusive (...
Albert Hartono, Boyana Norris, Ponnuswamy Sadayapp...
ISCA
2009
IEEE
158views Hardware» more  ISCA 2009»
14 years 4 months ago
Boosting single-thread performance in multi-core systems through fine-grain multi-threading
Industry has shifted towards multi-core designs as we have hit the memory and power walls. However, single thread performance remains of paramount importance since some applicatio...
Carlos Madriles, Pedro López, Josep M. Codi...
RTSS
2006
IEEE
14 years 3 months ago
MCGREP - A Predictable Architecture for Embedded Real-Time Systems
Real-time systems design involves many important choices, including that of the processor. The fastest processors achieve performance by utilizing architectural features that make...
Jack Whitham, Neil C. Audsley
BMCBI
2010
153views more  BMCBI 2010»
13 years 10 months ago
MimoSA: a system for minimotif annotation
Background: Minimotifs are short peptide sequences within one protein, which are recognized by other proteins or molecules. While there are now several minimotif databases, they a...
Jay Vyas, Ronald J. Nowling, Thomas Meusburger, Da...