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» Identifying potential parallelism via loop-centric profiling
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CF
2007
ACM
13 years 8 months ago
Identifying potential parallelism via loop-centric profiling
The transition to multithreaded, multi-core designs places a greater responsibility on programmers and software for improving performance; thread-level parallelism (TLP) will be i...
Tipp Moseley, Daniel A. Connors, Dirk Grunwald, Ra...
BMCBI
2010
156views more  BMCBI 2010»
13 years 4 months ago
Global screening of potential Candida albicans biofilm-related transcription factors via network comparison
Background: Candida albicans is a commonly encountered fungal pathogen in humans. The formation of biofilm is a major virulence factor in C. albicans pathogenesis and is related t...
Yu-Chao Wang, Chung-Yu Lan, Wen-Ping Hsieh, Luis A...
KDD
2008
ACM
206views Data Mining» more  KDD 2008»
14 years 5 months ago
Identifying biologically relevant genes via multiple heterogeneous data sources
Selection of genes that are differentially expressed and critical to a particular biological process has been a major challenge in post-array analysis. Recent development in bioin...
Zheng Zhao, Jiangxin Wang, Huan Liu, Jieping Ye, Y...
AICCSA
2006
IEEE
102views Hardware» more  AICCSA 2006»
13 years 8 months ago
An Experimental and Industrial Experience: Avoiding Denial of Service via Memory Profiling
Poor memory management leads to memory leaks, which cause significant performance degradation and failure of software. If ignored, such leaks can potentially cause security breach...
Saeed Abu-Nimeh, Suku Nair, Marco F. Marchetti
RECOMB
2008
Springer
14 years 5 months ago
Detecting Disease-Specific Dysregulated Pathways Via Analysis of Clinical Expression Profiles
We present a method for identifying connected gene subnetworks significantly enriched for genes that are dysregulated in specimens of a disease. These subnetworks provide a signat...
Igor Ulitsky, Richard M. Karp, Ron Shamir