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» Modeling Program Predictability
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IPPS
2007
IEEE
15 years 9 months ago
POET: Parameterized Optimizations for Empirical Tuning
The excessive complexity of both machine architectures and applications have made it difficult for compilers to statically model and predict application behavior. This observatio...
Qing Yi, Keith Seymour, Haihang You, Richard W. Vu...
CSB
2005
IEEE
145views Bioinformatics» more  CSB 2005»
15 years 8 months ago
Classification Methods for HIV-1 Medicated Neuronal Damage
HIV-1-associated dementia (HAD) is the most devastating disease happened in the central nervous system of AIDS patients. Neuronal damage, the early indicator of HAD, under differe...
Mengjun Wang, Jialin Zheng, Zhengxin Chen, Yong Sh...
ASPLOS
2008
ACM
15 years 5 months ago
Efficiency trends and limits from comprehensive microarchitectural adaptivity
Increasing demand for power-efficient, high-performance computing requires tuning applications and/or the underlying hardware to improve the mapping between workload heterogeneity...
Benjamin C. Lee, David Brooks
IJRR
2008
101views more  IJRR 2008»
15 years 3 months ago
Motion Planning Under Uncertainty for Image-guided Medical Needle Steering
We develop a new motion planning algorithm for a variant of a Dubins car with binary left/right steering and apply it to steerable needles, a new class of flexible beveltip medica...
Ron Alterovitz, Michael S. Branicky, Kenneth Y. Go...
ML
2006
ACM
113views Machine Learning» more  ML 2006»
15 years 2 months ago
Learning to bid in bridge
Bridge bidding is considered to be one of the most difficult problems for game-playing programs. It involves four agents rather than two, including a cooperative agent. In additio...
Asaf Amit, Shaul Markovitch