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» Exploiting nonstationarity for performance prediction
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APCSAC
2005
IEEE
15 years 3 months ago
An Integrated Partitioning and Scheduling Based Branch Decoupling
Conditional branch induced control hazards cause significant performance loss in modern out-of-order superscalar processors. Dynamic branch prediction techniques help alleviate th...
Pramod Ramarao, Akhilesh Tyagi
BMCBI
2008
100views more  BMCBI 2008»
14 years 10 months ago
Hotspot Hunter: a computational system for large-scale screening and selection of candidate immunological hotspots in pathogen p
Background: T-cell epitopes that promiscuously bind to multiple alleles of a human leukocyte antigen (HLA) supertype are prime targets for development of vaccines and immunotherap...
Guanglan Zhang, Asif M. Khan, Kellathur N. Sriniva...
ISCA
1995
IEEE
110views Hardware» more  ISCA 1995»
15 years 1 months ago
Optimization of Instruction Fetch Mechanisms for High Issue Rates
Recent superscalar processors issue four instructions per cycle. These processors are also powered by highly-parallel superscalar cores. The potential performance can only be expl...
Thomas M. Conte, Kishore N. Menezes, Patrick M. Mi...
UAI
2004
14 years 11 months ago
A Bayesian Approach toward Active Learning for Collaborative Filtering
Collaborative filtering is a useful technique for exploiting the preference patterns of a group of users to predict the utility of items for the active user. In general, the perfo...
Rong Jin, Luo Si
AAAI
2010
14 years 7 months ago
Latent Class Models for Algorithm Portfolio Methods
Different solvers for computationally difficult problems such as satisfiability (SAT) perform best on different instances. Algorithm portfolios exploit this phenomenon by predicti...
Bryan Silverthorn, Risto Miikkulainen