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» A New Approach for Speeding Up Enumeration Algorithms
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ISLPED
2007
ACM
117views Hardware» more  ISLPED 2007»
14 years 11 months ago
Power signal processing: a new perspective for power analysis and optimization
To address the productivity bottlenecks in power analysis and optimization of modern systems, we propose to treat power as a signal and leverage the rich set of signal processing ...
Quming Zhou, Lin Zhong, Kartik Mohanram
SIGMOD
2005
ACM
220views Database» more  SIGMOD 2005»
15 years 10 months ago
Sampling Algorithms in a Stream Operator
Complex queries over high speed data streams often need to rely on approximations to keep up with their input. The research community has developed a rich literature on approximat...
Theodore Johnson, S. Muthukrishnan, Irina Rozenbau...
BMCBI
2007
233views more  BMCBI 2007»
14 years 10 months ago
160-fold acceleration of the Smith-Waterman algorithm using a field programmable gate array (FPGA)
Background: To infer homology and subsequently gene function, the Smith-Waterman (SW) algorithm is used to find the optimal local alignment between two sequences. When searching s...
Isaac T. S. Li, Warren Shum, Kevin Truong
CC
2006
Springer
108views System Software» more  CC 2006»
15 years 1 months ago
Efficient Flow-Sensitive Interprocedural Data-Flow Analysis in the Presence of Pointers
This paper presents a new worklist algorithm that significantly speeds up a large class of flow-sensitive data-flow analyses, including typestate error checking and pointer analysi...
Teck Bok Tok, Samuel Z. Guyer, Calvin Lin
ECAI
2010
Springer
14 years 11 months ago
Case-Based Multiagent Reinforcement Learning: Cases as Heuristics for Selection of Actions
This work presents a new approach that allows the use of cases in a case base as heuristics to speed up Multiagent Reinforcement Learning algorithms, combining Case-Based Reasoning...
Reinaldo A. C. Bianchi, Ramon López de M&aa...