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BMCBI
2011
14 years 1 months ago
Faster Smith-Waterman database searches with inter-sequence SIMD parallelisation
Background: The Smith-Waterman algorithm for local sequence alignment is more sensitive than heuristic methods for database searching, but also more time-consuming. The fastest ap...
Torbjørn Rognes
KDD
2008
ACM
174views Data Mining» more  KDD 2008»
15 years 10 months ago
Effective label acquisition for collective classification
Information diffusion, viral marketing, and collective classification all attempt to model and exploit the relationships in a network to make inferences about the labels of nodes....
Mustafa Bilgic, Lise Getoor
ISCA
2008
IEEE
112views Hardware» more  ISCA 2008»
15 years 4 months ago
Parallelism-Aware Batch Scheduling: Enhancing both Performance and Fairness of Shared DRAM Systems
In a chip-multiprocessor (CMP) system, the DRAM system is shared among cores. In a shared DRAM system, requests from a thread can not only delay requests from other threads by cau...
Onur Mutlu, Thomas Moscibroda
ASPLOS
2004
ACM
15 years 3 months ago
An ultra low-power processor for sensor networks
We present a novel processor architecture designed specifically for use in low-power wireless sensor-network nodes. Our sensor network asynchronous processor (SNAP/LE) is based on...
Virantha N. Ekanayake, Clinton Kelly IV, Rajit Man...
GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
15 years 2 months ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...