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BMCBI
2011
14 years 3 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»
16 years 8 days 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 6 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 5 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 4 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...