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SBBD
2003
101views Database» more  SBBD 2003»
13 years 10 months ago
Cherry Picking: A Semantic Query Processing Strategy for the Evaluation of Expensive Predicates
A common requirement of many scientific applications is the ability to process queries involving expensive predicates corresponding to user programs. Optimizing such queries is ha...
Fabio Porto, Eduardo Sany Laber, Patrick Valduriez
OOPSLA
2010
Springer
13 years 7 months ago
Instrumentation and sampling strategies for cooperative concurrency bug isolation
Fixing concurrency bugs (or crugs) is critical in modern software systems. Static analyses to find crugs such as data races and atomicity violations scale poorly, while dynamic a...
Guoliang Jin, Aditya V. Thakur, Ben Liblit, Shan L...
DSRT
2004
IEEE
14 years 28 days ago
Exploring the Spatial Density of Strategy Models in a Realistic Distributed Interactive Application
As Distributed Interactive Applications (DIAs) become increasingly more prominent in the video game industry they must scale to accommodate progressively more users and maintain a...
Damien Marshall, Declan Delaney, Séamus McL...
PPOPP
2006
ACM
14 years 3 months ago
On-line automated performance diagnosis on thousands of processes
Performance analysis tools are critical for the effective use of large parallel computing resources, but existing tools have failed to address three problems that limit their scal...
Philip C. Roth, Barton P. Miller
KDD
2010
ACM
247views Data Mining» more  KDD 2010»
13 years 11 months ago
Active learning for biomedical citation screening
Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...
Byron C. Wallace, Kevin Small, Carla E. Brodley, T...