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» Increasing Concurrency in Databases Using Program Analysis
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PDPTA
1996
15 years 3 months ago
Exploiting Task-Level Parallelism Using pTask
This paper presents pTask-- a system that allows users to automatically exploit dynamic task-level parallelism in sequential array-based C programs. The system employs compiler an...
Tarek S. Abdelrahman, Sum Huynh
106
Voted
ICDM
2007
IEEE
166views Data Mining» more  ICDM 2007»
15 years 8 months ago
Mining Statistical Information of Frequent Fault-Tolerant Patterns in Transactional Databases
Constraints applied on classic frequent patterns are too strict and may cause interesting patterns to be missed. Hence, researchers have proposed to mine a more relaxed version of...
Ardian Kristanto Poernomo, Vivekanand Gopalkrishna...
156
Voted
SIGMOD
2012
ACM
345views Database» more  SIGMOD 2012»
13 years 4 months ago
Shark: fast data analysis using coarse-grained distributed memory
Shark is a research data analysis system built on a novel rained distributed shared-memory abstraction. Shark marries query processing with deep data analysis, providing a unifie...
Cliff Engle, Antonio Lupher, Reynold Xin, Matei Za...
139
Voted
EUROSYS
2010
ACM
15 years 11 months ago
Execution Synthesis: A Technique for Automated Software Debugging
Debugging real systems is hard, requires deep knowledge of the code, and is time-consuming. Bug reports rarely provide sufficient information, thus forcing developers to turn int...
Cristian Zamfir, George Candea
119
Voted
ESOP
2009
Springer
15 years 9 months ago
A Basis for Verifying Multi-threaded Programs
Abstract. Advanced multi-threaded programs apply concurrency concepts in sophisticated ways. For instance, they use fine-grained locking to increase parallelism and change locking...
K. Rustan M. Leino, Peter Müller