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PVLDB
2008
182views more  PVLDB 2008»
15 years 5 months ago
SCOPE: easy and efficient parallel processing of massive data sets
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, pr...
Ronnie Chaiken, Bob Jenkins, Per-Åke Larson,...
TDSC
2010
119views more  TDSC 2010»
15 years 1 months ago
On the General Applicability of Instruction-Set Randomization
We describe Instruction-Set Randomization (ISR), a general approach for safeguarding systems against any type of code-injection attack. We apply Kerckhoffs' principle to creat...
Stephen W. Boyd, Gaurav S. Kc, Michael E. Locasto,...
ASPLOS
2011
ACM
14 years 10 months ago
Specifying and checking semantic atomicity for multithreaded programs
In practice, it is quite difficult to write correct multithreaded programs due to the potential for unintended and nondeterministic interference between parallel threads. A funda...
Jacob Burnim, George C. Necula, Koushik Sen
PPOPP
2011
ACM
14 years 9 months ago
GRace: a low-overhead mechanism for detecting data races in GPU programs
In recent years, GPUs have emerged as an extremely cost-effective means for achieving high performance. Many application developers, including those with no prior parallel program...
Mai Zheng, Vignesh T. Ravi, Feng Qin, Gagan Agrawa...
ASPLOS
2012
ACM
14 years 2 months ago
Aikido: accelerating shared data dynamic analyses
Despite a burgeoning demand for parallel programs, the tools available to developers working on shared-memory multicore processors have lagged behind. One reason for this is the l...
Marek Olszewski, Qin Zhao, David Koh, Jason Ansel,...