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105
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IPPS
1998
IEEE
15 years 6 months ago
Random Sampling Techniques in Parallel Computation
Abstract. Random sampling is an important tool in the design of parallel algorithms. Using random sampling it is possible to obtain simple parallel algorithms which are e cient in ...
Rajeev Raman
141
Voted
PLDI
2012
ACM
13 years 5 months ago
Parallelizing top-down interprocedural analyses
Modularity is a central theme in any scalable program analysis. The core idea in a modular analysis is to build summaries at procedure boundaries, and use the summary of a procedu...
Aws Albarghouthi, Rahul Kumar, Aditya V. Nori, Sri...
PPOPP
2012
ACM
13 years 10 months ago
Deterministic parallel random-number generation for dynamic-multithreading platforms
Existing concurrency platforms for dynamic multithreading do not provide repeatable parallel random-number generators. This paper proposes that a mechanism called pedigrees be bui...
Charles E. Leiserson, Tao B. Schardl, Jim Sukha
PVLDB
2010
118views more  PVLDB 2010»
15 years 28 days ago
Ten Thousand SQLs: Parallel Keyword Queries Computing
Keyword search in relational databases has been extensively studied. Given a relational database, a keyword query finds a set of interconnected tuple structures connected by fore...
Lu Qin, Jefferey Yu, Lijun Chang
140
Voted
CODES
2010
IEEE
15 years 17 days ago
Automatic parallelization of embedded software using hierarchical task graphs and integer linear programming
The last years have shown that there is no way to disregard the advantages provided by multiprocessor System-on-Chip (MPSoC) architectures in the embedded systems domain. Using mu...
Daniel Cordes, Peter Marwedel, Arindam Mallik