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PPOPP
1999
ACM
13 years 11 months ago
Automatic Parallelization of Divide and Conquer Algorithms
Divide and conquer algorithms are a good match for modern parallel machines: they tend to have large amounts of inherent parallelism and they work well with caches and deep memory...
Radu Rugina, Martin C. Rinard
ICDCS
1995
IEEE
13 years 11 months ago
Parallel Processing on Networks of Workstations: A Fault-Tolerant, High Performance Approach
One of the mostsoughtaftersoftware innovation of thisdecade is the construction of systems using off-the-shelf workstations that actually deliver, and even surpass, the power and ...
Partha Dasgupta, Zvi M. Kedem, Michael O. Rabin
LCPC
2000
Springer
13 years 11 months ago
Automatic Coarse Grain Task Parallel Processing on SMP Using OpenMP
This paper proposes a simple and efficient implementation method for a hierarchical coarse grain task parallel processing scheme on a SMP machine. OSCAR multigrain parallelizing c...
Hironori Kasahara, Motoki Obata, Kazuhisa Ishizaka
ICS
2007
Tsinghua U.
14 years 1 months ago
Sensitivity analysis for automatic parallelization on multi-cores
Sensitivity Analysis (SA) is a novel compiler technique that complements, and integrates with, static automatic parallelization analysis for the cases when relevant program behavi...
Silvius Rus, Maikel Pennings, Lawrence Rauchwerger
GEOINFO
2004
13 years 8 months ago
Parallel Volume Rendering for Ocean Visualization in a Cluster of PCs
Volume rendering techniques can be very useful in geographical information systems to provide meaningful and visual information about the surface and the interior of 3D datasets. ...
Alexandre Coelho, Marcio Nascimento, Cristiana Ben...