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CGO
2007
IEEE
16 years 1 months ago
Loop Optimization using Hierarchical Compilation and Kernel Decomposition
The increasing complexity of hardware features for recent processors makes high performance code generation very challenging. In particular, several optimization targets have to b...
Denis Barthou, Sébastien Donadio, Patrick C...
ICCTA
2007
IEEE
16 years 1 months ago
Point Based Representations for Hierarchical Environments
The advent of advanced graphics technologies and improved hardware has enabled the generation of highly complex models with huge number of triangles. Point-based representations a...
Kedarnath Thangudu, Lakshmi Gade, Jag Mohan Singh,...
SAC
1995
ACM
15 years 10 months ago
Load balancing in a distributed processing system for high-energy physics(UFMulti)
Experiments in High Energy Physics (HEP) generate tremendous amounts of data. For example, the accelerator at CERN is expected to generate petabytes per year. New HEP discoveries ...
Jagadeesh Kasaraneni, Theodore Johnson, Paul Avery
SAC
2010
ACM
15 years 8 months ago
Reactive parallel processing for synchronous dataflow
The control flow of common processors does not match the specific needs of reactive systems. Key issues for these systems are preemption and concurrency, combined with timing pred...
Claus Traulsen, Reinhard von Hanxleden
UAI
2003
15 years 8 months ago
Large-Sample Learning of Bayesian Networks is NP-Hard
In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...
David Maxwell Chickering, Christopher Meek, David ...