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» New Challenges in Parallel Optimization
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IJPP
2011
115views more  IJPP 2011»
12 years 11 months ago
Milepost GCC: Machine Learning Enabled Self-tuning Compiler
Tuning compiler optimizations for rapidly evolving hardware makes porting and extending an optimizing compiler for each new platform extremely challenging. Iterative optimization i...
Grigori Fursin, Yuriy Kashnikov, Abdul Wahid Memon...
APPROX
2005
Springer
136views Algorithms» more  APPROX 2005»
14 years 1 months ago
What About Wednesday? Approximation Algorithms for Multistage Stochastic Optimization
The field of stochastic optimization studies decision making under uncertainty, when only probabilistic information about the future is available. Finding approximate solutions to...
Anupam Gupta, Martin Pál, R. Ravi, Amitabh ...
HICSS
2009
IEEE
122views Biometrics» more  HICSS 2009»
14 years 3 months ago
GrayWulf: Scalable Software Architecture for Data Intensive Computing
Big data presents new challenges to both cluster infrastructure software and parallel application design. We present a set of software services and design principles for data inte...
Yogesh Simmhan, Roger S. Barga, Catharine van Inge...
IPPS
2009
IEEE
14 years 2 months ago
Validating Wrekavoc: A tool for heterogeneity emulation
Experimental validation and testing of solutions designed for heterogeneous environment is a challenging issue. Wrekavoc is a tool for performing such validation. It runs unmodi...
Olivier Dubuisson, Jens Gustedt, Emmanuel Jeannot
ICPADS
2008
IEEE
14 years 2 months ago
Query Management in a Sensor Environment
Traditional sensor network deployments consisted of fixed infrastructures and were relatively small in size. More and more, we see the deployment of ad-hoc sensor networks with h...
Martin F. O'Connor, Vincent Andrieu, Mark Roantree