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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...
CDC
2009
IEEE
137views Control Systems» more  CDC 2009»
14 years 10 days ago
Kernel regression for travel time estimation via convex optimization
—We develop an algorithm aimed at estimating travel time on segments of a road network using a convex optimization framework. Sampled travel time from probe vehicles are assumed ...
Sebastien Blandin, Laurent El Ghaoui, Alexandre M....
TSP
2008
109views more  TSP 2008»
13 years 7 months ago
Code Design to Optimize Radar Detection Performance Under Accuracy and Similarity Constraints
This paper deals with the design of coded waveforms which optimize radar performances in the presence of colored Gaussian disturbance. We focus on the class of linearly coded puls...
Antonio De Maio, Silvio De Nicola, Yongwei Huang, ...
CPAIOR
2006
Springer
13 years 11 months ago
The Power of Semidefinite Programming Relaxations for MAX-SAT
Recently, Linear Programming (LP)-based relaxations have been shown promising in boosting the performance of exact MAX-SAT solvers. We compare Semidefinite Programming (SDP) based ...
Carla P. Gomes, Willem Jan van Hoeve, Lucian Leahu
ASPDAC
2005
ACM
92views Hardware» more  ASPDAC 2005»
13 years 9 months ago
An LP-based methodology for improved timing-driven placement
— A method for timing driven placement is presented. The core of the approach is optimal timing-driven relaxed placement based on a linear programming (LP) formulation. The formu...
Qingzhou (Ben) Wang, John Lillis, Shubhankar Sanya...