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TOG
2012
230views Communications» more  TOG 2012»
11 years 10 months ago
Decoupling algorithms from schedules for easy optimization of image processing pipelines
Using existing programming tools, writing high-performance image processing code requires sacrificing readability, portability, and modularity. We argue that this is a consequenc...
Jonathan Ragan-Kelley, Andrew Adams, Sylvain Paris...
RTSS
2005
IEEE
14 years 1 months ago
WCET Centric Data Allocation to Scratchpad Memory
Scratchpad memory is a popular choice for on-chip storage in real-time embedded systems. The allocation of code/data to scratchpad memory is performed at compile time leading to p...
Vivy Suhendra, Tulika Mitra, Abhik Roychoudhury, T...
PLDI
1996
ACM
13 years 11 months ago
Fast, Effective Dynamic Compilation
Dynamic compilation enables optimizations based on the values of invariant data computed at run-time. Using the values of these runtime constants, a dynamic compiler can eliminate...
Joel Auslander, Matthai Philipose, Craig Chambers,...
ICML
1997
IEEE
14 years 8 months ago
Predicting Multiprocessor Memory Access Patterns with Learning Models
Machine learning techniques are applicable to computer system optimization. We show that shared memory multiprocessors can successfully utilize machine learning algorithms for mem...
M. F. Sakr, Steven P. Levitan, Donald M. Chiarulli...
CORR
2011
Springer
167views Education» more  CORR 2011»
13 years 2 months ago
Fast global convergence of gradient methods for high-dimensional statistical recovery
Many statistical M-estimators are based on convex optimization problems formed by the weighted sum of a loss function with a norm-based regularizer. We analyze the convergence rat...
Alekh Agarwal, Sahand Negahban, Martin J. Wainwrig...