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WSC
2008
13 years 9 months ago
Approximate dynamic programming: Lessons from the field
Approximate dynamic programming is emerging as a powerful tool for certain classes of multistage stochastic, dynamic problems that arise in operations research. It has been applie...
Warren B. Powell
CEE
2007
107views more  CEE 2007»
13 years 7 months ago
A non-preemptive scheduling algorithm for soft real-time systems
Real-time systems are often designed using preemptive scheduling and worst-case execution time estimates to guarantee the execution of high priority tasks. There is, however, an i...
Wenming Li, Krishna M. Kavi, Robert Akl
CORR
2010
Springer
128views Education» more  CORR 2010»
13 years 7 months ago
A Performance Study of GA and LSH in Multiprocessor Job Scheduling
Multiprocessor task scheduling is an important and computationally difficult problem. This paper proposes a comparison study of genetic algorithm and list scheduling algorithm. Bo...
S. R. Vijayalakshmi, G. Padmavathi
ISLPED
2004
ACM
159views Hardware» more  ISLPED 2004»
14 years 28 days ago
Dynamic voltage scaling for systemwide energy minimization in real-time embedded systems
Traditionally, dynamic voltage scaling (DVS) techniques have focused on minimizing the processorenergy consumption as opposed to the entire system energy consumption. The slowdown...
Ravindra Jejurikar, Rajesh K. Gupta
ASPDAC
2008
ACM
135views Hardware» more  ASPDAC 2008»
13 years 9 months ago
Block cache for embedded systems
On chip memories provide fast and energy efficient storage for code and data in comparison to caches or external memories. We present techniques and algorithms that allow for an au...
Dominic Hillenbrand, Jörg Henkel