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...
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...
Multiprocessor task scheduling is an important and computationally difficult problem. This paper proposes a comparison study of genetic algorithm and list scheduling algorithm. Bo...
Traditionally, dynamic voltage scaling (DVS) techniques have focused on minimizing the processorenergy consumption as opposed to the entire system energy consumption. The slowdown...
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...