— In this paper, we propose a novel, energy aware scheduling algorithm for applications running on DVS-enabled multiprocessor systems, which exploits variation in execution times...
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
In an out-of-order issue processor, instructions are dynamically reordered and issued to function units in their dataready order rather than their original program order to achiev...
This paper proposes a simple and efficient implementation method for a hierarchical coarse grain task parallel processing scheme on a SMP machine. OSCAR multigrain parallelizing c...
Virtual execution environments have become increasingly useful in system implementation, with dynamic translation techniques being an important component for performance-critical ...