Exploiting the full computational power of current hierarchical multiprocessor machines requires a very careful distribution of threads and data among the underlying non-uniform ar...
Abstract--Recent years have witnessed the emergence of numerous new Internet services for mobile users. Supporting mobile applications via public WiFi networks has received signifi...
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...
This paper investigates some power efficient data cache designs that try to significantly reduce the cache energy consumption, both static and dynamic, with a minimal impact in pe...
Associative memories based on DNA-affinity have been proposed [2]. Here, the performance, efficiency, reliability of DNA-based memories is quantified through simulations in silico....