The complexity of computational grid applications and their environments has been increased due to the heterogeneity of resources; complexity, continuous changes of the applicatio...
Yoonhee Kim, Ilkyeun Ra, Sung-Yong Park, Byoung uk...
The rapid advancements of networking technology have boosted potential bandwidth to the point that the cabling is no longer the bottleneck. Rather, the bottlenecks lie at the cros...
Patrick Crowley, Marc E. Fiuczynski, Jean-Loup Bae...
Abstract: Existing multicore systems already provide deep levels of thread parallelism. Hybrid programming models and composability of parallel libraries are very active areas of r...
Costin Iancu, Steven Hofmeyr, Filip Blagojevic, Yi...
In the paper the problem of processor/compiler codesign for digital signal processing and embedded SYstems is discussed. The main principle we follow is the top-down approach char...
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...