Multiple programming models are emerging to address an increased need for dynamic task parallelism in applications for multicore processors and shared-address-space parallel compu...
Yi Guo, Rajkishore Barik, Raghavan Raman, Vivek Sa...
Abstract. Database systems have been vital for all forms of data processing for a long time. In recent years, the amount of processed data has been growing dramatically, even in sm...
A framework for task assignment in heterogeneous computing systems is presented in this work. The framework is based on a learning automata model. The proposed model can be used f...
Reinforcement Learning research is traditionally devoted to solve single-task problems. Therefore, anytime a new task is faced, learning must be restarted from scratch. Recently, ...
We describe AudioCave, an environment for exploring the impact of spatialising sonified graphs on a set of numerical data comprehension tasks. Its design builds on findings regard...