Partially Observable Markov Decision Processes (POMDP) provide a standard framework for sequential decision making in stochastic environments. In this setting, an agent takes actio...
The growing demand for large-scale data mining and data analysis applications has led both industry and academia to design new types of highly scalable data-intensive computing pl...
Yingyi Bu, Bill Howe, Magdalena Balazinska, Michae...
With the growing complexity in consumer embedded products and the improvements in process technology, Multi-Processor SystemOn-Chip (MPSoC) architectures have become widespread. T...
David Atienza, Pablo Garcia Del Valle, Giacomo Pac...
This paper argues for an alternative way of designing coordination models for parallel and distributed environments based on a complete symmetry between and decoupling of producers...
With the development of information technology and the emergence of electronic market places, great business opportunities are created with reduced spatial restraints, lowered sea...