Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
As we reach the limits of single-core computing, we are promised more and more cores in our systems. Modern architectures include many performance counters per core, but few or no...
Paul E. West, Yuval Peress, Gary S. Tyson, Sally A...
Large-scale data analysis has become increasingly important for many enterprises. Recently, a new distributed computing paradigm, called MapReduce, and its open source implementat...
Hiding communication latency is an important optimization for parallel programs. Programmers or compilers achieve this by using non-blocking communication primitives and overlappi...
Many state-of-the-art garbage collectors are generational, collecting the young nursery objects more frequently than old objects. These collectors perform well because young objec...
Maria Jump, Stephen M. Blackburn, Kathryn S. McKin...