Many-task computing aims to bridge the gap between two computing paradigms, high throughput computing and high performance computing. Many-task computing denotes highperformance co...
Ioan Raicu, Ian T. Foster, Mike Wilde, Zhao Zhang,...
A number of deterministic parallel programming models with strong safety guarantees are emerging, but similar support for nondeterministic algorithms, such as branch and bound sea...
Robert L. Bocchino Jr., Stephen Heumann, Nima Hona...
Numerous tools have been proposed to help developers fix software errors and inefficiencies. Widely-used techniques such as memory checking suffer from overheads that limit thei...
Joseph L. Greathouse, Hongyi Xin, Yixin Luo, Todd ...
In this paper, we present a graphics streaming system for remote gaming in a local area network. The framework aims at creating a networked game platform for home and hotel enviro...
Searching the space of policies directly for the optimal policy has been one popular method for solving partially observable reinforcement learning problems. Typically, with each ...