In the era of multicores, many applications that tend to require substantial compute power and data crunching (aka Throughput Computing Applications) can now be run on desktop PCs...
Chi-Keung Luk, Ryan Newton, William Hasenplaugh, M...
Distributed computing on heterogeneous nodes, or grid computing, provides a substantial increase in computational power available for many applications. This paper reports our expe...
- This paper introduces a neural network training tool through computer networks. The following algorithms, such as neuron by neuron (NBN) [1][2], error back propagation (EBP), Lev...
Many activities in computer graphics can be regarded as experiments on virtual objects or models. In the process of experimentation the existing models are gradually improved and ...
This paper describes a taxonomy for a ubiquitous computing software stack called UbiqStack. Through the lens of the UbiqStack taxonomy we survey a variety of subsystems designed to...
Martin Modahl, Bikash Agarwalla, T. Scott Saponas,...