Metric learning is a fundamental problem in computer vision. Different features and algorithms may tackle a problem from different angles, and thus often provide complementary inf...
Bo Wang, Jiayan Jiang, Wei Wang 0028, Zhi-Hua Zhou...
While trace cache, value prediction, and prefetching have been shown to be effective in the single-threaded superscalar, there has been no analysis of these techniques in a Simulta...
We study the problem of monitoring concurrent program runs for atomicity violations. Unearthing fundamental results behind scheduling algorithms in database control, we build space...
The limiting factor for efficiency of sparse linear solvers is the memory bandwidth. In this work, we utilize GPU’s high memory bandwidth for implementation of a sparse iterative...
This work presents an implementation of Neocognitron Neural Network, using a high performance computing architecture based on GPU (Graphics Processing Unit). Neocognitron is an ar...