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CVPR
2012
IEEE
13 years 4 months ago
Unsupervised metric fusion by cross diffusion
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...
ARCS
2006
Springer
15 years 5 months ago
Do Trace Cache, Value Prediction and Prefetching Improve SMT Throughput?
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...
Chen-Yong Cher, Il Park, T. N. Vijaykumar
CAV
2008
Springer
96views Hardware» more  CAV 2008»
15 years 3 months ago
Monitoring Atomicity in Concurrent Programs
We study the problem of monitoring concurrent program runs for atomicity violations. Unearthing fundamental results behind scheduling algorithms in database control, we build space...
Azadeh Farzan, P. Madhusudan
ICCS
2009
Springer
15 years 8 months ago
Fast Conjugate Gradients with Multiple GPUs
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...
Ali Cevahir, Akira Nukada, Satoshi Matsuoka
SBACPAD
2008
IEEE
249views Hardware» more  SBACPAD 2008»
15 years 8 months ago
Processing Neocognitron of Face Recognition on High Performance Environment Based on GPU with CUDA Architecture
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...
Gustavo Poli, José Hiroki Saito, Joã...