Tsung-Kai Lin

Support Vector Machines on GPU with Sparse Matrix Format

Tsung-Kai Lin, Shao-Yi Chien
2010 Ninth International Conference on Machine…
2010

Emerging general-purpose Graphics Processing Unit (GPU) provides a multi-core platform for wide applications, including machine learning algorithms. In this paper, we proposed several techniques to accelerate Support Vector Machines (SVM) on GPUs. Sparse matrix format is introduced into parallel SVM to achieve better performance. Experimental results show… (More)

Real-time Motion Estimation for 1080p videos on graphics processing units with shared memory optimization

Shang-Te Yang, Tsung-Kai Lin, Shao-Yi Chien
2009 IEEE Workshop on Signal Processing Systems
2009

Motion Estimation plays an important role in many applications. A shared-memory-optimized implementation of motion estimation is studied in this work, where bank conflict is minimized and bank occupancy is maximized. Experimental results shows that at most 38 times speedup can be achieved compared with a 3GHz CPU. Moreover, based on the optimization… (More)

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