Yu-Ching Hu

Yu-Ching Hu is a second-year PhD student interested/experienced in heterogeneous computing, storage systems, machine learning frameworks, data analytics, high-performance computing and performance optimization.

Education

University of California, Riverside (Ph.D., Computer Science and Engineering, 2017-present)
Advisor: Dr. Hung-Wei Tseng

University of California, San Diego (M.S., Materials Science and Engineering, 2017)

National Sun Yat-Sen University (B.S., Materials and Optoelectronic Science, 2013)

Primary Research Projects

Improving the Performance of Machine Learning Applications in Heterogeneous Computers, University of California, Riverside / North Carolina State University, Aug. 2018–present
Advisor: Dr. Hung-Wei Tseng

Near-Data Approximate Computing, University of California, Riverside / North Carolina State University, Aug. 2017–present
Advisor: Dr. Hung-Wei Tseng

Work Experience

Publications

Other Projects

Parallel Sorting with Hardware Accelerators

Data Mining on Twitter Datasets

Android Personal and Group Financial Management Application