Ming Fang
I am a master student in School of Computer Science at Carnegie Mellon University. My interest is in building systems for managing and processing Big Data.
Research
- Peloton
- An experimental distributed main memory database for OLTP and OLAP workloads.
- Weiss
- A system-initiative, plan-based dialogue system for subjective conversation.
- cuSpark
- A GPU-accelerated functional parallel data processing framework. 3rd place, 2015 CMU Parallelism Competition.