Intelligent Information Processing(IIP) Lab (智能信息处理研究室) was founded by Dr. Tao Zhang in 2015.
The IIP Lab conducts research in all aspects of computer systems, with a primary focus on:
Big Data Processing
Machine Learning Algorithms and Applications
GPU Heterogeneous Computing
Intelligent Information Processing
Our research also involves other disciplines such as computer architecture and general parallel computing systems. The research themes of IIP Lab are improving the performance, scalability, productivity, availability, and reliability of distributed and centralized computer systems.
We have built a number of systems and software tools to improve the performance and engery efficiency of computer systems. Examples include a single-PC hybrid CPU and GPU graph computation platform (gGraph), a distributed graph computation platform on heterogeneous CPU and GPU cloud (HGraph), an open-source software library for characterizing and load balancing irregular applications on GPUs (cuIRRE), and two energy-efficient GPU architecture (Buddy SM) and (eDRAM-Based On-Chip storage).
Now, there are three faculty members, four master students and several undergraduate students in the lab. Our lab is supported by : Natural Science Foundation of China, Natural Science Foundation of Shanghai,Shanghai Innovation Action Plan Project, and Shanghai Educational Commission. And several collaborative research projects are going on between our lab and other research institutes including University of New Mexico, and Shanghai Jiao Tong University.