The STAR Lab focuses on the research, development and educational endeavors in the broad area of computing systems and applications. We perform cutting-edge research on a variety of technologies to improve the performance, energy-efficiency, reliability and security of computing systems across a growing landscape, from embedded and mobile devices to supercomputers and data-centers. Some recent focuses include machine learning accelerators, post-Moore's era architecture, extreme-scale computing, applications of AI/ML in architecture designs, and Internet of Things (IoT). Below are a few on-going and past projects.

Machine Learning Accelerators

Machine Learning Applications in Architecture

GPU Architectures and Extreme-scale computing

Harnessing Dark Silicon for Post-Moore Era Computing

Cache and Memory Bandwidth Partitioning

Deadlock-free Interconnection Networks

Application-aware Optimizations for Many-core Processors

Transactional Memory & Parallel Programming