Current Advisees

PhD students

Paola Buitrago (co-advised with J. Moura)
Peter Oostema
Sanil Rao
Eric Tang
Larry Tang (co-advised with K. Mai)
Guanglin Xu (co-advised with J. Hoe)
Naifeng Zhang

Postdocs

Dr. Het Mankad

Alumni

Berkin Akin (PhD, 2015), Dissertation: A Formal Approach to Memory Access Optimization: Data Layout, Reorganization, and Near-Data Processing
Christos Angelopoulos (MS, 2012), Thesis: Automatic Program Generation for GPUs
Paul Brouwer (MS)
Tao Cui (PhD, 2013), Dissertation: Power System Probabilistic and Security Analysis using Commodity High Performance Computing Systems
Qi Guo (Postdoctoral, 2014-2015)
Anuva Kulkarni (PhD, 2020), Dissertation: An Approach for Large-Scale Three-Dimensional FFT-Based Approximate Convolutions on GPUs
Scott Mionis (MS 2021)
Thom Popovici (PhD, 2018), Dissertation: An Approach to Specifying and Automatically Optimizing Fourier Transform Based Operations
Fazle Sadi (PhD, 2018), Dissertation: Accelerating Sparse Matrix Kernels with Co-Optimized Architecture
Richard Veras (PhD, 2017), Dissertation: The Automatic Generation of High-Performance Graph Analytic Code using Spiral
Wei Yu (PhD, 2010), Dissertation: Performance Portable Tracking of Evolving Surfaces
Vadim Zaliva (PhD, 2020), Dissertation: HELIX: From Math to Verified Code
Jiyuan Zhang (PhD, 2020), Dissertation: Accelerating the "Motifs" of Machine Learning Applications on Modern Processors
Qiuling Zhu (PhD, 2013), Dissertation: Application Specific Logic in Memory

Interested in becoming part of the team? Please read here carefully.