This page is obsolete. Please refer to my LinkedIn page instead.
I have graduated and joined AMD as an ASIC/Layout Design Engineer. I received my PhD from Northeastern University. My advisor was Dr. David Kaeli.
My research interests include GPU computing, computer architecture, and machine learning. I design the scalar-vector GPU architectures to take advantage of compiler- and architecture-level scalar opportunities in GPU compute applications, improving both performance and power efficiency. I also work on parallel and distributed machine learning algorithms targeting GPUs. Furthermore, I have a great deal of hands-on experience on GPU architecture modeling and simulation.
I am teaching CUDA programming and GPU architecture to undergraduate and graduate students at Northeastern University in Spring 2016.
I am the teaching assistant for a graduate course on Operating Systems at Northeastern University in Spring 2016.
I taught OpenCL programming and GPU architecture to undergraduate students at Northeastern University in Spring 2015.
I assisted Professor Kaeli to teach GPU programming to undergraduate students at Northeastern University in Spring 2011.