Adwait Jog

About

GPUs and accelerators are the engines of modern AI and scientific computing. My research asks how to make them faster, more secure, and more reliable, and answers with new architectures, tools, and hard-won insights: from multi-GPU interconnects and memory hierarchies, to confidential computing and resilience, to simulators that predict how AI workloads will run on tomorrow’s hardware.

I am an Associate Professor (with tenure) and Anita Jones Faculty Fellow in Computer Science at the University of Virginia, where I lead the Insight Computer Architecture Lab. Our work appears at ISCA, MICRO, HPCA, and ASPLOS, the flagship conferences in computer architecture and systems. Our Ph.D. graduates now shape the field as faculty and as engineers at AMD and NVIDIA. I received the NSF CAREER Award, a Google Research Scholar Award, and William & Mary’s Plumeri Award for Faculty Excellence. I was named an Outstanding Researcher at UVA, and I am a Senior Member of ACM and IEEE. Before UVA, I was the Adina Allen Associate Professor of Computer Science at William & Mary. I received my Ph.D. from Penn State in 2015.

Education

B.Tech. in Electronics and Instrumentation Engineering, National Institute of Technology (NIT), Rourkela, India, 2009

Ph.D. in Computer Science and Engineering, Pennsylvania State University, 2015