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, was named an Outstanding Researcher at UVA, and 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.

Highlights

• Service I am Program Co-Chair for IISWC 2026, the premier conference on workload characterization. Check out the program here.
• UVA I am leading the GPU-Accelerated Computing Research Interest Group at UVA, which is supported by the UVA SEAS RIG and UVA Research Hub programs. If you are interested in learning more, please get in touch.

• May 2026Amel successfully defended her Ph.D. dissertation and joined AMD as a Member of Technical Staff. Congrats Dr. Fatima!
• March 2026Yang's ISCA 2026 paper got accepted! Read the paper here.
• March 2025Amel's ISCA 2025 paper got accepted! Read the paper here.
• March 2025Ying's ISCA 2025 paper got accepted! Read the paper here.
• March 2025Yang's ISPASS 2025 paper got accepted! Read the paper here.

1. ISCA 2026
   LÆGIS: Pinpointing and Addressing Performance Overheads of GPU-based Confidential Computing

   Yang Yang, Adwait Jog

   ACM International Symposium on Computer Architecture (ISCA), Raleigh, NC, June 2026 · Acceptance rate 161/845 ≈ 19%

   DOIPDFArtifact
2. ISPASS 2026
   Hibiscus: End-to-end Architectural Simulation Framework for Hybrid SFQ/CMOS-Memory Compute Systems

   Ryan Marsala, Yerzhan Mustafa, Prabhath Tangella, Mohammad Sonji, George Michelogiannakis, Selcuk Kose, Adwait Jog, Mehmet E. Belviranli

   IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Seoul, South Korea, April 2026

   DOIArtifact
3. ISCA 2025
   NetCrafter: Tailoring Network Traffic for Non-Uniform Bandwidth Multi-GPU Systems

   Amel Fatima, Yang Yang, Yifan Sun, Rachata Ausavarungnirun, Adwait Jog

   ACM International Symposium on Computer Architecture (ISCA), Tokyo, Japan, June 2025 · Acceptance rate 127/570 ≈ 22%

   DOI
4. ISCA 2025
   TrioSim: A Lightweight Simulator for Large-Scale DNN Workloads on Multi-GPU Systems

   Ying Li, Yuhui Bao, Gongyu Wang, Xinxin Mei, Pranav Vaid, Anandaroop Ghosh, Adwait Jog, Darius Bunandar, Ajay Joshi, Yifan Sun

   ACM International Symposium on Computer Architecture (ISCA), Tokyo, Japan, June 2025 · Acceptance rate 127/570 ≈ 22%

   DOIArtifact
5. ISPASS 2025
   Dissecting Performance Overheads of Confidential Computing on GPU-based Systems

   Yang Yang, Mohammad Sonji, Adwait Jog

   IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Ghent, Belgium, May 2025 · Acceptance rate 28/99 ≈ 28%

   DOIPDFSlidesArtifactCC Summit slides

• Fall 2026 CS 4444 Introduction to Parallel Computing · Undergraduate
• Spring 2026 CS 6501 GPU Architectures · Graduate, special topics