Welcome to Adwait's Homepage

Adwait Jog    Associate Professor of Computer Science    School of Engineering and Applied Science    University of Virginia     ajog@virginia.edu    Google Scholar Profile

About

Since January 2023, I am an Associate Professor (with Tenure) in the Department of Computer Science at the University of Virginia. Before joining UVA, I was the Adina Allen Associate Professor (with Tenure) in the Department of Computer Science at William & Mary.

I am leading the Insight Computer Architecture Lab and looking for motivated students interested in the general area of computer architecture & systems, including (but not limited to) accelerators, GPUs, quantum computing, reliability, or security.

A high-level summary of my group's prior work at William & Mary can be found here and here.

Recent and Selected Publications (complete list)

• (SIGMETRICS 2023) Asynchronous Automata Processing on GPUs

• (DSN 2021) Data-centric Reliability Management in GPUs

• (SIGMETRICS 2021) SUGAR: Speeding Up GPGPU Application Resilience Estimation with Input Sizing

• (HPCA 2021) Analyzing and Leveraging Decoupled L1 Caches in GPUs

• (PACT 2020) Analyzing and Leveraging Shared L1 Caches in GPUs

• (ASPLOS 2020) Why GPUs are Slow at Executing NFAs and How to Make them Faster

• (HPCA 2020) BCoal: Bucketing-based Memory Coalescing for Efficient and Secure GPUs

• (PACT 2019) Analyzing and Leveraging Remote-core Bandwidth for Enhanced Performance in GPUs

• (DSN 2019) Exploiting Latency and Error Tolerance of GPGPU Applications for an Energy-efficient DRAM

• (ICS 2019) Address-Stride Assisted Approximate Value Prediction in GPUs

• (ISCA 2019) Opportunistic Computing in GPU Architectures

• (SIGMETRICS 2019) Quantifying Data Locality in Dynamic Parallelism in GPUs

• (MICRO 2018) Architectural Support for Efficient Large-Scale Automata Processing

• (MICRO 2018) Fault Site Pruning for Practical Reliability Analysis of GPGPU Applications

• (HPCA 2018) Efficient and Fair Multi-programming in GPUs via Effective Bandwidth Management

• (HPCA 2018) RCoal: Mitigating GPU Timing Attack via Subwarp-based Randomized Coalescing Techniques

• (ASPLOS 2018) MASK: Redesigning the GPU Memory Hierarchy to Support Multi-Application Concurrency

Recent Committees (complete list)

• Program Committees: ISCA 2023, HPCA 2023, ASPLOS 2023 (ERC), ASPLOS 2022, ISPASS 2022, GPGPU 2022, MICRO 2021, ISCA 2021, DSN 2021, HPCA 2021, HPCA 2020, MICRO 2020 (ERC), ISCA 2020 (ERC), ASPLOS 2020 (ERC)

• Organization Committees: PACT 2020 (ACM SRC chair), GPGPU 2020 (Workshop co-chair), MICRO 2019 (Publicity co-chair), CGO 2019 (Publicity chair), GPGPU 2019 (Workshop co-chair)