Bio

B.Tech. in Electronics and Instrumentation Engineering, National Institute of Technology (NIT), Rourkela, India, 2009Ph.D. in Computer Science and Engineering, Pennsylvania State University, 2015

 

Research interests include:

Computer Architecture and Systems; Performance, Reliability, Security of GPUs and Accelerators​​

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His research interests lie in the broad area of computer architecture and systems. Specifically, he is interested in designing efficient and robust GPU and accelerator-rich systems. Jog's research has consistently been published at premier IEEE/ACM computer systems and architecture venues and funded by several agencies such as NSF and Google. He is a senior member of both IEEE and ACM.

Awards

  • Senior Member of ACM and IEEE 2023
  • Plumeri Award for Faculty Excellence, William & Mary 2022
  • Google Research Scholar Award 2021
  • NSF CAREER Award 2018
  • Outstanding Graduate Research Assistant Award, Penn State 2014

Research Interests

  • Computer Architecture and Systems
  • Performance, Reliability, Security of GPUs and Accelerators

Selected Publications

  • Asynchronous Automata Processing on GPUs; SIGMETRICS 2023 ABS H. Liu, S. Pai, A. Jog
  • Data-centric Reliability Management in GPUs; DSN 2021 ABS G. Kadam, E. Smirni, A. Jog
  • SUGAR: Speeding Up GPGPU Application Resilience Estimation with Input Sizing; SIGMETRICS 2021 ABS L. Yang, B. Nie, A. Jog, E. Smirni
  • Analyzing and Leveraging Decoupled L1 Caches in GPUs; HPCA 2021 ABS M. Ibrahim, O. Kayiran, Y. Eckert, G. Loh, A. Jog
  • Analyzing and Leveraging Shared L1 Caches in GPUs; PACT 2020 ABS M. Ibrahim, O. Kayiran, Y. Eckert, G. Loh, A. Jog
  • Why GPUs are Slow at Executing NFAs and How to Make them Faster; ASPLOS 2020 ABS H. Liu, S. Pai, A. Jog
  • BCoal: Bucketing-based Memory Coalescing for Efficient and Secure GPUs; HPCA 2020 ABS G. Kadam, D. Zhang, A. Jog
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