Abhishek Tyagi

3205 Wegmans Hall

250 Hutchison Rd

Rochester, NY 14620

I am a Fifth Year Computer Science PhD student at the University of Rochester, advised by Dr. Yuhao Zhu. I was previously a Senior Engineer at Samsung Research & Development Institute, Bangalore, India. Before that, I was a Research Assistant at CAD Lab, IISc, working with Prof SK Nandy.

I am interested in building intelligent, efficient, and reliable computing systems inspired by humans and for humans. My research philosophy is to combine my interests in understanding the world around us (for example, human brain functioning) with my expertise in the area of computer architecture and design applications and systems that facilitate what we’ve yet to understand.

news

May 19, 2025	I have joined NVIDIA as a Resiliency and Safety Architecture Intern for the Summer and will be working with GPU Resiliency and Safety team led by Sanjay Gongalore.
May 2, 2025	Our work, Dynamic Sparse Training of Diagonally Sparse Networks, has been accepted to ICML 2025 as a poster. See you in Vancouver in July!
Apr 18, 2025	I will be at CLEO 2025 presenting our work titled Diagonal Structured Sparsity for Efficient Optical and GPU-based Neural Networks.
Mar 4, 2025	3 papers accepted for Oral presentation at Conference on Lasers and Electro-Optics (CLEO 2025).
Jun 11, 2024	Our work on Ethos-U55 fault characterization is featured on Arm Community Blogs: When Zero Becomes One

selected publications

ISPASS

Characterizing Soft-Error Resiliency in Arm’s Ethos-U55 Embedded Machine Learning Accelerator

Abhishek Tyagi, Reiley Jeyapaul, Chuteng Zhou, and 2 more authors

In 2024 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 2024

Bib

@inproceedings{tyagi2024characterizing,
  title = {Characterizing Soft-Error Resiliency in Arm's Ethos-U55 Embedded Machine Learning Accelerator},
  author = {Tyagi, Abhishek and Jeyapaul, Reiley and Zhou, Chuteng and Whatmough, Paul and Zhu, Yuhao},
  booktitle = {2024 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)},
  pages = {96--108},
  year = {2024},
  organization = {IEEE},
  selected = true
}

SIGGRAPH

Imperceptible Color Modulation for Power Saving in VR/AR

Kenneth Chen, Budmonde Duinkharjav, Nisarg Ujjainkar, and 5 more authors

In ACM SIGGRAPH 2023 Emerging Technologies, 2023

Bib

@incollection{chen2023imperceptible,
  title = {Imperceptible Color Modulation for Power Saving in VR/AR},
  author = {Chen, Kenneth and Duinkharjav, Budmonde and Ujjainkar, Nisarg and Shahan, Ethan and Tyagi, Abhishek and He, Jiayi and Zhu, Yuhao and Sun, Qi},
  booktitle = {ACM SIGGRAPH 2023 Emerging Technologies},
  pages = {1--2},
  year = {2023},
  selected = true
}

HPCA

Thales: Formulating and estimating architectural vulnerability factors for dnn accelerators

Abhishek Tyagi, Yiming Gan, Shaoshan Liu, and 3 more authors

In 2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2023

Bib

@inproceedings{tyagi2022thales,
  title = {Thales: Formulating and estimating architectural vulnerability factors for dnn accelerators},
  author = {Tyagi, Abhishek and Gan, Yiming and Liu, Shaoshan and Yu, Bo and Whatmough, Paul and Zhu, Yuhao},
  booktitle = {2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA)},
  year = {2023},
  organization = {IEEE},
  selected = true
}

SIGGRAPH

Color-perception-guided display power reduction for virtual reality

Budmonde* Duinkharjav, Kenneth* Chen, Abhishek Tyagi, and 3 more authors

ACM Transactions on Graphics (TOG), 2022

Bib

@article{duinkharjav2022color,
  title = {Color-perception-guided display power reduction for virtual reality},
  author = {Duinkharjav, Budmonde* and Chen, Kenneth* and Tyagi, Abhishek and He, Jiayi and Zhu, Yuhao and Sun, Qi},
  journal = {ACM Transactions on Graphics (TOG)},
  volume = {41},
  number = {6},
  pages = {1--16},
  year = {2022},
  publisher = {ACM New York, NY, USA},
  selected = true
}

ISCAS

Transport Triggered near Memory Accelerator for Deep Learning

Kavitha Madhu, Saptarsi Das, Abhishek Tyagi, and 3 more authors

In 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 2021

Bib

@inproceedings{madhu2021transport,
  title = {Transport Triggered near Memory Accelerator for Deep Learning},
  author = {Madhu, Kavitha and Das, Saptarsi and Tyagi, Abhishek and Deshwal, Ankur and Song, Joonho and Lee, Seungwon},
  booktitle = {2021 IEEE International Symposium on Circuits and Systems (ISCAS)},
  pages = {1--5},
  year = {2021},
  organization = {IEEE},
  selected = true
}