Abhishek Tyagi

3205 Wegmans Hall

250 Hutchison Rd

Rochester, NY 14620

I am a Fourth Year Computer Science PhD student at the Univeristy 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 the humans and for the humans. For my research, I would like to combine my interests in understanding the world around us (human brain functioning etc), with my expertise in the area of computer architecture and design applications and systems that helps us understand things we don’t.

news

Jun 11, 2024	Our work on Ethos-U55 fault characterization is featured on Arm Community Blogs: When Zero Becomes One
Apr 6, 2024	Selected for the Nengo Summer School 2024, at the University of Waterloo.
Apr 6, 2024	I will be at ISPASS 2024 presenting our work Characterizing Soft-Error Resiliency in Arm’s Ethos-U55 Embedded Machine Learning Accelerator.
Oct 20, 2022	Our paper titled Thales: Formulating and Estimating Architectural Vulnerability Factors for DNN Accelerators accepted at HPCA’23!
Mar 6, 2022	I will be interning with ARM Research, Austin, Texas this summer working on studying the resiliency of ARM Neural Processing Units (NPUs).

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
}