Tag Archives: udit

Resilience Assessment of Large Language Models under Transient Hardware Faults

Posted on August 7, 2023 by | Comments Off on Resilience Assessment of Large Language Models under Transient Hardware Faults

Udit Agarwal, Abraham Chan, and Karthik Pattabiraman, Proceedings of the IEEE International Symposium on Software Reliability Engineering (ISSRE), 2023. (Acceptance Rate: 28.5%) [ PDF | Talk ] (Code). Artifacts Available and Reviewed.
Continue reading →

Comments Off on Resilience Assessment of Large Language Models under Transient Hardware Faults

Posted in papers

Tagged , , , , , ,

Mixed Precision Support in HPC Applications: What About Reliability?

Posted on July 20, 2023 by | Comments Off on Mixed Precision Support in HPC Applications: What About Reliability?

Alessio Netti, Yang Peng, Patrik Omland, Michael Paulitsch, Jorge Parra, Gustavo Espinosa, Udit Agarwal, Abraham Chan, and Karthik Pattabiraman, Journal of Parallel and Distributed Computing (JPDC). [ PDF ] (code)
Continue reading →

Comments Off on Mixed Precision Support in HPC Applications: What About Reliability?

Posted in papers

Tagged , , , , ,

Towards Reliability Assessment of Systolic Arrays against Stuck-at Faults

Posted on July 8, 2023 by | Comments Off on Towards Reliability Assessment of Systolic Arrays against Stuck-at Faults

Udit Kumar Agarwal, Abraham Chan, Ali Asgari, and Karthik Pattabiraman. 19th IEEE Workshop on Silicon Errors in Logic – System Effects (SELSE), 2023. Received Best-of-SELSE award (one of three papers). [ PDF  | Presentation ] (Code)
Continue reading →

Comments Off on Towards Reliability Assessment of Systolic Arrays against Stuck-at Faults

Posted in papers

Tagged , , , , , , ,

LLTFI: Framework Agnostic Fault Injection for Machine Learning Applications (Tools and Artifact Track)

Posted on July 29, 2022 by | Comments Off on LLTFI: Framework Agnostic Fault Injection for Machine Learning Applications (Tools and Artifact Track)

Udit Agarwal, Abraham Chan, and Karthik Pattabiraman, IEEE International Symposium on Software Reliability Engineering (ISSRE), 2022. (Acceptance Rate: 29%) [ PDF | Talk (video) ] (Code)
Continue reading →

Comments Off on LLTFI: Framework Agnostic Fault Injection for Machine Learning Applications (Tools and Artifact Track)

Posted in papers

Tagged , , , , , ,

Nekara: Generalized Consistency Testing

Posted on November 12, 2021 by | Comments Off on Nekara: Generalized Consistency Testing

Udit Agarwal, Pantazis Deligiannis, Cheng Huang, Kumseok Jung, Akash Lal, Immad Naseer, Matthew Parkinson, Arun Thangamani, Jyothi Vedurada, Yunpeng Xiao, Proceedings of the ACM/IEEE International Conference on Automated Software Engineering (ASE), 2021. [ PDF | Talk Slides]

Continue reading →

Comments Off on Nekara: Generalized Consistency Testing

Posted in papers

Tagged , , , , ,

(WiP) LLTFI: Low-Level Tensor Fault Injector

Posted on August 31, 2021 by | Comments Off on (WiP) LLTFI: Low-Level Tensor Fault Injector

Abraham Chan, Udit Agarwal, and Karthik Pattabiraman. IEEE International Workshop on Software Certification (WoSoCER’21), co-held with the IEEE International Symposium on Software Reliability Engineering (ISSRE), 2021. [ PDF | Talk ] (Code)
Continue reading →

Comments Off on (WiP) LLTFI: Low-Level Tensor Fault Injector

Posted in papers

Tagged , , , , ,