Tag Archives: 2023

Characterizing and Improving Resilience of Accelerators to Memory Errors in Autonomous Robots

Posted on September 24, 2023 by | Comments Off on Characterizing and Improving Resilience of Accelerators to Memory Errors in Autonomous Robots

Deval Shah, Zi Yu Xue, Karthik Pattabiraman and Tor Aamodt, To appear in the ACM Transactions on Cyber-Physical Systems (TCPS). (Acceptance date: Sep 2023). [PDF] (arXIV)
Continue reading →

Comments Off on Characterizing and Improving Resilience of Accelerators to Memory Errors in Autonomous Robots

Posted in papers

Tagged , , ,

EdgeEngine: A Thermal-Aware Optimization Framework for Edge Inference

Posted on September 20, 2023 by | Comments Off on EdgeEngine: A Thermal-Aware Optimization Framework for Edge Inference

Amirhossein Ahmadi, Hazem Abdelhafez, Karthik Pattabiraman and Matei Ripeanu, Proceedings of the ACM/IEEE International Symposium on Edge Computing (SEC), 2023. (Acceptance Rate: 25%) [ PDF | Talk ] (Code)
Continue reading →

Comments Off on EdgeEngine: A Thermal-Aware Optimization Framework for Edge Inference

Posted in papers

Tagged , , , ,

Evaluating the Effect of Common Annotation Faults on Object Detection Techniques

Posted on August 7, 2023 by | Comments Off on Evaluating the Effect of Common Annotation Faults on Object Detection Techniques

Abraham Chan, Arpan Gujarati, Karthik Pattabiraman and Sathish Gopalakrishnan, 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 Evaluating the Effect of Common Annotation Faults on Object Detection Techniques

Posted in papers

Tagged , , , , ,

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 , , , , , , ,

Structural Coding: A Low-Cost Scheme to Protect CNNs from Large-Granularity Memory Faults

Posted on June 16, 2023 by | Comments Off on Structural Coding: A Low-Cost Scheme to Protect CNNs from Large-Granularity Memory Faults

Ali Asgari, Florian Geissler, Syed Qutub, Michael Paulitsch, Prashant Nair, and Karthik Pattabiraman, Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), 2023. (Acceptance Rate: 23.9%) [ PDF | Talk ] (code). Artifacts Available and Functional
Continue reading →

Comments Off on Structural Coding: A Low-Cost Scheme to Protect CNNs from Large-Granularity Memory Faults

Posted in papers

Tagged , , , , ,

A Low-cost Strategic Monitoring Approach for Scalable and Interpretable Error Detection in Deep Neural Networks

Posted on April 22, 2023 by | Comments Off on A Low-cost Strategic Monitoring Approach for Scalable and Interpretable Error Detection in Deep Neural Networks

Florian Geissler, Syed Qutub, Michael Paulitsch and Karthik Pattabiraman, Proceedings of the International Conference on Computer Safety, Reliability and Security (SafeComp), 2023. (Acceptance Rate: 20%) [PDF | Talk]
Continue reading →

Comments Off on A Low-cost Strategic Monitoring Approach for Scalable and Interpretable Error Detection in Deep Neural Networks

Posted in papers

Tagged , , , ,

SwarmFuzz: Discovering GPS Spoofing Attacks in Drone Swarms

Posted on March 18, 2023 by | Comments Off on SwarmFuzz: Discovering GPS Spoofing Attacks in Drone Swarms

Elaine Yao, Pritam Dash and Karthik Pattabiraman, Proceedings of the IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2023. (Acceptance rate: 20%) [ PDF | Talk ] (Code)
Continue reading →

Comments Off on SwarmFuzz: Discovering GPS Spoofing Attacks in Drone Swarms

Posted in papers

Tagged , , , , ,

AChecker: Statically Detecting Smart Contract Access Control Vulnerabilities

Posted on December 8, 2022 by | Comments Off on AChecker: Statically Detecting Smart Contract Access Control Vulnerabilities

Asem Ghaleb, Julia Rubin, and Karthik Pattabiraman, Proceedings of the IEEE/ACM International Conference on Software Engineering (ICSE), 2023. (Acceptance Rate: 26%) [ PDF | Talk ] (Code). Artifacts available and reusable badge
Continue reading →

Comments Off on AChecker: Statically Detecting Smart Contract Access Control Vulnerabilities

Posted in papers

Tagged , , , ,