Alexander Hankin, Abdulrahman Mahmoud, Mark Hempstead, David Brooks, Gu-Yeon Wei. 2024. "Exploring the Impact of Weak Links Between Chains in Trapped Ion Quantum Computers," International Symposium on Workload Characterization (IISWC), Vancouver, Canada 2024.
Celine Lee, Abdulrahman Mahmoud, Michal Kurek, Simone Campanoni, David Brooks, Stephen Chong, Gu-Yeon Wei, Alexander M. Rush. "Guess and Sketch: Language Model Guided Transpilation," 2024 International Conference on Learning Representations (ICLR), Vienna, Austria 2024.
Syed Talal Wasim, Kabila Haile Saboka, Abdulrahman Mahmoud, Salman Khan, David Brooks, Gu-Yeon Wei. "Hardware Resilience Properties of Text-Guided Image Classifiers," 2023 Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisiana 2023.
Yu-Shun Hsiao, Zishen Wan, Tianyu Jia, Radhika Ghosal, Abdulrahman Mahmoud, Arjit Raychowdhury, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi. 2023. "Silent Data Corruption in Robot Operating System: A Case for End-to-End System-Level Fault Analysis Using Autonomous UAVs," IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2023.
Yifan Zhao, Hashim Sharif, Peter Pao-Huang, Vatsin Shah, Arun Narenthiran Sivakumar, Mateus Valverde Gasparino, Abdulrahman Mahmoud, Nathan Zhao, Sarita Adve, Girish Chowdhary, Sasa Misailovic, Vikram Adve. 2023. "ApproxCaliper: A Programmable Framework for Application-aware Neural Network Optimization," Sixth Conference on Machine Learning and Systems (MLSys), Miami, Florida, 2023.
Yu-Shun Hsiao, Zishen Wan, Tianyu Jia, Radhika Ghosal, Abdulrahman Mahmoud, Arjit Raychowdhury, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi. 2023. "MAVFI: An End-to-End Fault Analysis Framework with Anomaly Detection and Recovery for Micro Aerial Vehicles," Design, Automation, and Test in Europe Conference (DATE), Antwerp, Belgium, 2023.
Abdulrahman Mahmoud, Thierry Tambe, Tarek Aloui, David Brooks, Gu-Yeon Wei. 2022. "GoldenEye: A Platform for Evaluating Emerging Numerical Data Formats in DNN Accelerators," 2022 International Conference on Dependable Systems and Networks (DSN), Balitmore, Maryland 2022.
Zishen Wan, Aqeel Anwar, Abdulrahman Mahmoud, Tianyu Jia, Yu-Shun Hsiao, Vijay Janapa Reddi, Arijit Raychowdhury. 2022. "FRL-FI: Transient Fault Analysis for Federated Reinforcement Learning-Based Navigation Systems," Design, Automation, and Test in Europe Conference (DATE), Virtual Conference 2022.
Jaylen Wang, Abdulrahman Mahmoud, David Brooks, Gu-Yeon Wei. 2022. "A Dataflow-Aware Fault Resilience Analysis Framework for Deep Neural Network Accelerators," The Fourth Young Architect Workshop (YArch), Lausanne, Switzerland, 2022.
Abdulrahman Mahmoud, Siva Kumar Sastry Hari, Christopher W. Fletcher, Sarita V. Adve, Charbel Sakr, Naresh Shanbhag, Pavlo Molchanov, Michael B. Sullivan, Timothy Tsai, Stephen W. Keckler. 2021. "Optimizing Selective Protection for CNN Resilience," International Symposium on Software Reliability Engineering (ISSRE), Wuhan, China 2021.
Elba Garza, Gururaj Saileshwar, Udit Gupta, Tianyi Liu, Abdulrahman Mahmoud, Saugata Ghose, Joel Emer. "Mentoring Opportunities in Computer Architecture: Analyzing the Past to Develop the Future," presented at the Workshop on Computer Architecture Education (WCAE), co-located with ISCA 2021, Online 2021.
Muhammad Huzaifa, Johnathan Alsop, Abdulrahman Mahmoud, Giordano Salvador, Matthew D. Sinclair, and Sarita V. Adve. 2020. Inter-kernel Reuse-aware Thread Block Scheduling. ACM Transactions on Architecture and Code Optimization (TACO). Virtual Event, 2020.
Abdulrahman Mahmoud, Neeraj Aggarwal, Alex Nobbe, Jose Rodrigo Sanchez Vicarte, Sarita V. Adve, Christopher W. Fletcher, Iuri Frosio, Siva Kumar Sastry Hari. 2020. "PyTorchFI: A Runtime Perturbation Tool for DNNs," IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume, 2020, presented at the Workshop on Dependable and Secure Machine Learning (DSML), Valencia, Spain 2020.
PyTorchFI is open-sourced, available here! Downloaded 40,000+ times!
Abdulrahman Mahmoud, Siva Kumar Sastry Hari, Christopher W. Fletcher, Sarita V. Adve, Charbel Sakr, Naresh Shanbhag, Pavlo Molchanov, Michael B. Sullivan, Timothy Tsai, Stephen W. Keckler. 2020. "Feature Map Vulnerability Evaluation in CNNs," 2020 Workshop on Secure and Resilient Autonomy (SARA), Austin, Texas 2020.
Abdulrahman Mahmoud, Paul Reckamp, Panqiu Tang, Christopher W. Fletcher, Sarita V. Adve. 2019. "Approximate Checkers," 2019 Workshop on Approximate Computing Across the Stack (WAX), Phoenix, Arizona 2019.
Radha Venkatagiri, Khalique Ahmed, Abdulrahman Mahmoud, Sasa Misailovic, Darko Marinov, Christopher W. Fletcher, and Sarita Adve. 2019. gem5-Approxilyzer: an Open Source Tool for Application-level Soft Error Analysis in 2019 International Conference on Dependable Systems and Networks (DSN 19), June 24-27, 2019, Portland, Oregon, USA.
Abdulrahman Mahmoud, Radha Venkatagiri, Khalique Ahmed, Sasa Misailovic, Darko Marinov, Christopher W. Fletcher, and Sarita Adve. 2019. Minotaur: Adapting Software Testing Techniques for Hardware Errors. In 2019 Architecture Support for Programming Languages and Operating Systems (ASPLOS 19), April 13-17, 2019, Providence, Rhode Island, USA. ACM, New York, NY, USA, 17 pages. https://doi.org/10.1145/3297858.3304050
Muhammad Huzaifa and Abdulrahman Mahmoud. 2019. "VR Swarms: Enabling Shared Virtual Experiences," 2019 Workshop on Wild and Crazy Ideas (WACI), Providence, Rhode Island, 2019.
Abdulrahman Mahmoud, Siva Kumar Sastry Hari, Michael Sullivan, Timothy Tsai, and Stephen W. Keckler. 2018. "Optimizing Software-Directed Instruction Replication for GPU Error Detection," 2018 The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), Dallas, Texas, USA, 2018.
Abdulrahman Mahmoud, Radha Venkatagiri, Khalique Ahmed, Sarita Adve, Darko Marinov, and Sasa Misailovic. 2017. "Leveraging Software Testing to Explore Input Dependence for Approximate Computing," 2017 Workshop on Approximate Computing Across the Stack (WAX), Xi'an 2017.
Radha Venkatagiri, Abdulrahman Mahmoud, Siva Kumar Sastry Hari, and Sarita Adve. 2016. "Approxilyzer: Towards A Systematic Framework for Instruction-Level Approximate Computing and its Application to Hardware Resiliency," 2016 49th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), Taipei, 2016, pp. 1-14.
Radha Venkatagiri, Abdulrahman Mahmoud, and Sarita Adve. 2016. "Towards More Precision in Approximate Computing," 2016 Workshop on Approximate Computing Across the Stack (WAX), Atlanta, Georgia, 2016.
Shuyuan Zhang, Abdulrahman Mahmoud, Sharad Malik, and Sanjai Narain. 2012. "Verification and Synthesis of Firewalls Using Sat and QBF," 2012 20th IEEE International Conference on Network Protocols (ICNP), Austin, TX, 2012, pp. 1-6.
Conference Talk at IEEE/IFIP International Conference on Dependable Systems and Networks (DSN),
Invited Talk at DePaul University CDM Research Colloquium,
Conference Talk at International Symposium on Software Reliability Engineering (ISSRE),
Workshop Talk at Workshop on Dependable and Secure Machine Learning (DSML),
Workshop Talk at First Workshop on Secure and Resilient Autonomy,
Invited Poster Presentation at 7th Annual Heidelberg Laureate Forum (HLF), Heidelberg, Germany
Tool Demonstration at Center for Application Driving Architectures (ADA), Ann Arbor, MI, USA
Conference Talk at ASPLOS '19, Providence, RI, USA
Conference Talk at SC '18, Dallas, TX, USA
Invited talk at TECHCON, Austin, TX, USA
Tool demonstration at Center for Future Architecture (CFAR), Ann Arbor, MI, USA
Poster Presentation at MICRO '16, Taipei, Taiwan
Senior Thesis Defense at ELE Department, Princeton, NJ, USA
Poster Presentation at MIRTHE REU, Princeton, NJ, USA