| SigRace: Signature-based data race detection A Muzahid, D Suárez, S Qi, J Torrellas Proceedings of the 36th annual international symposium on Computer …, 2009 | 122 | 2009 |
| Atomtracker: A comprehensive approach to atomic region inference and violation detection A Muzahid, N Otsuki, J Torrellas 2010 43rd Annual IEEE/ACM International Symposium on Microarchitecture, 287-297, 2010 | 59 | 2010 |
| Syncperf: Categorizing, detecting, and diagnosing synchronization performance bugs MMU Alam, T Liu, G Zeng, A Muzahid Proceedings of the Twelfth European Conference on Computer Systems, 298-313, 2017 | 58 | 2017 |
| Vulcan: Hardware support for detecting sequential consistency violations dynamically A Muzahid, S Qi, J Torrellas 2012 45th Annual IEEE/ACM International Symposium on Microarchitecture, 363-375, 2012 | 41 | 2012 |
| WeeFence: Toward making fences free in TSO Y Duan, A Muzahid, J Torrellas ACM SIGARCH Computer Architecture News 41 (3), 213-224, 2013 | 39 | 2013 |
| A zero-positive learning approach for diagnosing software performance regressions M Alam, J Gottschlich, N Tatbul, JS Turek, T Mattson, A Muzahid Advances in Neural Information Processing Systems 32, 2019 | 35 | 2019 |
| Pacman: Tolerating asymmetric data races with unintrusive hardware S Qi, N Otsuki, LO Nogueira, A Muzahid, J Torrellas IEEE International Symposium on High-Performance Comp Architecture, 1-12, 2012 | 24 | 2012 |
| Revice: Reusing victim cache to prevent speculative cache leakage S Kim, F Mahmud, J Huang, P Majumder, N Christou, A Muzahid, CC Tsai, ... 2020 IEEE Secure Development (SecDev), 96-107, 2020 | 21 | 2020 |
| Communication algorithm-architecture co-design for distributed deep learning J Huang, P Majumder, S Kim, A Muzahid, KH Yum, EJ Kim 2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture …, 2021 | 20 | 2021 |
| Dynamically detecting and tolerating if-condition data races S Qi, AA Muzahid, W Ahn, J Torrellas 2014 IEEE 20th International Symposium on High Performance Computer …, 2014 | 18 | 2014 |
| Approximate lock: Trading off accuracy for performance by skipping critical sections R Akram, MMU Alam, A Muzahid 2016 IEEE 27th International Symposium on Software Reliability Engineering …, 2016 | 16 | 2016 |
| Learning fitness functions for machine programming S Mandal, T Anderson, J Turek, J Gottschlich, S Zhou, A Muzahid Proceedings of Machine Learning and Systems 3, 139-155, 2021 | 11 | 2021 |
| Detecting, exposing, and classifying sequential consistency violations MM Islam, A Muzahid 2016 IEEE 27th International Symposium on Software Reliability Engineering …, 2016 | 8 | 2016 |
| Large language models based automatic synthesis of software specifications S Mandal, A Chethan, V Janfaza, SM Mahmud, TA Anderson, J Turek, ... arXiv preprint arXiv:2304.09181, 2023 | 7 | 2023 |
| Characterizing real world bugs causing sequential consistency violations MM Islam, A Muzahid 5th USENIX Workshop on Hot Topics in Parallelism (HotPar 13), 2013 | 7 | 2013 |
| Communication algorithm-architecture co-design for distributed deep learning. In 2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture (ISCA) J Huang, P Majumder, S Kim, A Muzahid, KH Yum, EJ Kim IEEE, 2021 | 5 | 2021 |
| Approximeter: Automatically finding and quantifying code sections for approximation R Akram, A Muzahid 2017 IEEE International Symposium on Workload Characterization (IISWC), 116-117, 2017 | 5 | 2017 |
| Autoperf: A generalized zero-positive learning system to detect software performance anomalies MMU Alam, J Gottschlich, A Muzahid arXiv preprint arXiv:1709.07536, 2017 | 5 | 2017 |
| Production-run software failure diagnosis via Adaptive Communication Tracking MMU Alam, A Muzahid ACM SIGARCH Computer Architecture News 44 (3), 354-366, 2016 | 5 | 2016 |
| Learning fitness functions for genetic algorithms S Mandal, TA Anderson, JS Turek, J Gottschlich, S Zhou, A Muzahid arXiv Preprint, 2019 | 4 | 2019 |
Josep TorrellasProfessor of Computer Science, University of Illinois Urbana-Champaignillinois.edu의 이메일 확인됨
