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ORCIDAbdullah Muzahid
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2020 – today
- 2024
[c26]Sabuj Laskar, Pranati Majhi, Sungkeun Kim, Farabi Mahmud, Abdullah Muzahid, Eun Jung Kim:
Enhancing Collective Communication in MCM Accelerators for Deep Learning Training. HPCA 2024: 1-16- 2023
- [j4]Kevin Weston
, Farabi Mahmud, Vahid Janfaza, Abdullah Muzahid:
SmartIndex: Learning to Index Caches to Improve Performance. IEEE Comput. Archit. Lett. 22(1): 33-36 (2023) - [j3]Sungkeun Kim, Farabi Mahmud, Jiayi Huang, Pritam Majumder, Chia-Che Tsai, Abdullah Muzahid, Eun Jung Kim:
WHISTLE: CPU Abstractions for Hardware and Software Memory Safety Invariants. IEEE Trans. Computers 72(3): 811-825 (2023) - [c25]Farabi Mahmud, Sungkeun Kim, Harpreet Singh Chawla, Eun Jung Kim, Chia-Che Tsai, Abdullah Muzahid:
Attack of the Knights: Non Uniform Cache Side Channel Attack. ACSAC 2023: 691-703 - [c24]Kevin Weston, Vahid Janfaza, Abhishek Taur, Dhara Mungra, Arnav Kansal, Mohamed Zahran, Abdullah Muzahid:
Post-Silicon Customization Using Deep Neural Networks. ARCS 2023: 120-136 - [c23]Vahid Janfaza, Kevin Weston, Moein Razavi, Shantanu Mandal, Farabi Mahmud, Alex Hilty, Abdullah Muzahid:
MERCURY: Accelerating DNN Training By Exploiting Input Similarity. HPCA 2023: 638-650 - [c22]Vahid Janfaza, Shantanu Mandal, Farabi Mahmud, Abdullah Muzahid:
ADA-GP: Accelerating DNN Training By Adaptive Gradient Prediction. MICRO 2023: 1092-1105 - [i9]Shantanu Mandal, Adhrik Chethan, Vahid Janfaza, S. M. Farabi Mahmud, Todd A. Anderson, Javier Turek, Jesmin Jahan Tithi, Abdullah Muzahid:
Large Language Models Based Automatic Synthesis of Software Specifications. CoRR abs/2304.09181 (2023) - [i8]Vahid Janfaza, Shantanu Mandal, Farabi Mahmud, Abdullah Muzahid:
Adaptive Gradient Prediction for DNN Training. CoRR abs/2305.13236 (2023) - 2022
- [i7]Shantanu Mandal, Todd A. Anderson, Javier Turek, Justin Gottschlich, Abdullah Muzahid:
Synthesizing Programs with Continuous Optimization. CoRR abs/2211.00828 (2022) - 2021
- [j2]Riad Akram, Shantanu Mandal, Abdullah Muzahid:
XMeter: Finding Approximable Functions and Predicting Their Accuracy. IEEE Trans. Computers 70(7): 1081-1093 (2021) - [c21]Jiayi Huang, Pritam Majumder, Sungkeun Kim, Abdullah Muzahid, Ki Hwan Yum, Eun Jung Kim:
Communication Algorithm-Architecture Co-Design for Distributed Deep Learning. ISCA 2021: 181-194 - [c20]Shantanu Mandal, Todd A. Anderson, Javier Turek, Justin Gottschlich, Shengtian Zhou, Abdullah Muzahid:
Learning Fitness Functions for Machine Programming. MLSys 2021 - [i6]Pritam Majumder, Jiayi Huang, Sungkeun Kim, Abdullah Muzahid, Dylan Siegers, Chia-Che Tsai, Eun Jung Kim:
Continual Learning Approach for Improving the Data and Computation Mapping in Near-Memory Processing System. CoRR abs/2104.13671 (2021) - [i5]Vahid Janfaza, Kevin Weston, Moein Razavi, Shantanu Mandal, Abdullah Muzahid:
SIMCNN - Exploiting Computational Similarity to Accelerate CNN Training in Hardware. CoRR abs/2110.14904 (2021) - [i4]Farabi Mahmud, Sungkeun Kim, Harpreet Singh Chawla, Pritam Majumder, Jiayi Huang, Chia-Che Tsai, Eun Jung Kim, Abdullah Muzahid:
Attacks of the Knights: Exploiting Non Uniform Cache Access Time. CoRR abs/2112.10028 (2021) - 2020
- [c19]Sungkeun Kim, Farabi Mahmud, Jiayi Huang, Pritam Majumder, Neophytos Christou, Abdullah Muzahid, Chia-Che Tsai, Eun Jung Kim:
ReViCe: Reusing Victim Cache to Prevent Speculative Cache Leakage. SecDev 2020: 96-107 - [i3]Phat Nguyen, Arnav Kansal, Abhishek Taur, Mohamed Zahran, Abdullah Muzahid:
FORECASTER: A Continual Lifelong Learning Approach to Improve Hardware Efficiency. CoRR abs/2004.13074 (2020)
2010 – 2019
- 2019
- [c18]Mejbah Alam, Justin Gottschlich, Nesime Tatbul, Javier S. Turek, Tim Mattson, Abdullah Muzahid:
A Zero-Positive Learning Approach for Diagnosing Software Performance Regressions. NeurIPS 2019: 11623-11635 - [e1]Tim Mattson, Abdullah Muzahid, Armando Solar-Lezama:
Proceedings of the 3rd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, MAPL@PLDI 2019, Phoenix, AZ, USA, June 22, 2019. ACM 2019, ISBN 978-1-4503-6719-6 [contents] - [i2]Shantanu Mandal, Todd A. Anderson, Mejbah Alam, Justin Gottschlich, Abdullah Muzahid:
NetSyn: Neural Evolutionary Technique to Synthesize Programs. CoRR abs/1908.08783 (2019) - 2018
- [c17]Mohammad Majharul Islam, Abdullah Muzahid:
Bugaroo: Exposing Memory Model Bugs in Many-Core Systems. ISSRE 2018: 178-188 - 2017
- [c16]Mohammad Mejbah Ul Alam, Tongping Liu, Guangming Zeng, Abdullah Muzahid:
SyncPerf: Categorizing, Detecting, and Diagnosing Synchronization Performance Bugs. EuroSys 2017: 298-313 - [c15]Riad Akram, Abdullah Muzahid:
Approximeter: Automatically finding and quantifying code sections for approximation. IISWC 2017: 116-117 - [i1]Mohammad Mejbah Ul Alam, Justin Gottschlich, Md. Mostofa Ali Patwary, Saeef Ahmad, Abdullah Muzahid:
AutoCon: Regression Testing for Detecting Cache Contention Anomalies Using Autoencoder. CoRR abs/1709.07536 (2017) - 2016
- [j1]Ismail Akturk, Riad Akram, Mohammad Majharul Islam, Abdullah Muzahid, Ulya R. Karpuzcu:
Accuracy Bugs: A New Class of Concurrency Bugs to Exploit Algorithmic Noise Tolerance. ACM Trans. Archit. Code Optim. 13(4): 48:1-48:24 (2016) - [c14]Mohammad Majharul Islam, Riad Akram, Abdullah Muzahid:
Hardware-Based Sequential Consistency Violation Detection Made Simpler. ICA3PP 2016: 18-37 - [c13]Mohammad Mejbah Ul Alam, Abdullah Muzahid:
Production-Run Software Failure Diagnosis via Adaptive Communication Tracking. ISCA 2016: 354-366 - [c12]Mohammad Majharul Islam, Abdullah Muzahid:
Detecting, Exposing, and Classifying Sequential Consistency Violations. ISSRE 2016: 241-252 - [c11]Riad Akram, Mohammad Mejbah Ul Alam, Abdullah Muzahid:
Approximate Lock: Trading off Accuracy for Performance by Skipping Critical Sections. ISSRE 2016: 253-263 - 2015
- [c10]Mohammad Shahedul Islam, Matt Gibson, Abdullah Muzahid:
Fast and QoS-Aware Heterogeneous Data Center Scheduling Using Locality Sensitive Hashing. CloudCom 2015: 74-81 - [c9]Mohammad Shahedul Islam, Matt Gibson, Abdullah Muzahid:
Fast and Accurate Workload Characterization Using Locality Sensitive Hashing. HPCC/CSS/ICESS 2015: 1192-1201 - [c8]Abdullah Muzahid:
Hardware support for production run diagnosis of performance bugs. ICCD 2015: 487-490 - 2014
- [c7]Shanxiang Qi, Abdullah Muzahid, Wonsun Ahn, Josep Torrellas:
Dynamically detecting and tolerating IF-Condition Data Races. HPCA 2014: 120-131 - 2013
- [c6]Mohammad Majharul Islam, Abdullah Muzahid:
Characterizing Real World Bugs Causing Sequential Consistency Violations. HotPar 2013 - [c5]Yuelu Duan, Abdullah Muzahid, Josep Torrellas:
WeeFence: toward making fences free in TSO. ISCA 2013: 213-224 - 2012
- [b1]Abdullah Muzahid:
Effective architectural support for detecting concurrency bugs. University of Illinois Urbana-Champaign, USA, 2012 - [c4]Shanxiang Qi, Norimasa Otsuki, Lois Orosa Nogueira, Abdullah Muzahid, Josep Torrellas:
Pacman: Tolerating asymmetric data races with unintrusive hardware. HPCA 2012: 349-360 - [c3]Abdullah Muzahid, Shanxiang Qi, Josep Torrellas:
Vulcan: Hardware Support for Detecting Sequential Consistency Violations Dynamically. MICRO 2012: 363-375 - 2010
- [c2]Abdullah Muzahid, Norimasa Otsuki, Josep Torrellas:
AtomTracker: A Comprehensive Approach to Atomic Region Inference and Violation Detection. MICRO 2010: 287-297
2000 – 2009
- 2009
- [c1]Abdullah Muzahid, Darío Suárez Gracia, Shanxiang Qi, Josep Torrellas:
SigRace: signature-based data race detection. ISCA 2009: 337-348
Coauthor Index
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