Ali R. Butt

Professor, Computer Science & ECE (by courtesy) · Virginia Tech
Systems, Storage & I/O for ML/DL, cloud, HPC.

Ali R. Butt

Ali is a Professor of Computer Science (and ECE by courtesy) and Associate Department Head for Faculty Development in CS@VT. He is an ACM Distinguished Member. He received his Ph.D. degree in Electrical and Computer Engineering from Purdue University in 2006. He is a recipient of an NSF CAREER Award (2008), IBM Faculty Awards (2008, 2015), a VT College of Engineering (COE) Dean's award for “Outstanding New Assistant Professor” (2009), an IBM Shared University Research Award (2009), and NetApp Faculty Fellowships (2011, 2015). He was named a VT COE Faculty Fellow in 2013. Ali was an Academic Visitor at IBM Almaden Research Center (Summer 2012) and a Visiting Research Fellow at Queen's University of Belfast (Summer 2013). He has served as the Associate Editor for IEEE Transactions on Cloud Computing (2018–present), ACM Transactions on Storage (2016–present), IEEE Transactions on Parallel and Distributed Systems (2013–2016), Cluster Computing: The Journal of Networks, Software Tools and Applications (2013–present), and Sustainable Computing: Informatics and Systems (2010–2015). He is an alumni of the National Academy of Engineering's US Frontiers of Engineering (FOE) Symposium (2009), US–Japan FOE (2012), and National Academy of Science's AA Symposium on Sensor Science (2015). He was also an organizer for the US FOE in 2010. Ali's research interests are in: cloud and high-performance computing systems; systems support for machine and deep learning applications; file, I/O, and storage systems; distributed systems; and large-scale experimental computer systems. At Virginia Tech he leads the Distributed Systems & Storage Laboratory (DSSL) and directs the stack@cs Center for Computer Systems.

Office: 220 Gilbert Place, Suite 4108, Blacksburg, VA 24060

01

Selected recent publications

2026

2025

2024

2023

2022

  • Heterogeneity-Aware Adaptive Federated Learning Scheduling

    Jingoo Han, Ahmad Faraz Khan, Syed Zawad, Ali Anwar, Nathalie Baracaldo Angel, Yi Zhou, Feng Yan, and Ali R. Butt.

    Proceedings of the IEEE International Conference on Big Data (BigData), Osaka, Japan, 10 pages, December 2022. (AR: 19.2%).

  • Translation-optimized Memory Compression for Capacity

    Gagandeep Panwar, Muhammad Laghari, David Bears, Yuqing Liu, Chandler Jearls, Esha Choukse, Kirk W. Cameron, Ali R. Butt, and Xun Jian.

    Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture (MICRO), Chicago, IL, 20 pages, October 2022. (AR: 23.9%).

  • TIFF: Tokenized Incentive for Federated Learning

    Jingoo Han, Ahmad Faraz Khan, Syed Zawad, Ali Anwar, Nathalie Baracaldo Angel, Yi Zhou, Feng Yan, and Ali R. Butt.

    Proceedings of the IEEE International Conference on Cloud Computing (CLOUD), Barcelona, Spain, 10 pages, July 2022. (AR: 22.4%).

  • SCHEDTUNE: A Heterogeneity-aware GPU Scheduler for Deep Learning

    Hadeel Albahar, Shruti Dongare, Yanlin Du, Nannan Zhao, Arnab K. Paul, and Ali R. Butt.

    Proceedings of the 22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), Taormina (Messina), Italy, 10 pages, May 2022.

  • Tokenized Incentive for Federated Learning

    Jingoo Han, Ahmad Faraz Khan, Syed Zawad, Ali Anwar, Nathalie Baracaldo Angel, Yi Zhou, Feng Yan, and Ali R. Butt.

    Proceedings of the AAAI International Workshop on Trustable, Verifiable and Auditable Federated Learning (FL-AAAI-22) in conjunction with AAAI 2022, Vancouver, BC, Canada, 9 pages, March 2022.

2020

2019

2018

  • BESPOKV: Application Tailored Scale-Out Key-Value Stores

    Ali Anwar, Yue Cheng, Hai Huang, Dongyoon Lee, Jingoo Han, Hyogi Sim, Fred Douglis, and Ali R. Butt.

    Proceedings of The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), Dallas, TX, pages 16, November 2018. (AR:23.6%)

  • A Heterogeneity-Aware Task Scheduler for Spark

    Luna Xu, Ali R. Butt, Seung-Hwan Lim, and Ramakrishnan Kannan.

    Proceedings of the IEEE International Conference on Cluster Computing (Cluster), Belfast, UK, pages 11, September 2018.

  • Finding and Counting Tree-Like Subgraphs using MapReduce

    Zhao Zhao, Langshi Chen, Mihai Avram, Meng Li, Guanying Wang, Ali R. Butt, Maleq Khan, Madhav Marathe, Judy Qiu, and Anil Vullikanti.

    IEEE Transactions on Multi-Scale Computing Systems, 4(3):217–230, July 2018.

  • Improving Docker Registry Design based on Production Workload Analysis

    Ali Anwar, Mohamed Mohamed, Vasily Tarasov, Michael Littley, Lukas Rupprecht, Yue Cheng, Nannan Zhao, Dimitrios Skourtis, Amit S. Warke, Heiko Ludwig, Dean Hildebrand, and Ali R. Butt.

    Proceedings of the 16th USENIX Conference on File and Storage Technologies (FAST'18), Oakland, CA, pages 14, Feb 2018. (AR:16.5%)

  • Chameleon: An Adaptive Wear Balancer for Flash Clusters

    Nannan Zhao, Ali Anwar, Yue Cheng , Mohammed Salman, Daping Li, Jiguang Wan, Changsheng Xie, Xubin He , Feiyi Wang, and Ali R. Butt.

    Proceedings of the IEEE International Parallel and Distributed Processing Symposium (IPDPS), Vancouver, Canada, pages 10, May 2018. (AR: 24.5%)

2017

  • TagIt: A Fast and Efficient Scientific Data Discovery Service

    Hyogi Sim, Youngjae Kim, Sudharshan S. Vazhkudai, Geoffroy R. Vallee, Seung-Hwan Lim, and Ali R. Butt.

    Proceedings of the 2017 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC'17), Denver, CO, pages 10, November 2017. (AR:18.7%).

2016

2015

  • MOS: Workload-aware Elasticity for Cloud Object Stores

    Ali Anwar, Yue Cheng, Aayush Gupta, and Ali R. Butt.

    Proceedings of the 25th ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC), Kyoto, Japan, pages 12, May 2016. (AR: 15.5%). An initial design, Taming the Cloud Object Storage with MOS, appeared in Proceedings of the 10th Parallel Data Storage Workshop (PDSW), Austin, Texas, pages 6, November 2015. (AR: 36%). A related poster was presented in 6th ACM SIGOPS Asia-Pacific Workshop on Systems (APSys 2015), Tokyo, Japan, July 2015.

2016

2015

2014

2013

2012

2011

2010

[Full publication list]

Misc

03

Recent professional activities