| 2026 | HPDC | Beyond Fixed Budgets: Characterizing the Inelasticity and Limitations of Tree-of-Thought Reasoning Strategies. | Atkia Mahila, Avinash Maurya, M. Mustafa Rafique, Bogdan Nicolae |
| 2026 | SENSYS | Been There, Scanned That: Nostalgia-Driven Point Cloud Compression for Self-Driving Cars. | Ali Khalid, Jaiaid Mobin, Sumanth Rao Appala, Avinash Maurya, Stephany Berrio Perez, M. Mustafa Rafique, Fawad Ahmad |
| 2025 | HPDC | On Optimizing Checkpoint Restoration for HPC Applications: Leveraging Merkle Trees and Asynchronous I/O. | Zackary Malkmus, Nigel Tan, Ian Lumsden, Kevin Assogba, M. Mustafa Rafique, Bogdan Nicolae, Michela Taufer |
| 2025 | NAACL | Bayelemabaga: Creating Resources for Bambara NLP. | Allahsera Auguste Tapo, Kevin Assogba, Christopher M. Homan, M. Mustafa Rafique, Marcos Zampieri |
| 2025 | SC | MLP-Offload: Multi-Level, Multi-Path Offloading for LLM Pre-training to Break the GPU Memory Wall. | Avinash Maurya, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae |
| 2024 | HiPC | Towards Pre-Training Data Evaluation for Client Selection in Federated Learning. | Vijay Dharmaji, Manit Tanwar, Subroto Majumder, M. Mustafa Rafique, Arnab K. Paul |
| 2024 | HPDC | DataStates-LLM: Lazy Asynchronous Checkpointing for Large Language Models. | Avinash Maurya, Robert Underwood, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae |
| 2024 | Middleware | Deep Optimizer States: Towards Scalable Training of Transformer Models using Interleaved Offloading. | Avinash Maurya, Jie Ye, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae |
| 2024 | Middleware | Towards Affordable Reproducibility Using Scalable Capture and Comparison of Intermediate Multi-Run Results. | Nigel Tan, Kevin Assogba, Walter J. Ashworth, Befikir Bogale, Franck Cappello, M. Mustafa Rafique, Michela Taufer, Bogdan Nicolae |
| 2023 | CLUSTER | PredictDDL: Reusable Workload Performance Prediction for Distributed Deep Learning. | Kevin Assogba, Eduardo Lima, M. Mustafa Rafique, Minseok Kwon |
| 2023 | HiPC | Optimizing the Training of Co-Located Deep Learning Models Using Cache-Aware Staggering. | Kevin Assogba, Bogdan Nicolae, M. Mustafa Rafique |
| 2023 | HiPC | Towards Efficient I/O Pipelines Using Accumulated Compression. | Avinash Maurya, Bogdan Nicolae, M. Mustafa Rafique, Franck Cappello |
| 2023 | HPDC | GPU-Enabled Asynchronous Multi-level Checkpoint Caching and Prefetching. | Avinash Maurya, M. Mustafa Rafique, Thierry Tonellot, Hussain J. AlSalem, Franck Cappello, Bogdan Nicolae |
| 2023 | HPDC | COLTI: Towards Concurrent and Co-located DNN Training and Inference. | Jaiaid Mobin, Avinash Maurya, M. Mustafa Rafique |
| 2023 | SC | Asynchronous Multi-Level Checkpointing: An Enabler of Reproducibility using Checkpoint History Analytics. | Kevin Assogba, Bogdan Nicolae, Hubertus Van Dam, M. Mustafa Rafique |
| 2022 | CCGRID | On Realizing Efficient Deep Learning Using Serverless Computing. | Kevin Assogba, Moiz Arif, M. Mustafa Rafique, Dimitrios S. Nikolopoulos |
| 2022 | HiPC | Towards Data Gravity and Compliance Aware Distributed Deep Learning on Hybrid Clouds. | Avinash Maurya, Jaiaid Mobin, M. Mustafa Rafique |
| 2022 | HiPC | Towards Efficient Cache Allocation for High-Frequency Checkpointing. | Avinash Maurya, Bogdan Nicolae, M. Mustafa Rafique, Amr M. Elsayed, Thierry Tonellot, Franck Cappello |
| 2022 | ICPP | Exploiting CXL-based Memory for Distributed Deep Learning. | Moiz Arif, Kevin Assogba, M. Mustafa Rafique, Sudharshan Vazhkudai |
| 2022 | SC | Canary: Fault-Tolerant FaaS for Stateful Time-Sensitive Applications. | Moiz Arif, Kevin Assogba, M. Mustafa Rafique |
| 2021 | MASCOTS | Towards Efficient I/O Scheduling for Collaborative Multi-Level Checkpointing. | Avinash Maurya, Bogdan Nicolae, M. Mustafa Rafique, Thierry Tonellot, Franck Cappello |
| 2020 | CCGRID | MARBLE: A Multi-GPU Aware Job Scheduler for Deep Learning on HPC Systems. | Jingoo Han, M. Mustafa Rafique, Luna Xu, Ali Raza Butt, Seung-Hwan Lim, Sudharshan S. Vazhkudai |
| 2020 | CLUSTER | CuVPP: Filter-based Longest Prefix Matching in Software Data Planes. | Minseok Kwon, Krishna Prasad Neupane, John Marshall, M. Mustafa Rafique |
| 2020 | MASCOTS | Infrastructure-Aware TensorFlow for Heterogeneous Datacenters. | Moiz Arif, M. Mustafa Rafique, Seung-Hwan Lim, Zaki Malik |
| 2020 | SC | Extending the Control Plane of Container Orchestrators for I/O Virtualization. | Garegin Grigoryan, Minseok Kwon, M. Mustafa Rafique |
| 2019 | CLUSTER | A Quantitative Study of Deep Learning Training on Heterogeneous Supercomputers. | Jingoo Han, Luna Xu, M. Mustafa Rafique, Ali Raza Butt, Seung-Hwan Lim |
| 2019 | ICNP | Container Orchestration by Kubernetes for RDMA Networking. | Coleman Link, Jesse Sarran, Garegin Grigoryan, Minseok Kwon, M. Mustafa Rafique, Warren R. Carithers |
| 2017 | CCGRID | Evaluation of Data Locality Strategies for Hybrid Cloud Bursting of Iterative MapReduce. | Francisco J. Clemente-Castell, Bogdan Nicolae, M. Mustafa Rafique, Rafael Mayo, Juan Carlos Fernndez |
| 2016 | CCGRID | On Efficient Hierarchical Storage for Big Data Processing. | Krish K. R., Bharti Wadhwa, M. Safdar Iqbal, M. Mustafa Rafique, Ali Raza Butt |
| 2016 | CLUSTER | CHOPPER: Optimizing Data Partitioning for In-memory Data Analytics Frameworks. | Arnab Kumar Paul, Wenjie Zhuang, Luna Xu, Min Li, M. Mustafa Rafique, Ali Raza Butt |
| 2015 | HPCC | HETS: Heterogeneous Edge and Task Scheduling Algorithm for Heterogeneous Computing Systems. | Anum Masood, Ehsan Ullah Munir, M. Mustafa Rafique, Samee Ullah Khan |
| 2015 | IM | Heterogeneous cloud systems monitoring using semantic and linked data technologies. | Alessandro Portosa, M. Mustafa Rafique, Spyros Kotoulas, Luca Foschini, Antonio Corradi |
| 2015 | UCC | Enabling Big Data Analytics in the Hybrid Cloud Using Iterative MapReduce. | Francisco J. Clemente-Castell, Bogdan Nicolae, Kostas Katrinis, M. Mustafa Rafique, Rafael Mayo, Juan Carlos Fernndez, Daniela Loreti |
| 2014 | CCGRID | Distributed Detection of Cancer Cells in High-Throughput Cellular Spike Streams. | Abdul Hafeez, M. Mustafa Rafique, Ali Raza Butt |
| 2014 | SC | Towards energy awareness in Hadoop. | Krish K. R., M. Safdar Iqbal, M. Mustafa Rafique, Ali Raza Butt |
| 2013 | EuroPar | Leveraging Collaborative Content Exchange for On-Demand VM Multi-deployments in IaaS Clouds. | Bogdan Nicolae, M. Mustafa Rafique |
| 2012 | MASCOTS | On the Use of GPUs in Realizing Cost-Effective Distributed RAID. | Aleksandr Khasymski, M. Mustafa Rafique, Ali Raza Butt, Sudharshan S. Vazhkudai, Dimitrios S. Nikolopoulos |
| 2011 | CLUSTER | Symphony: A Scheduler for Client-Server Applications on Coprocessor-Based Heterogeneous Clusters. | M. Mustafa Rafique, Srihari Cadambi, Kunal Rao, Ali Raza Butt, Srimat T. Chakradhar |
| 2010 | CCGRID | A Capabilities-Aware Programming Model for Asymmetric High-End Systems. | M. Mustafa Rafique |
| 2010 | CCGRID | Designing Accelerator-Based Distributed Systems for High Performance. | M. Mustafa Rafique, Ali Raza Butt, Dimitrios S. Nikolopoulos |