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Author

M. Mustafa Rafique

Observed names: M.M. Rafique, Muhammad~Mustafa Rafique, Mustafa Rafique, Rafique, M. Mustafa
Observed institutions: Argonne National Laboratory, IBM (United States), Rochester Institute of Technology, Illinois Institute of Technology, IBM (Ireland), NEC (United States), IBM Research - Ireland, Virginia Tech, Qatar Foundation
ORCID: 0000-0002-5034-2880
Observed ORCID: 0000-0002-5034-2880
OpenAlex ID: A5054011637
Energy-makespan optimization of workflow scheduling in fog–cloud computing
2021 · Samia Ijaz, Ehsan Ullah Munir, et al. · Computing · 100
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Supporting MapReduce on large-scale asymmetric multi-core clusters
2009 · M. Mustafa Rafique, Benjamin Rose, et al. · ACM SIGOPS Operating Systems Review · 57
Adaptive energy-efficient clustering path planning routing protocols for heterogeneous wireless sensor networks
2016 · Muhammad Aslam, Ehsan Ullah Munir, et al. · Sustainable Computing Informatics and Systems · 52
CellMR: A framework for supporting mapreduce on asymmetric cell-based clusters
2009 · M.M. Rafique, B. Rose, et al. · IEEE International Parallel and Distributed Processing Symposium (IPDPS) · 49
DataStates-LLM: Lazy Asynchronous Checkpointing for Large Language Models
2024 · Avinash Maurya, Robert Underwood, et al. · ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) · 48
Exploiting CXL-based Memory for Distributed Deep Learning
2022 · Moiz Arif, Kevin Assogba, et al. · Proceedings of the International Conference on Parallel Processing · 33
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Enabling Big Data Analytics in the Hybrid Cloud Using Iterative MapReduce
2015 · Francisco J. Clemente-Castello, Bogdan Nicolae, et al. · IEEE/ACM International Conference on Utility and Cloud Computing (UCC) · 31
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Data-Intensive Workflow Optimization Based on Application Task Graph Partitioning in Heterogeneous Computing Systems
2014 · Saima Gulzar Ahmad, Chee Sun Liew, et al. · IEEE International Conference on Big Data and Cloud Computing (BDCloud) · 29
MARBLE: A Multi-GPU Aware Job Scheduler for Deep Learning on HPC Systems
2020 · Jingoo Han, M. Mustafa Rafique, et al. · IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) · 27
On Efficient Hierarchical Storage for Big Data Processing
2016 · K. R. Krish, Bharti Wadhwa, et al. · IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) · 26
Dma-based prefetching for i/o-intensive workloads on the cell architecture
2008 · M. Mustafa Rafique, Ali R. Butt, et al. · ACM International Conference on Computing Frontiers (CF) · 24
List-Based Task Scheduling for Cloud Computing
2016 · Muhammad Fasih Akbar, Ehsan Ullah Munir, et al. · IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) · 22
EAIRA: Establishing a methodology for evaluating LLMs as scientific research assistants
2026 · Franck Cappello, Sandeep Madireddy, et al. · The International Journal of High Performance Computing Applications · 21
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HETS: Heterogeneous Edge and Task Scheduling Algorithm for Heterogeneous Computing Systems
2015 · Anum Masood, Ehsan Ullah Munir, et al. · IEEE International Conference on High Performance Computing and Communications; IEEE International Conference on Smart City; IEEE International Conference on Data Science and Systems (HPCC/SmartCity/DSS) · 20
Dynamic Sharing of GPUs in Cloud Systems
2013 · Khaled M. Diab, M. Mustafa Rafique, et al. · IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum · 20
A capabilities-aware framework for using computational accelerators in data-intensive computing
2010 · M. Mustafa Rafique, Ali R. Butt, et al. · Journal of Parallel and Distributed Computing · 20
CHOPPER: Optimizing Data Partitioning for In-memory Data Analytics Frameworks
2016 · Arnab Kumar Paul, Wenjie Zhuang, et al. · IEEE International Conference on Cluster Computing (CLUSTER) · 18
A Quantitative Study of Deep Learning Training on Heterogeneous Supercomputers
2019 · Jingoo Han, Luna Xu, et al. · IEEE International Conference on Cluster Computing (CLUSTER) · 17
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GPU-Enabled Asynchronous Multi-level Checkpoint Caching and Prefetching
2023 · Avinash Maurya, M. Mustafa Rafique, et al. · ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) · 16
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Evaluation of Data Locality Strategies for Hybrid Cloud Bursting of Iterative MapReduce
2017 · Francisco J. Clemente-Castello, Bogdan Nicolae, et al. · IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) · 16
On the Use of GPUs in Realizing Cost-Effective Distributed RAID
2012 · Aleksandr Khasymski, M. Mustafa Rafique, et al. · Proceedings - International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems · 15
Designing Accelerator-Based Distributed Systems for High Performance
2010 · M. Mustafa Rafique, Ali R. Butt, et al. · IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) · 15
Power management for heterogeneous clusters: An experimental study
2011 · M. Mustafa Rafique, Nishkam Ravi, et al. · International Green and Sustainable Computing Conference · 13
Deep Optimizer States: Towards Scalable Training of Transformer Models using Interleaved Offloading
2024 · Avinash Maurya, Jie Ye, et al. · International Middleware Conference · 12
Optimization of data-intensive workflows in stream-based data processing models
2017 · Saima Gulzar Ahmad, Chee Sun Liew, et al. · The Journal of Supercomputing · 12
Works count: 83
Citation count: 943
H-index: 17
I10-index: 33
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