Publications


Book Chapters

  • Aleksandr Khasymski, M. Mustafa Rafique, Ali R. Butt, Sudharshan S. Vazhkudai, and Dimitrios S. Nikolopoulos. Realizing Accelerated Cost-Effective Distributed RAID. Book chapter in "Handbook on Data Centers". Ed. by Samee Ullah Khan, Albert Y. Zomaya. Springer. ISBN: 978-1-4939-2091-4. January 2015.
  • M. Mustafa Rafique, Ali R. Butt, and Dimitrios S. Nikolopoulos. Programming and Managing Resources on Accelerator-Enabled Clusters. Book chapter in "Programming Multi-core and Many-core Computing Systems". Ed. by Sabri Pllana, Fatos Xhafa. Wiley Series on Parallel and Distributed Computing. Wiley-Blackwell. ISBN: 978-0-470-93690-0. March 2014.

Journal Publications

  • Anam Javaid, Asma Rafiq, Maaz Rehan, M. Mustafa Rafique, M. Kamran, and Ehsan Ullah Munir. Clustering-cum-Handover Management Scheme for Improved Internet Access in High-Density Mobile Wireless Environments. Journal of Sustainable Computing: Informatics and Systems, Elsevier North-Holland, Inc. Volume 30, ISSN: 1573–0484, June 2021. https://doi.org/10.1016/j.suscom.2020.100483.
  • Samia Ijaz, Ehsan Ullah Munir, Saima Gulzar Ahmad, M. Mustafa Rafique, and Omer F. Rana. Energy-makespan Optimization of Workflow Scheduling in Fog-cloud Computing. Journal of Computing, Springer. ISSN 1436-5057. March 2021. https://doi.org/10.1007/s00607-021-00930-0.
  • Hussain Aljafer, Zaki Malik, Khayyam Hashmi, and M. Mustafa Rafique. Profit Maximization in Long-Term e-Service Agreements. International Journal of Business Information Systems (IJBIS). Inderscience Publishers (IEL). Volume 36, Issue 4, pp. 506–526, March 2021.
  • Zaki Malik, Erfan Najmi, Khayyam Hashmi, M. Mustafa Rafique, and Abdelmounaam Rezgui. Product Weighted Taxonomy Extraction using Twitter. International Journal of Business Information Systems (IJBIS), December 2019 (Accepted).
  • Saima Gulzar Ahmad, Chee Sun Liew, M. Mustafa Rafique, and Ehsan Ullah Munir. Optimization of data-intensive workflows in stream-based data processing models. The Journal of Supercomputing, Springer US. ISSN: 1573–0484, 2017.
  • Muhammad Aslam, Ehsan Ullah Munir, M. Mustafa Rafique, and Xiaopeng Hu. Adaptive Energy-Efficient Clustering Path Planning Routing Protocols for Heterogeneous Wireless Sensor Networks. Journal of Sustainable Computing: Informatics and Systems, Elsevier North-Holland, Inc. Volume 12, pp. 57–71, ISSN 2210-5379. December 2016.
  • Madiha Hanif, Abdul Hafeez, Yusuf Suleman, M. Mustafa Rafique, Ali R. Butt, and Samir M. Iqbal. An Accelerated Framework for the Classification of Biological Targets from Solid-state Micropore Data. Journal of Computer Methods and Programs in Biomedicine, Elsevier North-Holland, Inc. Volume 134, Issue C, pp. 53–67, ISSN: 0169-2607, October 2016.
  • Asma Rafiq, Ehsan Ullah Munir, and M. Mustafa Rafique. Eliminating the State of Ping-Pong for Mobile IP Optimization. Wireless Personal Communications (WPC), Springer US. Volume 84, Issue 4, pp. 2975–2988. May 2015.
  • Abdul Hafeez, Waseem Asghar, M. Mustafa Rafique, Samir M. Iqbal, and Ali R. Butt. GPU-based Real Time Detection and Analysis of Biological Molecules using Solid-state Nanopores. Journal of Medical and Biological Engineering and Computing (MBEC), Springer US. Volume 50, Issue 6, pp. 605–615. March 2012 (Impact Factor: 1.791).
  • M. Mustafa Rafique, Ali R. Butt, and Eli Tilevich. Reusable Software Components for Accelerator-based Clusters. Journal of Systems and Software (JSS), Elsevier Science Inc. Volume 84, Issue 7, pp. 1071–1081. July 2011.
  • M. Mustafa Rafique, Ali R. Butt, and Dimitrios S. Nikolopoulos. A Capabilities-Aware Framework for Using Computational Accelerators in Data-Intensive Computing. Journal of Parallel and Distributed Computing (JPDC), Elsevier Science Inc. Volume 71, Issue 2, pp. 185–197. February 2011.
  • M. Mustafa Rafique, Benjamin Rose, Ali R. Butt, and Dimitrios S. Nikolopoulos. Supporting MapReduce on Large-Scale Asymmetric Multi-core Clusters. ACM SIGOPS Operating Systems Review (OSR), ACM. Volume 43, Issue 2, pp. 25–34. April 2009.

Conference Publications

  • Moiz Arif, Avinash Maurya, M. Mustafa Rafique, Dimitrios S. Nikolopoulos, and Ali R. Butt. Application-Attuned Memory Management for Containerized HPC Workflows. In Proceedings of the 38th IEEE International Parallel & Distributed Processing Symposium (IPDPS), San Francisco, California, USA, May 2024.
  • Kevin Assogba, Bogdan Nicolae, and M. Mustafa Rafique. Optimizing the Training of Co-Located Deep Learning Models Using Cache-Aware Staggering. In Proceedings of the 30th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC), Goa, India, December 2023. Best Paper Nominee
  • Avinash Maurya, Bogdan Nicolae, M. Mustafa Rafique, and Franck Cappello. Towards Efficient I/O Pipelines using Accumulated Compression. In Proceedings of the 30th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC), Goa, India, December 2023.
  • Kevin Assogba, Eduardo Lima, M. Mustafa Rafique, and Minseok Kwon. PredictDDL: Reusable Workload Performance Prediction for Distributed Deep Learning. In Proceedings of the 25th IEEE International Conference on Cluster Computing (Cluster), Santa Fe, New Mexico, USA, October 2023.
  • Avinash Maurya, Bogdan Nicolae, M. Mustafa Rafique, Thierry Tonellot, Franck Cappello, and Hussain J. AlSalem. GPU-Enabled Asynchronous Multi-level Checkpoint Caching and Prefetching. In Proceedings of the 32nd ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC), Orlando, Florida, USA, June 2023.
  • Avinash Maurya, Bogdan Nicolae, M. Mustafa Rafique, Amr M. Elsayed, Thierry Tonellot, and Franck Cappello. Towards Efficient Cache Allocation for High-Frequency Checkpointing. In Proceedings of the 29th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC), Bangalore, India, December 2022. Best Paper Award
  • Moiz Arif, Kevin Assogba, and M. Mustafa Rafique. Canary: Fault-tolerant FaaS for Stateful Time-sensitive Applications. In Proceedings of the 35th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC), Dallas, TX, USA, November 2022.
  • Moiz Arif, Kevin Assogba, M. Mustafa Rafique, and Sudharshan S. Vazhkudai. Exploiting CXL-based Memory for Distributed Deep Learning. In Proceedings of the 51st International Conference on Parallel Processing (ICPP), Bordeaux, France, August 2022.
  • Kevin Assogba, Moiz Arif, M. Mustafa Rafique, Dimitrios S. Nikolopoulos. On Realizing Efficient Deep Learning Using Serverless Computing. In Proceedings of the 22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), Taormina (Messina), Italy, May 2022.
  • Avinash Maurya, Bogdan Nicolae, M. Mustafa Rafique, Thierry Tonellot, and Franck Cappello. Towards Efficient I/O Scheduling for Collaborative Multi-Level Checkpointing. In Proceedings of the 29th IEEE International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS), November 2021.
  • Moiz Arif, M. Mustafa Rafique, Seung-Hwan Lim, and Zaki Malik. Infrastructure-Aware TensorFlow for Heterogeneous Datacenters. In Proceedings of the 28th IEEE International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS), Nice, France, November 2020.
  • Avinash Maurya, Bogdan Nicolae, Ishan Guliani, and M. Mustafa Rafique. CoSim: A Simulator for Co-Scheduling of Batch and On-Demand Jobs in HPC Datacenters. In Proceedings of the 24th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications (DS-RT), Prague, Czech Republic, September 2020.
  • Minseok Kwon, Krishna Prasad Neupane, John Marshall, and M. Mustafa Rafique. CuVPP: Filter-based Longest Prefix Matching in Software Data Planes. In Proceedings of the 22nd IEEE International Conference on Cluster Computing (Cluster), Kobe, Japan, September 2020. Best Paper Award
  • Jingoo Han, M. Mustafa Rafique, Luna Xu, Ali R. Butt, Seung-Hwan Lim, and Sudharshan S. Vazhkudai. MARBLE: A Multi-GPU Aware Job Scheduler for Deep Learning on HPC Systems. In Proceedings of the 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), Melbourne, Victoria, Australia, May 2020.
  • Jingoo Han, Luna Xu, M. Mustafa Rafique, Ali R. Butt, and Seung-Hwan Lim. A Quantitative Study of Deep Learning Training on Heterogeneous Supercomputers. In Proceedings of the 21st IEEE International Conference on Cluster Computing (Cluster), Albuquerque, NM, USA, September 2019.
  • Francisco J. Clemente-Castell ´o, Bogdan Nicolae, M. Mustafa Rafique, Rafael Mayo, and Juan Carlos Fern´andez. Evaluation of Data Locality Strategies for Hybrid Cloud Bursting of Iterative MapReduce. In Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), Madrid, Spain, May 2017.
  • Muhammad Fasih Akbar, Ehsan Ullah Munir, M. Mustafa Rafique, Zaki Malik, Samee U. Khan, and Laurence T. Yang. List-Based Task Scheduling for Cloud Computing. In Proceedings of the 12th IEEE International Conference on Green Computing and Communications (GreenCom), Chengdu, China, December 2016.
  • Francisco J. Clemente-Castell ´o, Bogdan Nicolae, M. Mustafa Rafique, Rafael Mayo, and Juan Carlos Fern´andez. On Exploiting Data Locality for Iterative MapReduce Applications in Hybrid Clouds. In Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT), Shanghai, China, December 2016.
  • Arnab Kumar Paul, Wenjie Zhuang, Luna Xu, Min Li, M. Mustafa Rafique, and Ali R. Butt. CHOPPER: Optimizing Data Partitioning for In-Memory Data Analytics Frameworks. In Proceedings of the 18th IEEE International Conference on Cluster Computing (Cluster), Taipei, Taiwan, September 2016.
  • Krish K. R., Bharti Wadhwa, M. Safdar Iqbal, M. Mustafa Rafique, and Ali R. Butt. On Efficient Hierarchical Storage for Big Data Processing. In Proceedings of the 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), Cartagena, Colombia, May 2016.
  • Francisco J. Clemente-Castell ´o, Bogdan Nicolae, Kostas Katrinis, M. Mustafa Rafique, Rafael Mayo, Juan Carlos Fern´andez, and Daniela Loreti. Enabling Big Data Analytics in the Hybrid Cloud using Iterative MapReduce. In Proceedings of the 8th IEEE/ACM International Conference on Utility and Cloud Computing (UCC), Limassol, Cyprus, December 2015.
  • Asma Rafiq, Ehsan Ullah Munir, M. Mustafa Rafique, and Samee U. Khan. A Consistent Approach Towards Clustering in Low Energy Adaptive Clustering Hierarchy Protocol. In Proceedings of the 12th IEEE International Conference on High-Capacity Optical Networks and Enabling/Emerging Technologies — Information and Communication Technologies (HONET-ICT), Islamabad, Pakistan, December 2015.
  • Anum Masood, Ehsan Ullah Munir, M. Mustafa Rafique, and Samee U. Khan. HETS: Heterogeneous Edge and Task Scheduling Algorithm for Heterogeneous Computing Systems. In Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications (HPCC), New York, NY, USA, August 2015.
  • Alessandro Portosa, M. Mustafa Rafique, Spyros Kotoulas, Luca Foschini, and Antonio Corradi. Heterogeneous Cloud Systems Monitoring Using Semantic and Linked Data Technologies. In Proceedings of the IEEE/IFIP International Symposium on Integrated Network Management (IM), Ottawa, Canada, May 2015.
  • Saima Gulzar Ahmad, Chee Sun Liew, M. Mustafa Rafique, Ehsan Ullah Munir, and Samee U. Khan. Data-Intensive Workflow Optimization based on Application Task Graph Partitioning in Heterogeneous Computing Systems. In Proceedings of the 4th IEEE International Conference on Big Data and Cloud Computing (BDCloud), Sydney, Australia, December 2014.
  • Ehsan Ullah Munir, Muhammad Aslam, Tauseef Shah, and M. Mustafa Rafique. An Advanced Heterogeneity-aware Centralized Energy Efficient Clustering Routing Protocol for Wireless Sensor Networks. In Proceedings of the 5th International Green Computing Conference (IGCC), Dallas, TX, USA, November 2014.
  • Abdelmounaam Rezgui, Gary Quezada, M. Mustafa Rafique, and Zaki Malik. A Capacity Allocation Approach for Volunteer Cloud Federations Using Poisson-Gamma Gibbs Sampling. In Proceedings of the 7th IEEE International Conference on Cloud Computing (CLOUD), Anchorage, AK, USA, June 2014.
  • Abdul Hafeez, M. Mustafa Rafique, and Ali R. Butt. Distributed Detection of Cancer Cells in High-Throughput Cellular Spike Streams. In Proceedings of the 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), Chicago, IL, USA, May 2014.
  • Abdul Hafeez, M. Mustafa Rafique and Ali R. Butt. C-Cell Detector: High-Throughput Data Processing Framework for the Detection and Identification of Biological Targets using Solid-State Micropores. In Proceedings of the 6th International Conference on Bioinformatics and Computational Biology (BICOB), Las Vegas, NV, USA, March 2014.
  • Bogdan Nicolae, and M. Mustafa Rafique. Leveraging Collaborative Content Exchange for On-Demand VM Multi-Deployments in IaaS Clouds. In Proceedings of the 19th International European Conference on Parallel and Distributed Computing (Euro-Par), Aachen, Germany, August 2013.
  • Aleksandr Khasymski, M. Mustafa Rafique, Ali R. Butt, Sudharshan S. Vazhkudai, and Dimitrios S. Nikolopoulos. On the Use of GPUs in Realizing Cost-Effective Distributed RAID. In Proceedings of the IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS’12), Arlington, VA, USA, August 2012.
  • M. Mustafa Rafique, Srihari Cadambi, Kunal Rao, Ali R. Butt and Srimat Chakradhar. Symphony: A Scheduler for Client-Server Applications on Coprocessor-based Heterogeneous Clusters. In Proceedings of the 13th IEEE International Conference on Cluster Computing (Cluster), Austin, TX, USA, September 2011.
  • M. Mustafa Rafique, Nishkam Ravi, Srihari Cadambi, Ali R. Butt and Srimat Chakradhar. Power Management for Heterogeneous Clusters: An Experimental Study. In Proceedings of the 2nd IEEE International Green Computing Conference (IGCC), Orlando, FL, USA, July 2011.
  • M. Mustafa Rafique, Ali R. Butt, and Dimitrios S. Nikolopoulos. Designing Accelerator-Based Distributed Systems for High Performance. In Proceedings of the 10th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), Melbourne, Australia, May 2010. (AR: 23%).
  • M. Mustafa Rafique. A Capabilities-Aware Programming Model for Asymmetric High-End Systems. In Proceedings of the 3rd IEEE Technical Committee on Scalable Computing (TCSC) Doctoral Symposium, in conjunction with the 10th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGrid), Melbourne, Australia, May 2010.
  • M. Mustafa Rafique, Benjamin Rose, Ali R. Butt, and Dimitrios S. Nikolopoulos. CellMR: A Framework for Supporting MapReduce on Asymmetric Cell-based Clusters. In Proceedings of the 23rd IEEE International Parallel and Distributed Processing Symposium (IPDPS), Rome, Italy, May 2009 (AR: 22.7%).
  • M. Mustafa Rafique, Ali R. Butt, and Dimitrios S. Nikolopoulos. DMA-based Prefetching for I/O-Intensive Workloads on the Cell Architecture. In Proceedings of the 5th ACM International Conference on Computing Frontiers (CF), Ischia, Italy, May 2008 (AR: 27.3%).

Short Papers, Posters, and Other Refereed Publications

  • Yuze Li, Shunyu Yao, Jaiaid Mobin, M. Mustafa Rafique, Dimitrios Nikolopoulos, Kirshanthan Sundararajah, Huaicheng Li, and Ali R. Butt. Towards Efficient Python Interpreter for Tiered Memory Systems. In Proceedings of the Refereed Poster and Work-in-Progress Reports (WiPs) at the 22nd USENIX Conference on File and Storage Technologies (FAST), Santa Clara, CA, February 2024.
  • Kevin Assogba, Bogdan Nicolae, Hubertus Van Dam, and M. Mustafa Rafique. Asynchronous Multi-Level Checkpointing: An Enabler of Reproducibility using Checkpoint History Analytics. In Proceedings of the 4th International Symposium on Checkpointing for Supercomputing (SuperCheck-SC23), Denver, Colorado, USA, November 2023.
  • Moiz Arif, Avinash Maurya, and M. Mustafa Rafique. Accelerating Performance of GPU-based Workloads using CXL. In Proceedings of the 13th workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures (FlexScience), Orlando, Florida, USA, June 2023.
  • Jaiaid Mobin, Avinash Maurya, and M. Mustafa Rafique. COLTI: Towards Concurrent and Co-located DNN Training and Inference. Refereed poster and extended abstract in the Proceedings of the 32nd ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC), Orlando, Florida, USA, June 2023. Best Poster Award
  • Avinash Maurya, Jaiaid Mobin, and M. Mustafa Rafique. Towards Data Gravity and Compliance Aware Distributed Deep Learning on Hybrid Clouds. In Proceedings of the International Workshop on Data Fabric for Hybrid Clouds (WDFHC), Bangalore, India, December 2022.
  • Garegin Grigoryan, Minseok Kwon, and M. Mustafa Rafique. Extending the Control Plane of Container Orchestrators for I/O Virtualization. In Proceedings of the 2nd International Workshop on Containers and New Orchestration Paradigms for Isolated Environments in HPC (CANOPIE HPC), Atlanta, Georgia, USA, November 2020.
  • Coleman Link, Jesse Sarran, Garegin Grigoryan, Minseok Kwon, M. Mustafa Rafique, and Warren R. Carithers. Container Orchestration by Kubernetes for RDMA Networking. In Proceedings of the 27th IEEE International Conference on Network Protocols (ICNP), Chicago, IL, USA, October 2019.
  • Konstantinos Tovletoglou, Charalampos Chalios, Georgios Karakonstantis, Lev Mukhanov, Hans Vandierendonck, Dimitrios S. Nikolopoulos, Panos Koutsovasilis, Manolis Maroudas, Christos Antonopoulos, Christos Kalogirou, Nikos Bellas, Spyros Lalis, M. Mustafa Rafique, Srikumar Venugopal, Arnau Prat-Perez, Andreas Diavastos, Zacharias Hadjilambrou, Panagiota Nikolaou, Yiannakis Sazeides, Pedro Trancoso, George Papadimitriou, Manolis Kaliorakis, Athanasios Chatzidimitriou and Dimitris Gizopoulos. An Energy-Efficient and Error-Resilient Server Ecosystem Exceeding Conservative Scaling Limits. Workshop on Energy-efficient Servers for Cloud and EdgeComputing (ENeSCE), Stockholm, Sweden, January, 2017.
  • Krish K. R., M. Safdar Iqbal, M. Mustafa Rafique, and Ali R. Butt. Towards Energy Awareness in Hadoop. In Proceedings of the 4th International Workshop on Network-Aware Data Management (NDM), New Orleans, LA, USA, November 2014.
  • Krish K. R., M. Safdar Iqbal, and M. Mustafa Rafique. GreenSched: A Hadoop Workflow Scheduler for Microservers. In Proceedings of the IEEE International Workshop on Green Programming, Computing, and Data Processing (GPCDP), Dallas, TX, USA, November 2014.
  • Spyros Kotoulas, Vanessa Lopez, Martin Stephenson, Pierpaolo Tommasi, Wei Jia Shen, Gang Hu, Marco Luca Sbodio, Veli Bicer, Anastasios Kementsietsidis, M. Mustafa Rafique, Jason Ellis, Thomas Erickson, Kavitha Srinivas, Kevin McAuliffe, Guo Tong Xie, and Pol Mac Aonghusa. Link2Outcome: Coordinating Social Care and Healthcare using Semantic Web Technologies. Refereed short paper at the Posters and Demonstrations Track in the 12th International Semantic Web Conference (ISWC), Sydney, Australia, October 2013.
  • Khaled Diab, M. Mustafa Rafique, and Mohamed Hefeeda. Dynamic Sharing of GPUs in Cloud Systems. In Proceedings of the 10th High-Performance Grid and Cloud Computing Workshop (HPGC), Phoenix, AZ, USA, May 2013.
  • M. Mustafa Rafique (Adviser: Ali R. Butt). A Capabilities-Aware Programming Model for Asymmetric HighEnd Systems. IEEE Technical Committee on Parallel Processing (TCPP) Ph.D. Forum (Refereed Competitive Poster), in conjunction with the 23rd IEEE International Parallel and Distributed Processing Symposium (IPDPS), Rome, Italy, May 2009.
  • M. Mustafa Rafique, Ali R. Butt, and Dimitrios S. Nikolopoulos. Supporting Data-Intensive Applications on Accelerator-Based Distributed Systems. Refereed Poster at the 7th USENIX Conference on File and Storage Technologies (FAST), San Francisco, CA, February 2009.
  • M. Mustafa Rafique, Ali R. Butt, and Dimitrios S. Nikolopoulos. Supporting I/O-Intensive Workloads on the Cell Architecture. Refereed Poster in 6th USENIX Conference on File and Storage Technologies (FAST), San Jose, CA, February 2008.
  • Muhammad Mustafa Rafique. Synthesis of /ikis/ (21) And /bais/ (22). Urdu Research Magazine, National Language Authority, June, 2002.
  • Khurram Riaz, Muhammad Mustafa Rafique, and Syed Raza Shahid. Vowel Insertion Grammar. Urdu Research Magazine, National Language Authority, June, 2002.
  • Abdul Mannan Saleem, Hasan Kabir, Muhammad Khurram Riaz, Muhammad Mustafa Rafique, Nauman Khalid, and Syed Raza Shahid. Urdu Consonantal and Vocalic Sounds. Urdu Research Magazine, National Language Authority, June, 2002.

Contact


Inquiries should be sent to M. Mustafa Rafique.

20 Lomb Memorial Drive, 70-3635
Rochester, NY 14623
mrafique AT cs DOT rit DOT edu
+1 (585) 475-4528