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ORCIDM. Mustafa Rafique
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2020 – today
- 2024
[c46]Avinash Maurya
, Jie Ye, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae:
Breaking the Memory Wall: A Study of I/O Patterns and GPU Memory Utilization for Hybrid CPU-GPU Offloaded Optimizers. FlexScience@HPDC 2024: 9-16- [c45]Avinash Maurya, Robert Underwood, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae:
DataStates-LLM: Lazy Asynchronous Checkpointing for Large Language Models. HPDC 2024: 227-239 - [c44]Moiz Arif, Avinash Maurya, M. Mustafa Rafique, Dimitrios S. Nikolopoulos, Ali Raza Butt:
Application-Attuned Memory Management for Containerized HPC Workflows. IPDPS 2024: 114-127 - [i2]Avinash Maurya, Robert Underwood, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae:
DataStates-LLM: Lazy Asynchronous Checkpointing for Large Language Models. CoRR abs/2406.10707 (2024) - [i1]Avinash Maurya, Jie Ye, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae:
Breaking the Memory Wall: A Study of I/O Patterns and GPU Memory Utilization for Hybrid CPU-GPU Offloaded Optimizers. CoRR abs/2406.10728 (2024) - 2023
- [c43]Kevin Assogba, Eduardo Lima, M. Mustafa Rafique, Minseok Kwon:
PredictDDL: Reusable Workload Performance Prediction for Distributed Deep Learning. CLUSTER 2023: 13-24 - [c42]Moiz Arif, Avinash Maurya, M. Mustafa Rafique:
Accelerating Performance of GPU-based Workloads Using CXL. FlexScience@HPDC 2023: 27-31 - [c41]Kevin Assogba, Bogdan Nicolae, M. Mustafa Rafique:
Optimizing the Training of Co-Located Deep Learning Models Using Cache-Aware Staggering. HiPC 2023: 246-255 - [c40]Avinash Maurya, Bogdan Nicolae, M. Mustafa Rafique, Franck Cappello:
Towards Efficient I/O Pipelines Using Accumulated Compression. HiPC 2023: 256-265 - [c39]Avinash Maurya, M. Mustafa Rafique, Thierry Tonellot, Hussain J. AlSalem, Franck Cappello, Bogdan Nicolae:
GPU-Enabled Asynchronous Multi-level Checkpoint Caching and Prefetching. HPDC 2023: 73-85 - [c38]Jaiaid Mobin, Avinash Maurya, M. Mustafa Rafique:
COLTI: Towards Concurrent and Co-located DNN Training and Inference. HPDC 2023: 309-310 - [c37]Kevin Assogba, Bogdan Nicolae, Hubertus Van Dam, M. Mustafa Rafique:
Asynchronous Multi-Level Checkpointing: An Enabler of Reproducibility using Checkpoint History Analytics. SC Workshops 2023: 1748-1756 - 2022
- [j12]Zaki Malik, Erfan Najmi, Khayyam Hashmi, M. Mustafa Rafique, Abdelmounaam Rezgui:
Product weighted taxonomy extraction using Twitter. Int. J. Bus. Inf. Syst. 39(4): 497-515 (2022) - [c36]Kevin Assogba, Moiz Arif, M. Mustafa Rafique, Dimitrios S. Nikolopoulos:
On Realizing Efficient Deep Learning Using Serverless Computing. CCGRID 2022: 220-229 - [c35]Avinash Maurya, Jaiaid Mobin, M. Mustafa Rafique:
Towards Data Gravity and Compliance Aware Distributed Deep Learning on Hybrid Clouds. HiPCW 2022: 53-58 - [c34]Avinash Maurya, Bogdan Nicolae, M. Mustafa Rafique, Amr M. Elsayed, Thierry Tonellot, Franck Cappello:
Towards Efficient Cache Allocation for High-Frequency Checkpointing. HIPC 2022: 262-271 - [c33]Moiz Arif, Kevin Assogba, M. Mustafa Rafique, Sudharshan Vazhkudai:
Exploiting CXL-based Memory for Distributed Deep Learning. ICPP 2022: 19:1-19:11 - [c32]Moiz Arif, Kevin Assogba, M. Mustafa Rafique:
Canary: Fault-Tolerant FaaS for Stateful Time-Sensitive Applications. SC 2022: 41:1-41:16 - 2021
- [j11]Samia Ijaz, Ehsan Ullah Munir, Saima Gulzar Ahmad, M. Mustafa Rafique, Omer F. Rana:
Energy-makespan optimization of workflow scheduling in fog-cloud computing. Computing 103(9): 2033-2059 (2021) - [j10]Hussain Aljafer, Zaki Malik, Khayyam Hashmi, M. Mustafa Rafique:
Profit maximisation in long-term e-service agreements. Int. J. Bus. Inf. Syst. 36(4): 506-526 (2021) - [j9]Anam Javaid, Asma Rafiq, Maaz Rehan, M. Mustafa Rafique, Muhammad Kamran, Ehsan Ullah Munir:
Clustering-cum-Handover Management Scheme for improved Internet access in high-density mobile wireless environments. Sustain. Comput. Informatics Syst. 30: 100483 (2021) - [c31]Avinash Maurya, Bogdan Nicolae, M. Mustafa Rafique, Thierry Tonellot, Franck Cappello:
Towards Efficient I/O Scheduling for Collaborative Multi-Level Checkpointing. MASCOTS 2021: 1-8 - 2020
- [c30]Jingoo Han, M. Mustafa Rafique, Luna Xu, Ali Raza Butt, Seung-Hwan Lim, Sudharshan S. Vazhkudai:
MARBLE: A Multi-GPU Aware Job Scheduler for Deep Learning on HPC Systems. CCGRID 2020: 272-281 - [c29]Minseok Kwon, Krishna Prasad Neupane, John Marshall, M. Mustafa Rafique:
CuVPP: Filter-based Longest Prefix Matching in Software Data Planes. CLUSTER 2020: 12-22 - [c28]Avinash Maurya, Bogdan Nicolae, Ishan Guliani, M. Mustafa Rafique:
CoSim: A Simulator for Co-Scheduling of Batch and On-Demand Jobs in HPC Datacenters. DS-RT 2020: 1-8 - [c27]Moiz Arif, M. Mustafa Rafique, Seung-Hwan Lim, Zaki Malik:
Infrastructure-Aware TensorFlow for Heterogeneous Datacenters. MASCOTS 2020: 1-8 - [c26]Garegin Grigoryan, Minseok Kwon, M. Mustafa Rafique:
Extending the Control Plane of Container Orchestrators for I/O Virtualization. CANOPIE-HPC@SC 2020: 1-7
2010 – 2019
- 2019
- [c25]Jingoo Han, Luna Xu, M. Mustafa Rafique, Ali Raza Butt, Seung-Hwan Lim:
A Quantitative Study of Deep Learning Training on Heterogeneous Supercomputers. CLUSTER 2019: 1-12 - [c24]Coleman Link, Jesse Sarran, Garegin Grigoryan, Minseok Kwon, M. Mustafa Rafique, Warren R. Carithers:
Container Orchestration by Kubernetes for RDMA Networking. ICNP 2019: 1-2 - 2017
- [j8]Saima Gulzar Ahmad, Chee Sun Liew, M. Mustafa Rafique, Ehsan Ullah Munir:
Optimization of data-intensive workflows in stream-based data processing models. J. Supercomput. 73(9): 3901-3923 (2017) - [c23]Francisco J. Clemente-Castelló, Bogdan Nicolae, M. Mustafa Rafique, Rafael Mayo, Juan Carlos Fernández:
Evaluation of Data Locality Strategies for Hybrid Cloud Bursting of Iterative MapReduce. CCGrid 2017: 181-185 - 2016
- [j7]Madiha Hanif, Abdul Hafeez, Yusuf Suleman, M. Mustafa Rafique, Ali Raza Butt, Samir M. Iqbal:
An accelerated framework for the classification of biological targets from solid-state micropore data. Comput. Methods Programs Biomed. 134: 53-67 (2016) - [j6]Muhammad Aslam, Ehsan Ullah Munir, M. Mustafa Rafique, Xiaopeng Hu:
Adaptive energy-efficient clustering path planning routing protocols for heterogeneous wireless sensor networks. Sustain. Comput. Informatics Syst. 12: 57-71 (2016) - [c22]Francisco J. Clemente-Castelló, Bogdan Nicolae, Rafael Mayo, Juan Carlos Fernández, M. Mustafa Rafique:
On exploiting data locality for iterative mapreduce applications in hybrid clouds. BDCAT 2016: 118-122 - [c21]Krish K. R., Bharti Wadhwa, M. Safdar Iqbal, M. Mustafa Rafique, Ali Raza Butt:
On Efficient Hierarchical Storage for Big Data Processing. CCGrid 2016: 403-408 - [c20]Arnab Kumar Paul, Wenjie Zhuang, Luna Xu, Min Li, M. Mustafa Rafique, Ali Raza Butt:
CHOPPER: Optimizing Data Partitioning for In-memory Data Analytics Frameworks. CLUSTER 2016: 110-119 - [c19]Muhammad Fasih Akbar, Ehsan Ullah Munir, M. Mustafa Rafique, Zaki Malik, Samee U. Khan, Laurence T. Yang:
List-Based Task Scheduling for Cloud Computing. iThings/GreenCom/CPSCom/SmartData 2016: 652-659 - 2015
- [j5]Asma Rafiq, Ehsan Ullah Munir, M. Mustafa Rafique:
Eliminating the State of Ping-Pong for Mobile IP Optimization. Wirel. Pers. Commun. 84(4): 2975-2988 (2015) - [c18]Anum Masood, Ehsan Ullah Munir, M. Mustafa Rafique, Samee Ullah Khan:
HETS: Heterogeneous Edge and Task Scheduling Algorithm for Heterogeneous Computing Systems. HPCC/CSS/ICESS 2015: 1865-1870 - [c17]Alessandro Portosa, M. Mustafa Rafique, Spyros Kotoulas, Luca Foschini, Antonio Corradi:
Heterogeneous cloud systems monitoring using semantic and linked data technologies. IM 2015: 497-503 - [c16]Francisco J. Clemente-Castelló, Bogdan Nicolae, Kostas Katrinis, M. Mustafa Rafique, Rafael Mayo, Juan Carlos Fernández, Daniela Loreti:
Enabling Big Data Analytics in the Hybrid Cloud Using Iterative MapReduce. UCC 2015: 290-299 - [r1]Aleksandr Khasymski, M. Mustafa Rafique, Ali Raza Butt, Sudharshan S. Vazhkudai, Dimitrios S. Nikolopoulos:
Realizing Accelerated Cost-Effective Distributed RAID. Handbook on Data Centers 2015: 729-752 - 2014
- [c15]Abdelmounaam Rezgui, Gary Quezada, M. Mustafa Rafique, Zaki Malik:
A Capacity Allocation Approach for Volunteer Cloud Federations Using Poisson-Gamma Gibbs Sampling. IEEE CLOUD 2014: 288-295 - [c14]Saima Gulzar Ahmad, Chee Sun Liew, M. Mustafa Rafique, Ehsan Ullah Munir, Samee U. Khan:
Data-Intensive Workflow Optimization Based on Application Task Graph Partitioning in Heterogeneous Computing Systems. BDCloud 2014: 129-136 - [c13]Abdul Hafeez, M. Mustafa Rafique, Ali Raza Butt:
Distributed Detection of Cancer Cells in High-Throughput Cellular Spike Streams. CCGRID 2014: 774-783 - [c12]Ehsan Ullah Munir, Muhammad Aslam, Tauseef Shah, M. Mustafa Rafique:
An advanced heterogeneity-aware centralized energy efficient clustering routing protocol for wireless sensor networks. IGCC 2014: 1-10 - [c11]Krish K. R., M. Safdar Iqbal, M. Mustafa Rafique, Ali Raza Butt:
Towards energy awareness in Hadoop. NDM@SC 2014: 16-22 - 2013
- [c10]Bogdan Nicolae, M. Mustafa Rafique:
Leveraging Collaborative Content Exchange for On-Demand VM Multi-deployments in IaaS Clouds. Euro-Par 2013: 305-316 - [c9]Khaled M. Diab, M. Mustafa Rafique, Mohamed Hefeeda:
Dynamic Sharing of GPUs in Cloud Systems. IPDPS Workshops 2013: 947-954 - [c8]Spyros Kotoulas, Vanessa López, Martin Stephenson, Pierpaolo Tommasi, Weijia Shen, Gang Hu, Marco Luca Sbodio, Veli Bicer, Anastasios Kementsietsidis, M. Mustafa Rafique, Jason B. Ellis, Thomas Erickson, Kavitha Srinivas, Kevin McAuliffe, Guo Tong Xie, Pol Mac Aonghusa:
Coordinating Social Care and Healthcare using Semantic Web Technologies. ISWC (Posters & Demos) 2013: 169-172 - 2012
- [j4]Abdul Hafeez, Waseem Asghar, M. Mustafa Rafique, Samir M. Iqbal, Ali Raza Butt:
GPU-based real-time detection and analysis of biological targets using solid-state nanopores. Medical Biol. Eng. Comput. 50(6): 605-615 (2012) - [c7]Aleksandr Khasymski, M. Mustafa Rafique, Ali Raza Butt, Sudharshan S. Vazhkudai, Dimitrios S. Nikolopoulos:
On the Use of GPUs in Realizing Cost-Effective Distributed RAID. MASCOTS 2012: 469-478 - 2011
- [b1]Muhammad Mustafa Rafique:
An Adaptive Framework for Managing Heterogeneous Many-Core Clusters. Virginia Tech, Blacksburg, VA, USA, 2011 - [j3]M. Mustafa Rafique, Ali Raza Butt, Dimitrios S. Nikolopoulos:
A capabilities-aware framework for using computational accelerators in data-intensive computing. J. Parallel Distributed Comput. 71(2): 185-197 (2011) - [j2]M. Mustafa Rafique, Ali Raza Butt, Eli Tilevich:
Reusable software components for accelerator-based clusters. J. Syst. Softw. 84(7): 1071-1081 (2011) - [c6]M. Mustafa Rafique, Srihari Cadambi, Kunal Rao, Ali Raza Butt, Srimat T. Chakradhar:
Symphony: A Scheduler for Client-Server Applications on Coprocessor-Based Heterogeneous Clusters. CLUSTER 2011: 353-362 - [c5]M. Mustafa Rafique, Nishkam Ravi, Srihari Cadambi, Ali Raza Butt, Srimat T. Chakradhar:
Power management for heterogeneous clusters: An experimental study. IGCC 2011: 1-8 - 2010
- [c4]M. Mustafa Rafique, Ali Raza Butt, Dimitrios S. Nikolopoulos:
Designing Accelerator-Based Distributed Systems for High Performance. CCGRID 2010: 165-174 - [c3]M. Mustafa Rafique:
A Capabilities-Aware Programming Model for Asymmetric High-End Systems. CCGRID 2010: 844-849
2000 – 2009
- 2009
- [j1]M. Mustafa Rafique, Benjamin Rose, Ali Raza Butt, Dimitrios S. Nikolopoulos:
Supporting MapReduce on large-scale asymmetric multi-core clusters. ACM SIGOPS Oper. Syst. Rev. 43(2): 25-34 (2009) - [c2]M. Mustafa Rafique, Benjamin Rose, Ali Raza Butt, Dimitrios S. Nikolopoulos:
CellMR: A framework for supporting mapreduce on asymmetric cell-based clusters. IPDPS 2009: 1-12 - 2008
- [c1]M. Mustafa Rafique, Ali Raza Butt, Dimitrios S. Nikolopoulos:
DMA-based prefetching for i/o-intensive workloads on the cell architecture. Conf. Computing Frontiers 2008: 23-32
Coauthor Index
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