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ORCIDVivek K. Pallipuram
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2020 – today
- 2022
[c11]Jerry Cearley, Vivek K. Pallipuram:
True-Ed Select Enters Social Computing: A Machine Learning Based University Selection Framework. FTC (3) 2022: 103-120- 2020
- [j5]David Samuel, Syeduzzaman Khan, Cody J. Balos
, Zachariah Abuelhaj, Anthony D. Dutoi, Chadi Kari, David Mueller, Vivek K. Pallipuram:
A2Cloud-RF: A random forest based statistical framework to guide resource selection for high-performance scientific computing on the cloud. Concurr. Comput. Pract. Exp. 32(24) (2020) - [c10]Lisa Her, Syeduzzaman Khan, David Samuel, Xusheng Ai, Sixia Chen, Vivek K. Pallipuram:
A2Cloud-cc: A Machine Learning Council to Guide Cloud Resource Selection for Scientific Applications. NCA 2020: 1-5
2010 – 2019
- 2019
- [c9]Chadi Kari, Sixia Chen, Sepehr Amir-Mohammadian, Vivek K. Pallipuram:
Data Migration in Large Scale Heterogeneous Storage Systems with Nodes to Spare. ICNC 2019: 854-858 - 2018
- [c8]Cody J. Balos, David de la Vega, Zachariah Abuelhaj, Chadi Kari, David Mueller, Vivek K. Pallipuram:
A2Cloud: An Analytical Model for Application-to-Cloud Matching to Empower Scientific Computing. IEEE CLOUD 2018: 548-555 - [p1]Vivek K. Pallipuram, Jinzhu Gao:
The Realm of Graphical Processing Unit (GPU) Computing. Topics in Parallel and Distributed Computing 2018: 191-241 - 2017
- [c7]Iain Murphy, Tyler Norlund, Vivek K. Pallipuram:
A best-features based digital rotoscope. ACSSC 2017: 243-247 - [c6]Gary Roberts, Sixia Chen, Chadi Kari, Vivek K. Pallipuram:
Data migration algorithms in heterogeneous storage systems: A comparative performance evaluation. NCA 2017: 105-108 - 2015
- [j4]Vivek K. Pallipuram, Melissa C. Smith, Nilim Sarma, Ranajeet Anand, Edwin Weill, Karan Sapra:
Subjective versus objective: classifying analytical models for productive heterogeneous performance prediction. J. Supercomput. 71(1): 162-201 (2015) - [c5]Ryan McKinney, Vivek K. Pallipuram, Rodrigo Vargas, Michela Taufer:
From HPC Performance to Climate Modeling: Transforming Methods for HPC Predictions into Models of Extreme Climate Conditions. e-Science 2015: 108-117 - [c4]Vivek K. Pallipuram, Trilce Estrada, Michela Taufer:
A Testing Engine for High-Performance and Cost-Effective Workflow Execution in the Cloud. ICPP 2015: 849-858 - 2014
- [j3]Vivek K. Pallipuram, Melissa C. Smith, Nimisha Raut, Xiaoyu Ren:
A regression-based performance prediction framework for synchronous iterative algorithms on general purpose graphical processing unit clusters. Concurr. Comput. Pract. Exp. 26(2): 532-560 (2014) - [c3]Vivek K. Pallipuram, Jeffrey DiMarco, Michela Taufer:
Applying frequency analysis techniques to dag-based workflows to benchmark and predict resource behavior on non-dedicated clusters. CLUSTER 2014: 29-37 - 2012
- [j2]Vivek K. Pallipuram, Mohammad Ashraf Bhuiyan, Melissa C. Smith:
A comparative study of GPU programming models and architectures using neural networks. J. Supercomput. 61(3): 673-718 (2012) - 2011
- [j1]Mohammad Ashraf Bhuiyan, Melissa C. Smith, Vivek K. Pallipuram:
Performance, optimization, and fitness: Connecting applications to architectures. Concurr. Comput. Pract. Exp. 23(10): 1066-1100 (2011) - 2010
- [c2]Mohammad Ashraf Bhuiyan, Vivek K. Pallipuram, Melissa C. Smith:
Acceleration of spiking neural networks in emerging multi-core and GPU architectures. IPDPS Workshops 2010: 1-8 - [c1]Mohammad Ashraf Bhuiyan, Ananth Nallamuthu, Melissa C. Smith, Vivek K. Pallipuram:
Optimization and performance study of large-scale biological networks for reconfigurable computing. HPRCTA@SC 2010: 1-9
Coauthor Index
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