Vivek K. Pallipuram

Publication Activity (10 Years)

Years Active: 2010-2022
Publications (10 Years): 7

Top Topics

Workflow Execution

Analytical Models

Scientific Computing

Top Venues

Concurr. Comput. Pract. Exp.

Publications

Jerry Cearley, Vivek K. Pallipuram
True-Ed Select Enters Social Computing: A Machine Learning Based University Selection Framework. FTC (3) (2022)
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)
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)
Chadi Kari, Sixia Chen, Sepehr Amir-Mohammadian, Vivek K. Pallipuram
Data Migration in Large Scale Heterogeneous Storage Systems with Nodes to Spare. ICNC (2019)
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)
Gary Roberts, Sixia Chen, Chadi Kari, Vivek K. Pallipuram
Data migration algorithms in heterogeneous storage systems: A comparative performance evaluation. NCA (2017)
Iain Murphy, Tyler Norlund, Vivek K. Pallipuram
A best-features based digital rotoscope. ACSSC (2017)
Vivek K. Pallipuram, Trilce Estrada, Michela Taufer
A Testing Engine for High-Performance and Cost-Effective Workflow Execution in the Cloud. ICPP (2015)
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)
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) (2015)
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) (2014)
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)
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) (2012)
Mohammad Ashraf Bhuiyan, Melissa C. Smith, Vivek K. Pallipuram
Performance, optimization, and fitness: Connecting applications to architectures. Concurr. Comput. Pract. Exp. 23 (10) (2011)
Mohammad Ashraf Bhuiyan, Vivek K. Pallipuram, Melissa C. Smith
Acceleration of spiking neural networks in emerging multi-core and GPU architectures. IPDPS Workshops (2010)
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)