Vivek K. Pallipuram

18 papers B 4C 2Misc 2Journal 5Unranked 4
YearRankTypeTitle / Venue / Authors
2025 C conf
Neural Oceans: Physics-Informed Deep Learning for Underwater Marine Debris Forecasting.
ICMLA
Abdullah Tariq Choudhry, Vivek K. Pallipuram
2022 — conf
True-Ed Select Enters Social Computing: A Machine Learning Based University Selection Framework.
FTC (3)
Jerry Cearley, Vivek K. Pallipuram
2020 J jnl
A2Cloud-RF: A random forest based statistical framework to guide resource selection for high-performance scientific computing on the cloud.
Concurr. Comput. Pract. Exp.
David Samuel, Syeduzzaman Khan, Cody J. Balos, Zachariah Abuelhaj, Anthony D. Dutoi, Chadi Kari, David Mueller, Vivek K. Pallipuram
2020 B conf
A2Cloud-cc: A Machine Learning Council to Guide Cloud Resource Selection for Scientific Applications.
NCA
Lisa Her, Syeduzzaman Khan, David Samuel, Xusheng Ai, Sixia Chen, Vivek K. Pallipuram
2019 Misc conf
Data Migration in Large Scale Heterogeneous Storage Systems with Nodes to Spare.
ICNC
Chadi Kari, Sixia Chen, Sepehr Amir-Mohammadian, Vivek K. Pallipuram
2018 — conf
A2Cloud: An Analytical Model for Application-to-Cloud Matching to Empower Scientific Computing.
IEEE CLOUD
Cody J. Balos, David de la Vega, Zachariah Abuelhaj, Chadi Kari, David Mueller, Vivek K. Pallipuram
2018 — ch.
The Realm of Graphical Processing Unit (GPU) Computing.
Topics in Parallel and Distributed Computing
Vivek K. Pallipuram, Jinzhu Gao
2017 Misc conf
A best-features based digital rotoscope.
ACSSC
Iain Murphy, Tyler Norlund, Vivek K. Pallipuram
2017 B conf
Data migration algorithms in heterogeneous storage systems: A comparative performance evaluation.
NCA
Gary Roberts, Sixia Chen, Chadi Kari, Vivek K. Pallipuram
2015 B conf
A Testing Engine for High-Performance and Cost-Effective Workflow Execution in the Cloud.
ICPP
Vivek K. Pallipuram, Trilce Estrada, Michela Taufer
2015 B conf
From HPC Performance to Climate Modeling: Transforming Methods for HPC Predictions into Models of Extreme Climate Conditions.
e-Science
Ryan McKinney, Vivek K. Pallipuram, Rodrigo Vargas, Michela Taufer
2015 J jnl
Subjective versus objective: classifying analytical models for productive heterogeneous performance prediction.
J. Supercomput.
Vivek K. Pallipuram, Melissa C. Smith, Nilim Sarma, Ranajeet Anand, Edwin Weill, Karan Sapra
2014 J jnl
A regression-based performance prediction framework for synchronous iterative algorithms on general purpose graphical processing unit clusters.
Concurr. Comput. Pract. Exp.
Vivek K. Pallipuram, Melissa C. Smith, Nimisha Raut, Xiaoyu Ren
2014 C conf
Applying frequency analysis techniques to dag-based workflows to benchmark and predict resource behavior on non-dedicated clusters.
CLUSTER
Vivek K. Pallipuram, Jeffrey DiMarco, Michela Taufer
2012 J jnl
A comparative study of GPU programming models and architectures using neural networks.
J. Supercomput.
Vivek K. Pallipuram, Mohammad Ashraf Bhuiyan, Melissa C. Smith
2011 J jnl
Performance, optimization, and fitness: Connecting applications to architectures.
Concurr. Comput. Pract. Exp.
Mohammad Ashraf Bhuiyan, Melissa C. Smith, Vivek K. Pallipuram
2010 — conf
Acceleration of spiking neural networks in emerging multi-core and GPU architectures.
IPDPS Workshops
Mohammad Ashraf Bhuiyan, Vivek K. Pallipuram, Melissa C. Smith
2010 — conf
Optimization and performance study of large-scale biological networks for reconfigurable computing.
HPRCTA@SC
Mohammad Ashraf Bhuiyan, Ananth Nallamuthu, Melissa C. Smith, Vivek K. Pallipuram