Vivek K. Pallipuram

According to our database, Vivek K. Pallipuram authored at least 17 papers between 2010 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

True-Ed Select Enters Social Computing: A Machine Learning Based University Selection Framework.

Jerry Cearley, Vivek K. Pallipuram

Proceedings of the Future Technologies Conference, 2022

2020

A2Cloud-RF: A random forest based statistical framework to guide resource selection for high-performance scientific computing on the cloud.

David Samuel, Syeduzzaman Khan, Cody J. Balos, Zachariah Abuelhaj, Anthony D. Dutoi, Chadi Kari, David Mueller, Vivek K. Pallipuram

Concurr. Comput. Pract. Exp., 2020

A2Cloud-cc: A Machine Learning Council to Guide Cloud Resource Selection for Scientific Applications.

Lisa Her, Syeduzzaman Khan, David Samuel, Xusheng Ai, Sixia Chen, Vivek K. Pallipuram

Proceedings of the 19th IEEE International Symposium on Network Computing and Applications, 2020

2019

Data Migration in Large Scale Heterogeneous Storage Systems with Nodes to Spare.

Chadi Kari, Sixia Chen, Sepehr Amir-Mohammadian, Vivek K. Pallipuram

Proceedings of the International Conference on Computing, Networking and Communications, 2019

2018

A2Cloud: An Analytical Model for Application-to-Cloud Matching to Empower Scientific Computing.

Cody J. Balos, David de la Vega, Zachariah Abuelhaj, Chadi Kari, David Mueller, Vivek K. Pallipuram

Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

The Realm of Graphical Processing Unit (GPU) Computing.

Vivek K. Pallipuram, Jinzhu Gao

Proceedings of the Topics in Parallel and Distributed Computing, 2018

2017

Data migration algorithms in heterogeneous storage systems: A comparative performance evaluation.

Gary Roberts, Sixia Chen, Chadi Kari, Vivek K. Pallipuram

Proceedings of the 16th IEEE International Symposium on Network Computing and Applications, 2017

A best-features based digital rotoscope.

Iain Murphy, Tyler Norlund, Vivek K. Pallipuram

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2015

Subjective versus objective: classifying analytical models for productive heterogeneous performance prediction.

Vivek K. Pallipuram, Melissa C. Smith, Nilim Sarma, Ranajeet Anand, Edwin Weill, Karan Sapra

J. Supercomput., 2015

A Testing Engine for High-Performance and Cost-Effective Workflow Execution in the Cloud.

Vivek K. Pallipuram, Trilce Estrada, Michela Taufer

Proceedings of the 44th International Conference on Parallel Processing, 2015

From HPC Performance to Climate Modeling: Transforming Methods for HPC Predictions into Models of Extreme Climate Conditions.

Ryan McKinney, Vivek K. Pallipuram, Rodrigo Vargas, Michela Taufer

Proceedings of the 11th IEEE International Conference on e-Science, 2015

2014

A regression-based performance prediction framework for synchronous iterative algorithms on general purpose graphical processing unit clusters.

Vivek K. Pallipuram, Melissa C. Smith, Nimisha Raut, Xiaoyu Ren

Concurr. Comput. Pract. Exp., 2014

Applying frequency analysis techniques to dag-based workflows to benchmark and predict resource behavior on non-dedicated clusters.

Vivek K. Pallipuram, Jeffrey DiMarco, Michela Taufer

Proceedings of the 2014 IEEE International Conference on Cluster Computing, 2014

2012

A comparative study of GPU programming models and architectures using neural networks.

Vivek K. Pallipuram, Mohammad Ashraf Bhuiyan, Melissa C. Smith

J. Supercomput., 2012

2011

Performance, optimization, and fitness: Connecting applications to architectures.

Mohammad Ashraf Bhuiyan, Melissa C. Smith, Vivek K. Pallipuram

Concurr. Comput. Pract. Exp., 2011

2010

Optimization and performance study of large-scale biological networks for reconfigurable computing.

Mohammad Ashraf Bhuiyan, Ananth Nallamuthu, Melissa C. Smith, Vivek K. Pallipuram

Proceedings of the 2010 Fourth International Workshop on High-Performance Reconfigurable Computing Technology and Applications, 2010

Acceleration of spiking neural networks in emerging multi-core and GPU architectures.

Mohammad Ashraf Bhuiyan, Vivek K. Pallipuram, Melissa C. Smith

Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010