Devarshi Ghoshal

According to our database, Devarshi Ghoshal authored at least 27 papers between 2011 and 2024.

Collaborative distances:

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

2024

ASA - The Adaptive Scheduling Algorithm.

Abel Souza, Kristiaan Pelckmans, Devarshi Ghoshal, Lavanya Ramakrishnan, Johan Tordsson

CoRR, 2024

2021

Programming Abstractions for Managing Workflows on Tiered Storage Systems.

Devarshi Ghoshal, Lavanya Ramakrishnan

ACM Trans. Storage, 2021

Science Capsule - Capturing the Data Life Cycle.

Devarshi Ghoshal, Ludovico Bianchi, Abdelilah Essiari, Michael W. Beach, Drew Paine, Lavanya Ramakrishnan

J. Open Source Softw., 2021

Science Capsule: Towards Sharing and Reproducibility of Scientific Workflows.

Devarshi Ghoshal, Ludovico Bianchi, Abdelilah Essiari, Drew Paine, Sarah S. Poon, Michael W. Beach, Alpha T. N'Diaye, Patrick Huck, Lavanya Ramakrishnan

Proceedings of the 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 2021

2020

Performance characterization of scientific workflows for the optimal use of Burst Buffers.

Christopher S. Daley, Devarshi Ghoshal, Glenn K. Lockwood, Sudip S. Dosanjh, Lavanya Ramakrishnan, Nicholas J. Wright

Future Gener. Comput. Syst., 2020

Characterizing Scientific Workflows on HPC Systems using Logs.

Devarshi Ghoshal, Brian Austin, Deborah Bard, Christopher S. Daley, Glenn K. Lockwood, Nicholas J. Wright, Lavanya Ramakrishnan

Proceedings of the IEEE/ACM Workflows in Support of Large-Scale Science, 2020

Towards Interactive, Reproducible Analytics at Scale on HPC Systems.

Shreyas Cholia, Lindsey J. Heagy, Matthew L. Henderson, Drew Paine, Jon Hays, Ludovico Bianchi, Devarshi Ghoshal, Fernando Pérez, Lavanya Ramakrishnan

Proceedings of the IEEE/ACM HPC for Urgent Decision Making, UrgentHPC@SC 2020, Atlanta, GA, 2020

ASA - The Adaptive Scheduling Architecture.

Abel Souza, Kristiaan Pelckmans, Devarshi Ghoshal, Lavanya Ramakrishnan, Johan Tordsson

Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020

2019

Data Jockey: Automatic Data Management for HPC Multi-tiered Storage Systems.

Woong Shin, Christopher Brumgard, Bing Xie, Sudharshan S. Vazhkudai, Devarshi Ghoshal, Sarp Oral, Lavanya Ramakrishnan

Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Understanding Data Similarity in Large-Scale Scientific Datasets.

Payton Linton, William Melodia, Alina Lazar, Deborah A. Agarwal, Ludovico Bianchi, Devarshi Ghoshal, Gilberto Zonta Pastorello, Lavanya Ramakrishnan, Kesheng Wu

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Analysis and Prediction of Data Transfer Throughput for Data-Intensive Workloads.

Devarshi Ghoshal, Kesheng Wu, Eric Pouyoul, Erich Strohmaier

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

MaDaTS: Managing Data on Tiered Storage for Scientific Workflows.

Devarshi Ghoshal, Lavanya Ramakrishnan

J. Open Source Softw., 2018

Dac-Man: data change management for scientific datasets on HPC systems.

Devarshi Ghoshal, Lavanya Ramakrishnan, Deborah A. Agarwal

Proceedings of the International Conference for High Performance Computing, 2018

Bringing Data Science to Qualitative Analysis.

You-Wei Cheah, Drew Paine, Devarshi Ghoshal, Lavanya Ramakrishnan

Proceedings of the 14th IEEE International Conference on e-Science, 2018

2017

FRIEDA: Flexible Robust Intelligent Elastic Data Management Framework.

Devarshi Ghoshal, Valerie C. Hendrix, William Fox, Sowmya Balasubhramanian, Lavanya Ramakrishnan

J. Open Source Softw., 2017

E-HPC: a library for elastic resource management in HPC environments.

William Fox, Devarshi Ghoshal, Abel Souza, Gonzalo P. Rodrigo, Lavanya Ramakrishnan

Proceedings of the 12th Workshop on Workflows in Support of Large-Scale Science, 2017

Usability Heuristic Evaluation of Scientific Data Analysis and Visualization Tools.

Samar Swaid, Mnsa Maat, Hari Krishnan, Devarshi Ghoshal, Lavanya Ramakrishnan

Proceedings of the Advances in Usability and User Experience, 2017

2016

Tigres Workflow Library: Supporting Scientific Pipelines on HPC Systems.

Valerie C. Hendrix, James Fox, Devarshi Ghoshal, Lavanya Ramakrishnan

Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

2014

Regenerating and Quantifying Quality of Benchmarking Data Using Static and Dynamic Provenance.

Devarshi Ghoshal, Arun Chauhan, Beth Plale

Proceedings of the Provenance and Annotation of Data and Processes, 2014

Provisioning, Placement and Pipelining Strategies for Data-Intensive Applications in Cloud Environments.

Devarshi Ghoshal, Lavanya Ramakrishnan

Proceedings of the 2014 IEEE International Conference on Cloud Engineering, 2014

Study in Usefulness of Middleware-Only Provenance.

Quan Zhou, Devarshi Ghoshal, Beth Plale

Proceedings of the 10th IEEE International Conference on e-Science, 2014

Storage and Data Life Cycle Management in Cloud Environments with FRIEDA.

Lavanya Ramakrishnan, Devarshi Ghoshal, Valerie C. Hendrix, Eugen Feller, Pradeep Mantha, Christine Morin

Proceedings of the Cloud Computing for Data-Intensive Applications, 2014

2013

Static compiler analysis for workflow provenance.

Devarshi Ghoshal, Arun Chauhan, Beth Plale

Proceedings of WORKS 2013: 8th Workshop On Workflows in Support of Large-Scale Science, 2013

Provenance from log files: a BigData problem.

Devarshi Ghoshal, Beth Plale

Proceedings of the Joint 2013 EDBT/ICDT Conferences, 2013

2012

FRIEDA: Flexible Robust Intelligent Elastic Data Management in Cloud Environments.

Devarshi Ghoshal, Lavanya Ramakrishnan

Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Visualization of network data provenance.

Peng Chen, Beth Plale, You-Wei Cheah, Devarshi Ghoshal, Scott Jensen, Yuan Luo

Proceedings of the 19th International Conference on High Performance Computing, 2012

2011

Distributed Speculative Parallelization using Checkpoint Restart.

Devarshi Ghoshal, Sreesudhan R. Ramkumar, Arun Chauhan

Proceedings of the International Conference on Computational Science, 2011