Devarshi Ghoshal

29 papers A 4B 2Misc 2Journal 6Unranked 14
YearRankTypeTitle / Venue / Authors
2024 J jnl
ASA - The Adaptive Scheduling Algorithm.
CoRR
Abel Souza, Kristiaan Pelckmans, Devarshi Ghoshal, Lavanya Ramakrishnan, Johan Tordsson
2021 J jnl
Programming Abstractions for Managing Workflows on Tiered Storage Systems.
ACM Trans. Storage
Devarshi Ghoshal, Lavanya Ramakrishnan
2021 J jnl
Science Capsule - Capturing the Data Life Cycle.
J. Open Source Softw.
Devarshi Ghoshal, Ludovico Bianchi, Abdelilah Essiari, Michael W. Beach, Drew Paine, Lavanya Ramakrishnan
2021 — conf
Science Capsule: Towards Sharing and Reproducibility of Scientific Workflows.
WORKS
Devarshi Ghoshal, Ludovico Bianchi, Abdelilah Essiari, Drew Paine, Sarah S. Poon, Michael W. Beach, Alpha T. N'Diaye, Patrick Huck, Lavanya Ramakrishnan
2020 A conf
ASA - The Adaptive Scheduling Architecture.
HPDC
Abel Souza, Kristiaan Pelckmans, Devarshi Ghoshal, Lavanya Ramakrishnan, Johan Tordsson
2020 — conf
Characterizing Scientific Workflows on HPC Systems using Logs.
WORKS@SC
Devarshi Ghoshal, Brian Austin, Deborah Bard, Christopher S. Daley, Glenn K. Lockwood, Nicholas J. Wright, Lavanya Ramakrishnan
2020 J jnl
Performance characterization of scientific workflows for the optimal use of Burst Buffers.
Future Gener. Comput. Syst.
Christopher S. Daley, Devarshi Ghoshal, Glenn K. Lockwood, Sudip S. Dosanjh, Lavanya Ramakrishnan, Nicholas J. Wright
2020 — conf
Towards Interactive, Reproducible Analytics at Scale on HPC Systems.
UrgentHPC@SC
Shreyas Cholia, Lindsey J. Heagy, Matthew L. Henderson, Drew Paine, Jon Hays, Ludovico Bianchi, Devarshi Ghoshal, Fernando Pérez, Lavanya Ramakrishnan
2019 — conf
Analysis and Prediction of Data Transfer Throughput for Data-Intensive Workloads.
IEEE BigData
Devarshi Ghoshal, Kesheng Wu, Eric Pouyoul, Erich Strohmaier
2019 A conf
Data Jockey: Automatic Data Management for HPC Multi-tiered Storage Systems.
IPDPS
Woong Shin, Christopher Brumgard, Bing Xie, Sudharshan S. Vazhkudai, Devarshi Ghoshal, Sarp Oral, Lavanya Ramakrishnan
2019 — conf
Understanding Data Similarity in Large-Scale Scientific Datasets.
IEEE BigData
Payton Linton, William Melodia, Alina Lazar, Deborah A. Agarwal, Ludovico Bianchi, Devarshi Ghoshal, Gilberto Zonta Pastorello, Lavanya Ramakrishnan, Kesheng Wu
2018 — conf
Bringing Data Science to Qualitative Analysis.
eScience
You-Wei Cheah, Drew Paine, Devarshi Ghoshal, Lavanya Ramakrishnan
2018 A conf
Dac-Man: data change management for scientific datasets on HPC systems.
SC
Devarshi Ghoshal, Lavanya Ramakrishnan, Deborah A. Agarwal
2018 J jnl
MaDaTS: Managing Data on Tiered Storage for Scientific Workflows.
J. Open Source Softw.
Devarshi Ghoshal, Lavanya Ramakrishnan
2017 — conf
E-HPC: a library for elastic resource management in HPC environments.
WORKS@SC
William Fox, Devarshi Ghoshal, Abel Souza, Gonzalo P. Rodrigo, Lavanya Ramakrishnan
2017 J jnl
FRIEDA: Flexible Robust Intelligent Elastic Data Management Framework.
J. Open Source Softw.
Devarshi Ghoshal, Valerie C. Hendrix, William Fox, Sowmya Balasubhramanian, Lavanya Ramakrishnan
2017 A conf
MaDaTS: Managing Data on Tiered Storage for Scientific Workflows.
HPDC
Devarshi Ghoshal, Lavanya Ramakrishnan
2017 — conf
Usability Heuristic Evaluation of Scientific Data Analysis and Visualization Tools.
AHFE (23)
Samar Swaid, Mnsa Maat, Hari Krishnan, Devarshi Ghoshal, Lavanya Ramakrishnan
2016 — conf
Performance Characterization of Scientific Workflows for the Optimal Use of Burst Buffers.
WORKS@SC
Christopher S. Daley, Devarshi Ghoshal, Glenn K. Lockwood, Sudip S. Dosanjh, Lavanya Ramakrishnan, Nicholas J. Wright
2016 B conf
Tigres Workflow Library: Supporting Scientific Pipelines on HPC Systems.
CCGrid
Valerie C. Hendrix, James Fox, Devarshi Ghoshal, Lavanya Ramakrishnan
2014 B conf
Provisioning, Placement and Pipelining Strategies for Data-Intensive Applications in Cloud Environments.
IC2E
Devarshi Ghoshal, Lavanya Ramakrishnan
2014 — conf
Regenerating and Quantifying Quality of Benchmarking Data Using Static and Dynamic Provenance.
IPAW
Devarshi Ghoshal, Arun Chauhan, Beth Plale
2014 — ch.
Storage and Data Life Cycle Management in Cloud Environments with FRIEDA.
Cloud Computing for Data-Intensive Applications
Lavanya Ramakrishnan, Devarshi Ghoshal, Valerie C. Hendrix, Eugen Feller, Pradeep Mantha, Christine Morin
2014 — conf
Study in Usefulness of Middleware-Only Provenance.
eScience
Quan Zhou, Devarshi Ghoshal, Beth Plale
2013 — conf
Provenance from log files: a BigData problem.
EDBT/ICDT Workshops
Devarshi Ghoshal, Beth Plale
2013 — conf
Static compiler analysis for workflow provenance.
WORKS@SC
Devarshi Ghoshal, Arun Chauhan, Beth Plale
2012 — conf
FRIEDA: Flexible Robust Intelligent Elastic Data Management in Cloud Environments.
SC Companion
Devarshi Ghoshal, Lavanya Ramakrishnan
2012 Misc conf
Visualization of network data provenance.
HiPC
Peng Chen, Beth Plale, You-Wei Cheah, Devarshi Ghoshal, Scott Jensen, Yuan Luo
2011 Misc conf
Distributed Speculative Parallelization using Checkpoint Restart.
ICCS
Devarshi Ghoshal, Sreesudhan R. Ramkumar, Arun Chauhan