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Devarshi Ghoshal
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2020 – today
- 2024
- [i1]Abel Souza, Kristiaan Pelckmans, Devarshi Ghoshal, Lavanya Ramakrishnan, Johan Tordsson:
ASA - The Adaptive Scheduling Algorithm. CoRR abs/2401.09733 (2024) - 2021
- [j5]Devarshi Ghoshal
, Ludovico Bianchi
, Abdelilah Essiari, Michael W. Beach, Drew Paine
, Lavanya Ramakrishnan
:
Science Capsule - Capturing the Data Life Cycle. J. Open Source Softw. 6(62): 2484 (2021) - [j4]Devarshi Ghoshal, Lavanya Ramakrishnan:
Programming Abstractions for Managing Workflows on Tiered Storage Systems. ACM Trans. Storage 17(4): 29:1-29:21 (2021) - [c22]Devarshi Ghoshal, Ludovico Bianchi, Abdelilah Essiari, Drew Paine
, Sarah S. Poon, Michael W. Beach, Alpha T. N'Diaye, Patrick Huck, Lavanya Ramakrishnan:
Science Capsule: Towards Sharing and Reproducibility of Scientific Workflows. WORKS 2021: 66-73 - 2020
- [j3]Christopher S. Daley
, Devarshi Ghoshal, Glenn K. Lockwood
, Sudip S. Dosanjh, Lavanya Ramakrishnan, Nicholas J. Wright
:
Performance characterization of scientific workflows for the optimal use of Burst Buffers. Future Gener. Comput. Syst. 110: 468-480 (2020) - [c21]Abel Souza
, Kristiaan Pelckmans, Devarshi Ghoshal, Lavanya Ramakrishnan, Johan Tordsson:
ASA - The Adaptive Scheduling Architecture. HPDC 2020: 161-165 - [c20]Shreyas Cholia
, Lindsey J. Heagy, Matthew L. Henderson, Drew Paine
, Jon Hays, Ludovico Bianchi
, Devarshi Ghoshal, Fernando Pérez
, Lavanya Ramakrishnan:
Towards Interactive, Reproducible Analytics at Scale on HPC Systems. UrgentHPC@SC 2020: 47-54 - [c19]Devarshi Ghoshal, Brian Austin, Deborah Bard, Christopher S. Daley
, Glenn K. Lockwood
, Nicholas J. Wright
, Lavanya Ramakrishnan:
Characterizing Scientific Workflows on HPC Systems using Logs. WORKS@SC 2020: 57-64
2010 – 2019
- 2019
- [c18]Devarshi Ghoshal, Kesheng Wu
, Eric Pouyoul, Erich Strohmaier:
Analysis and Prediction of Data Transfer Throughput for Data-Intensive Workloads. IEEE BigData 2019: 3648-3657 - [c17]Payton Linton, William Melodia, Alina Lazar, Deborah A. Agarwal
, Ludovico Bianchi
, Devarshi Ghoshal, Gilberto Zonta Pastorello, Lavanya Ramakrishnan, Kesheng Wu
:
Understanding Data Similarity in Large-Scale Scientific Datasets. IEEE BigData 2019: 4525-4531 - [c16]Woong Shin, Christopher Brumgard, Bing Xie
, Sudharshan S. Vazhkudai, Devarshi Ghoshal, Sarp Oral, Lavanya Ramakrishnan:
Data Jockey: Automatic Data Management for HPC Multi-tiered Storage Systems. IPDPS 2019: 511-522 - 2018
- [j2]Devarshi Ghoshal
, Lavanya Ramakrishnan
:
MaDaTS: Managing Data on Tiered Storage for Scientific Workflows. J. Open Source Softw. 3(30): 830 (2018) - [c15]You-Wei Cheah, Drew Paine
, Devarshi Ghoshal, Lavanya Ramakrishnan:
Bringing Data Science to Qualitative Analysis. eScience 2018: 325-326 - [c14]Devarshi Ghoshal, Lavanya Ramakrishnan, Deborah A. Agarwal:
Dac-Man: data change management for scientific datasets on HPC systems. SC 2018: 72:1-72:13 - 2017
- [j1]Devarshi Ghoshal
, Valerie C. Hendrix
, William Fox, Sowmya Balasubhramanian
, Lavanya Ramakrishnan
:
FRIEDA: Flexible Robust Intelligent Elastic Data Management Framework. J. Open Source Softw. 2(10): 164 (2017) - [c13]Samar Swaid, Mnsa Maat, Hari Krishnan, Devarshi Ghoshal, Lavanya Ramakrishnan:
Usability Heuristic Evaluation of Scientific Data Analysis and Visualization Tools. AHFE (23) 2017: 471-482 - [c12]Devarshi Ghoshal, Lavanya Ramakrishnan:
MaDaTS: Managing Data on Tiered Storage for Scientific Workflows. HPDC 2017: 41-52 - [c11]William Fox, Devarshi Ghoshal, Abel Souza
, Gonzalo P. Rodrigo, Lavanya Ramakrishnan:
E-HPC: a library for elastic resource management in HPC environments. WORKS@SC 2017: 1:1-1:11 - 2016
- [c10]Valerie C. Hendrix, James Fox, Devarshi Ghoshal, Lavanya Ramakrishnan:
Tigres Workflow Library: Supporting Scientific Pipelines on HPC Systems. CCGrid 2016: 146-155 - [c9]Christopher S. Daley, Devarshi Ghoshal, Glenn K. Lockwood, Sudip S. Dosanjh, Lavanya Ramakrishnan, Nicholas J. Wright:
Performance Characterization of Scientific Workflows for the Optimal Use of Burst Buffers. WORKS@SC 2016: 69-73 - 2014
- [c8]Quan Zhou, Devarshi Ghoshal, Beth Plale
:
Study in Usefulness of Middleware-Only Provenance. eScience 2014: 215-222 - [c7]Devarshi Ghoshal, Lavanya Ramakrishnan:
Provisioning, Placement and Pipelining Strategies for Data-Intensive Applications in Cloud Environments. IC2E 2014: 325-330 - [c6]Devarshi Ghoshal, Arun Chauhan, Beth Plale
:
Regenerating and Quantifying Quality of Benchmarking Data Using Static and Dynamic Provenance. IPAW 2014: 56-67 - [p1]Lavanya Ramakrishnan, Devarshi Ghoshal, Valerie C. Hendrix, Eugen Feller, Pradeep Mantha, Christine Morin:
Storage and Data Life Cycle Management in Cloud Environments with FRIEDA. Cloud Computing for Data-Intensive Applications 2014: 357-378 - 2013
- [c5]Devarshi Ghoshal, Beth Plale
:
Provenance from log files: a BigData problem. EDBT/ICDT Workshops 2013: 290-297 - [c4]Devarshi Ghoshal, Arun Chauhan, Beth Plale
:
Static compiler analysis for workflow provenance. WORKS@SC 2013: 17-27 - 2012
- [c3]Peng Chen, Beth Plale
, You-Wei Cheah, Devarshi Ghoshal, Scott Jensen, Yuan Luo:
Visualization of network data provenance. HiPC 2012: 1-9 - [c2]Devarshi Ghoshal, Lavanya Ramakrishnan:
FRIEDA: Flexible Robust Intelligent Elastic Data Management in Cloud Environments. SC Companion 2012: 1096-1105 - 2011
- [c1]Devarshi Ghoshal, Sreesudhan R. Ramkumar, Arun Chauhan:
Distributed Speculative Parallelization using Checkpoint Restart. ICCS 2011: 422-431
Coauthor Index
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