2019 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS)
Latest Publications

TOTAL DOCUMENTS

(FIVE YEARS 0)

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(FIVE YEARS 0)

Published By IEEE

9781728159973

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A Codesign Framework for Online Data Analysis and Reduction

2019 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS) ◽

10.1109/works49585.2019.00007 ◽

2019 ◽

Cited By ~ 1

Author(s):

Kshitij Mehta ◽

Ian Foster ◽

Scott Klasky ◽

Bryce Allen ◽

Matthew Wolf ◽

...

Keyword(s):

Data Analysis ◽

Online Data

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On a Parallel Spark Workflow for Frequent Itemset Mining Based on Array Prefix-Tree

2019 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS) ◽

10.1109/works49585.2019.00011 ◽

2019 ◽

Author(s):

Xinzheng Niu ◽

Mideng Qian ◽

Chase Wu ◽

Aiqin Hou

Keyword(s):

Frequent Itemset ◽

Frequent Itemset Mining ◽

Prefix Tree ◽

Itemset Mining

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A Top-Down Performance Analysis Methodology for Workflows: Tracking Performance Issues from Overview to Individual Operations

2019 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS) ◽

10.1109/works49585.2019.00008 ◽

2019 ◽

Author(s):

Ronny Tschueter ◽

Christian Herold ◽

William Williams ◽

Maximilian Knespel ◽

Matthias Weber

Keyword(s):

Performance Analysis ◽

Tracking Performance ◽

Top Down ◽

Analysis Methodology ◽

Performance Issues

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Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering

2019 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS) ◽

10.1109/works49585.2019.00006 ◽

2019 ◽

Cited By ~ 1

Author(s):

Renan Souza ◽

Leonardo Azevedo ◽

Vitor Lourenco ◽

Elton Soares ◽

Raphael Thiago ◽

...

Keyword(s):

Machine Learning ◽

Computational Science ◽

Science And Engineering ◽

Provenance Data ◽

Computational Science And Engineering

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A Performance Comparison of Dask and Apache Spark for Data-Intensive Neuroimaging Pipelines

2019 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS) ◽

10.1109/works49585.2019.00010 ◽

2019 ◽

Cited By ~ 1

Author(s):

Mathieu Dugre ◽

Valerie Hayot-Sasson ◽

Tristan Glatard

Keyword(s):

Performance Comparison ◽

Apache Spark ◽

Data Intensive ◽

A Performance

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Comparing GPU Power and Frequency Capping: A Case Study with the MuMMI Workflow

2019 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS) ◽

10.1109/works49585.2019.00009 ◽

2019 ◽

Author(s):

Tapasya Patki ◽

Zachary Frye ◽

Harsh Bhatia ◽

Francesco Di Natale ◽

James Glosli ◽

...

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2019 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS)Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By IEEE

A Codesign Framework for Online Data Analysis and Reduction

On a Parallel Spark Workflow for Frequent Itemset Mining Based on Array Prefix-Tree

A Top-Down Performance Analysis Methodology for Workflows: Tracking Performance Issues from Overview to Individual Operations

Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering

A Performance Comparison of Dask and Apache Spark for Data-Intensive Neuroimaging Pipelines

Comparing GPU Power and Frequency Capping: A Case Study with the MuMMI Workflow

2019 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS)
Latest Publications