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Authors: Cong Xie 1 ; Wei Xu 2 ; Sungsoo Ha 2 ; Kevin Huck 3 ; Sameer Shende 3 ; Hubertus Van Dam 2 ; Kerstin Kleese Van Dam 2 and Klaus Mueller 1

Affiliations: 1 Stony Brook University, United States ; 2 Computational Science Initiative, United States ; 3 University of Oregon, United States

ISBN: 978-989-758-289-9

Keyword(s): Performance, Visualization, TAU, Scientific Workflow.

Related Ontology Subjects/Areas/Topics: Abstract Data Visualization ; Computer Vision, Visualization and Computer Graphics ; General Data Visualization ; Visual Data Analysis and Knowledge Discovery ; Visualization Applications ; Visualization Tools and Systems for Simulation and Modeling

Abstract: In exascale scientific computing, it is essential to efficiently monitor, evaluate and improve performance. Visualization and especially visual analytics are useful and inevitable techniques in the exascale computing era to enable such a human-centered experience. In this ongoing work, we present a visual analytics framework for performance evaluation of scientific workflows. Ultimately, we aim to solve two current challenges: the capability to deal with workflows, and the scalability toward exascale scenario. On the way to achieve these goals, in this work, we first incorporate TAU (Tuning and Analysis Utilities) instrumentation tool and improve it to accommodate workflow measurements. Then we establish a web-based visualization framework, whose back end handles data storage, query and aggregation, while front end presents the visualization and takes user interaction. In order to support the scalability, a few level-of-detail mechanisms are developed. Finally, a chemistry workflow us e case is adopted to verify our methods. (More)

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Paper citation in several formats:
Xie, C.; Xu, W.; Ha, S.; Huck, K.; Shende, S.; Van Dam, H.; Van Dam, K. and Mueller, K. (2018). Performance Visualization for TAU Instrumented Scientific Workflows.In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2 HUCAPP: IVAPP, ISBN 978-989-758-289-9, pages 333-340. DOI: 10.5220/0006646803330340

@conference{ivapp18,
author={Cong Xie. and Wei Xu. and Sungsoo Ha. and Kevin Huck. and Sameer Shende. and Hubertus Van Dam. and Kerstin Kleese Van Dam. and Klaus Mueller.},
title={Performance Visualization for TAU Instrumented Scientific Workflows},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2 HUCAPP: IVAPP,},
year={2018},
pages={333-340},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006646803330340},
isbn={978-989-758-289-9},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2 HUCAPP: IVAPP,
TI - Performance Visualization for TAU Instrumented Scientific Workflows
SN - 978-989-758-289-9
AU - Xie, C.
AU - Xu, W.
AU - Ha, S.
AU - Huck, K.
AU - Shende, S.
AU - Van Dam, H.
AU - Van Dam, K.
AU - Mueller, K.
PY - 2018
SP - 333
EP - 340
DO - 10.5220/0006646803330340

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