Publications and Presentations

Publications

• Bridging Gaps in Simulation Analysis through a General Purpose, Bidirectional Steering Interface with Ascent, Presented at the `ISAV 2024 Workshop https://isav-workshop.github.io/2024/>`_, held in conjunction with SC 24, on November 17h 2024 in Atlanta, GA

• Ascent: A Flyweight In Situ Library for Exascale Simulations In: Childs, H., Bennett, J.C., Garth, C. (eds) In Situ Visualization for Computational Science. Mathematics and Visualization. Springer, Cham. May 2022.

• Automated In Situ Computational Steering Using Ascent’s Capable Yes-No Machine Presented at the ISAV 2021 Workshop, held in conjunction with SC 21, on November 15th 2021, Virtual Event.

• Trigger Happy: Assessing the Viability of Trigger-Based In Situ Analysis Presented at the IEEE Symposium on Large Data and Analysis (LDAV) 2021, held in conjunction with IEEE Vis, on October 25rd 2021 Virtual Event.

• JIT’s Complicated: A Comprehensive System For Derived Field Generation Presented at the ISAV 2020 Workshop, held in conjunction with SC 20, on November 12th 2020, Virtual Event.

• Interactive In Situ Visualization and Analysis using Ascent and Jupyter Presented at the ISAV 2019 Workshop, held in conjunction with SC 19, on November 18h 2019 in Denver, CO.

• A Flexible System For In Situ Triggers Presented at the ISAV 2018 Workshop, held in conjunction with SC 18, on November 12th 2018 in Dallas, TX.

• The ALPINE In Situ Infrastructure: Ascending from the Ashes of Strawman Presented at the ISAV 2017 Workshop, held in conjunction with SC 17, on November 12th 2017 in Denver, CO.

• Performance Impacts of In Situ Wavelet Compression on Scientific Simulations Presented at the ISAV 2017 Workshop, held in conjunction with SC 17, on November 12th 2017 in Denver, CO.

• Projecting Performance Data Over Simulation Geometry Using SOSflow and Alpine Presented at the VPA 17 Workshop, held in conjunction with SC 17, on November 17th 2017 in Denver, CO.

• PaViz: A Power-Adaptive Framework for Optimal Power and Performance of Scientific Visualization Algorithms Presented at the EGPGV 2017 Symposium, held in conjunction with EuroVis 2017, on 12 June, Barcelona, Spain

• Performance Modeling of In Situ Rendering Presented at SC16.

• Optimizing Multi-Image Sort-Last Parallel Rendering Presented at the IEEE Symposium on Large Data and Analysis (LDAV) 2016, held in conjunction with IEEE Vis, on October 23rd 2016 in Baltimore, MD.

• Strawman: A Batch In Situ Visualization and Analysis Infrastructure for Multi-Physics Simulation Codes Presented at the ISAV 2015 Workshop, held in conjunction with SC 15, on November 16th 2015 in Austin, TX.

Tutorials

• In Situ Analysis and Visualization with Ascent @ LLNL 2024 HPC Tutorial Series August 2024, Virtual Event.

• In Situ Analysis and Visualization with Ascent @ ATPESC 2024 August 2024, St Charles, IL.

• In Situ Analysis and Visualization with Ascent and ParaView Catalyst @ SC 23` <https://app.swapcard.com/widget/event/isc-high-performance-2022/planning/UGxhbm5pbmdfODYxMTUx>`_ - November 2023, Denver, CO.

• In Situ Analysis and Visualization with Ascent @ LLNL RADIUSS AWS Tutorial August 2023, Virtual Event.

• In Situ Analysis and Visualization with ParaView Catalyst and Ascent @ ISC 2022 - May 2022, Hamburg, Germany

• ECP 2022 Annual Meeting - May 2022, Virtual

• In Situ Analysis and Visualization with SENSEI and Ascent @ SC21 - Nov 2021, Virtual

• ECP 2021 Annual Meeting - April 2021, Virtual

• In Situ Scientific Analysis and Visualization using ALPINE Ascent @ ECP Training Event - Dec 2020, Virtual

• In Situ Analysis and Visualization with SENSEI and Ascent @ SC20 - Nov 2020, Virtual Event.

• ECP 2020 Annual Meeting - Feb 2020, Houston, TX

• In Situ Visualization and Analysis with Ascent, ECP Annual Meeting, February 2020, Houston, TX.

• In Situ Analysis and Visualization with SENSEI and Ascent, SC19, Nov 17th, 2020, Denver, CO.

• In Situ Visualization and Analysis with Ascent, ECP Annual Meeting, February 2019, Houston, TX.

Note

This list also includes work related to Strawman, Ascent’s predecessor.

Acknowledgements

This research was supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of the U.S. Department of Energy Office of Science and the National Nuclear Security Administration. This work performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344.