Matthew Larsen

According to our database1, Matthew Larsen authored at least 34 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A Hybrid in Situ Approach for Cost Efficient Image Database Generation.
IEEE Trans. Vis. Comput. Graph., 2023

A Distributed-Memory Parallel Approach for Volume Rendering with Shadows.
Proceedings of the 13th IEEE Symposium on Large Data Analysis and Visualization, 2023

2022
Conduit: A Successful Strategy for Describing and Sharing Data In Situ.
Proceedings of the IEEE/ACM International Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2022

2021
Minimizing development costs for efficient many-core visualization using MCD<sup>3</sup>.
Parallel Comput., 2021

Evaluating adaptive and predictive power management strategies for optimizing visualization performance on supercomputers.
Parallel Comput., 2021

Automated In Situ Computational Steering Using Ascent's Capable Yes-No Machine.
Proceedings of the ISAV@SC 21: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2021

Trigger Happy: Assessing the Viability of Trigger-Based In Situ Analysis.
Proceedings of the 11th IEEE Symposium on Large Data Analysis and Visualization, 2021

Scalable In Situ Computation of Lagrangian Representations via Local Flow Maps.
Proceedings of the 21st Eurographics Symposium on Parallel Graphics and Visualization, 2021

2020
A terminology for in situ visualization and analysis systems.
Int. J. High Perform. Comput. Appl., 2020

Scalable In Situ Lagrangian Flow Map Extraction: Demonstrating the Viability of a Communication-Free Model.
CoRR, 2020

Opportunities for Cost Savings with In-Transit Visualization.
Proceedings of the High Performance Computing - 35th International Conference, 2020

Benchmarking In Situ Triggers Via Reconstruction Error.
Proceedings of the ISAV@SC 2020: ISAV'20 In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2020

JIT's Complicated: A Comprehensive System For Derived Field Generation.
Proceedings of the ISAV@SC 2020: ISAV'20 In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2020

Cinema Darkroom: A Deferred Rendering Framework for Large-Scale Datasets.
Proceedings of the 10th IEEE Symposium on Large Data Analysis and Visualization, 2020

Comparing Time-to-Solution for In Situ Visualization Paradigms at Scale.
Proceedings of the 10th IEEE Symposium on Large Data Analysis and Visualization, 2020

2019
A Scalable Hybrid Scheme for Ray-Casting of Unstructured Volume Data.
IEEE Trans. Vis. Comput. Graph., 2019

Comparing the Efficiency of In Situ Visualization Paradigms at Scale.
Proceedings of the High Performance Computing - 34th International Conference, 2019

When Parallel Performance Measurement and Analysis Meets In Situ Analytics and Visualization.
Proceedings of the Parallel Computing: Technology Trends, 2019

Power and Performance Tradeoffs for Visualization Algorithms.
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Dynamic I/O Budget Reallocation For In Situ Wavelet Compression.
Proceedings of the 19th Eurographics Symposium on Parallel Graphics and Visualization, 2019

2018
A flexible system for in situ triggers.
Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2018

2017
Projecting Performance Data over Simulation Geometry Using SOSflow and ALPINE.
Proceedings of the Programming and Performance Visualization Tools, 2017

Performance Impacts of In Situ Wavelet Compression on Scientific Simulations.
Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization, 2017

The ALPINE In Situ Infrastructure: Ascending from the Ashes of Strawman.
Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization, 2017

Techniques for data-parallel searching for duplicate elements.
Proceedings of the 7th IEEE Symposium on Large Data Analysis and Visualization, 2017

PaViz: A Power-Adaptive Framework for Optimizing Visualization Performance.
Proceedings of the 17th Eurographics Symposium on Parallel Graphics and Visualization, 2017

2016
VTK-m: Accelerating the Visualization Toolkit for Massively Threaded Architectures.
IEEE Computer Graphics and Applications, 2016

Performance modeling of in situ rendering.
Proceedings of the International Conference for High Performance Computing, 2016

Optimizing multi-image sort-last parallel rendering.
Proceedings of the 6th IEEE Symposium on Large Data Analysis and Visualization, 2016

2015
Visualization for Exascale: Portable Performance is Critical.
Supercomput. Front. Innov., 2015

Strawman: A Batch In Situ Visualization and Analysis Infrastructure for Multi-Physics Simulation Codes.
Proceedings of the First Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2015

Exploring tradeoffs between power and performance for a scientific visualization algorithm.
Proceedings of the 5th IEEE Symposium on Large Data Analysis and Visualization, 2015

Volume Rendering Via Data-Parallel Primitives.
Proceedings of the 15th Eurographics Symposium on Parallel Graphics and Visualization, 2015

Ray tracing within a data parallel framework.
Proceedings of the 2015 IEEE Pacific Visualization Symposium, 2015


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