Organization

Sandia National Laboratories
Presenters / Organizers
Michael A. Heroux
Nic Morales
Eric Phipps
Elaine Raybourn
Michael Schmidt
Matthew Whitlock
James Willenbring
Session Chairs
Michael A. Heroux
Vivek Kale
Nicolas Morales
Elaine M. Raybourn
Michael Schmidt
Presentations
Minisymposium
Code and Community: Challenges and Opportunities
Computer Science, Machine Learning, and Applied Mathematics 

Minisymposium
Discussion Session
Climate, Weather and Earth Sciences
Minisymposium
Exploiting the Overlapping Challenges of Asynchronous Many Task Runtimes and Resilience for Integrated Control-Flow and Data Resiliency
Computer Science, Machine Learning, and Applied Mathematics 

Poster
P03 - A Novel Stochastic Parameterization for Lagrangian Modeling of Atmospheric Aerosol Transport
Minisymposium
Panel Discussion
Applied Social Sciences and Humanities
Panel
PD01 - Better Together: How Can We Enhance Inter-Community Collaboration?
Minisymposium
Scalable GPU-Accelerated Incremental Checkpointing of Sparsely Updated Data
Computer Science, Machine Learning, and Applied Mathematics 

Paper
Streaming Generalized Canonical Polyadic Tensor Decompositions
Engineering
Computer Science, Machine Learning, and Applied Mathematics 

Minisymposium
Supporting Software Sustainability by Using Software Complexity Metrics to Inform Code Reviews
Applied Social Sciences and Humanities
Minisymposium
The Role of Software Platforms in Supporting Scientific Software Communities
Applied Social Sciences and Humanities
Welcome
Welcome from the Conference Co-Chairs
Sessions
Keynote
IK01 - Anti Patterns of Scientific Machine Learning to Fool the Masses: A Call for Open Science
Poster
Flash Poster Session - Part I
Minisymposium
MS1H - Code as Community
Computer Science, Machine Learning, and Applied Mathematics 

Minisymposium
MS2C - Modern Approaches to Modeling Atmospheric Aerosols and Clouds
Climate, Weather and Earth Sciences
Minisymposium
MS2E - Performance in I/O and Fault Tolerance for Scientific Applications
Computer Science, Machine Learning, and Applied Mathematics 

Keynote
Public Lecture
IK02 - A View of Post-Exascale Computational Science and the Emerging Mix of HPC, AI, and Quantum
Minisymposium
MS5H - Code Complete and More: Emerging Efforts to Improve Software Quality (Part 1/2)
Applied Social Sciences and Humanities
Minisymposium
MS6D - Tuning Low-Overhead Node-Level Load Balancing for Computational Science and Engineering Simulations on Current and Emerging Supercomputers
Computer Science, Machine Learning, and Applied Mathematics 

Minisymposium
MS6H - Code Complete and More: Emerging Efforts to Improve Software Quality (Part 2/2)
Applied Social Sciences and Humanities
Panel
PD01 - Panel Discussion
Closing
Closing Session and Awards