Name: Mark Miller
Pronouns: he/his/him
Biography:
Mark C. Miller has participated in the development of a number of scientific database and data modeling technologies forming the data backbone of visualization and analysis workflow tooling including Silo, ASCI-DMF, HDF5, ITAPS and more recently Conduit+Blueprint for LLNL’s next generation Mesh Toolkit. Mark has been the lead developer of Silo since the late 90’s supporting scalable I/O requirements of LLNL HPC simulation codes including ALE3D, Kull, Ares, LASNEX, Overlink and the VisIt visualization tool. Mark’s expertise includes data analysis methods and data models as well as their impact on visualization and analysis software, interoperability, high performance I/O, and Software Quality Engineering in HPC/CSE applications and libraries. Mark also has a passion for sharing his expertise with HPC/CSE newcombers especially those the tech community has historically failed to engage.
Institution/Lab: Lawrence Livermore National Laboratory
Website: https://visit.llnl.gov
SRP Collaboration Topic/Title: Visualization and Data Analysis
Field or research area: Visualization and Data Analysis
Please select all the topical areas that apply to your project:
Computational Science Applications (i.e., bioscience, cosmology, chemistry, environmental science, nanotechnology, climate, etc.); Computer Science (i.e., architectures, compilers/languages, networks, workflow/edge, experiment automation, containers, neuromorphic computing, programming models, operating systems, sustainable software); Data Science (i.e., data analytics, data management & storage systems, visualization); High-Performance Computing
Brief Abstract:
We have various projects related to scientific visualization and data analysis. We also have projects aimed at investigating and tuning performance of visualization and analysis workflows. We can work together to help refine specific goals for a summer internship.
Desired relevant skills, background, or interests:
An interest in working on high performance computing projects involving visualizing and analyzing data. Some experience with writing and debugging software (Java,C,C++,Fortran,Python,Basic,etc.) would be useful.
Other comments:
In-person, remote and hybrid possible. In-person preferred but non-essential.
Do any special requirements apply? other
Other, specify: None
Keywords:
Data analysis, visualization, computer science, machine learning, devops
Lightning Talk Title: Scientific Software Sustainability Engineering