ChordDyn
ChordDyn is a software library and collection of scripts written in Python 3 and Julia to generate novel chord progressions using chaotic trajectories overlaid onto a Tonnetz. To …
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☕️About Me
Zachary R. Atkins, who goes by Zach, is a computer science PhD student at the University of Colorado Boulder specializing in high-performance computing, computational solid mechanics, and matrix-free linear algebra for finite element methods.
Interests
- Computational Solid Mechanics
- Contact Mechanics
- Finite Element Methods
- Material Point Methods
- Matrix-Free Methods
Education
PhD Computer Science
University of Colorado Boulder
BSc Mathematics, Highest Distinction & Honors
University of Kansas
BSc Computer Science, Highest Distinction
University of Kansas
📚 My Research
I’m a graduate research assistant focusing on performance, scalability, efficiency, and accuracy for simulations of complex physical systems. I contribute to open-source and publicly funded software packages for numerical linear algebra, partial differential equations, and computational mechanics.
My particular interests include finite-element-based implicit contact mechanics and implicit material point methods.
Please reach out to collaborate 😃
Featured Projects
Ratel-Runner
Ratel-Runner is a tool for optimized building and running of Ratel on high-performance computing systems.
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Ratel Implicit Material Point Method (iMPM)
Ratel iMPM is a fast, powerful material point method solver implemented in the Ratel application, capable of simulating billions of material points on thousands of GPUs.
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1 min read
Recent Publications
(2021).
Distribution system voltage prediction from smart inverters using decentralized regression.
2021 IEEE Power & Energy Society General Meeting (PESGM).
Recent & Upcoming Talks
Grain-Resolving Simulation of Mock-High-Explosives with Ratel Implicit MPM
Abstract: Ratel is a matrix-free, high-order, implicit finite element (FEM) and material point method (MPM) solid mechanics package. In this work, Ratel is used to simulate …
Addressing Numerical Challenges in Frictional Contact Simulation for Finite-Deformation Solid Mechanics
Abstract: The numerical simulation of contact phenomena in implicit, finite-deformation solid mechanics codes presents significant challenges due to the introduction of nonlinear …
The Algorithmic Development of a Fully Asynchronous Conjugate Gradient Method
Abstract: Decentralized computing environments (DCE), or environments, such as edge computing, which utilize spatially distributed, non-hierarchical, and potentially heterogeneous …
Using Decentralized Learning to Reduce Communication in Column-Partitioned, Multi-Agent Systems
Abstract: Multi-agent systems introduce new challenges to distributed computing, such as unreliability and a need for data localization, which require robust decentralized learning …