C
Courtenay T. Vaughan
Researcher at Sandia National Laboratories
Publications - 66
Citations - 1120
Courtenay T. Vaughan is an academic researcher from Sandia National Laboratories. The author has contributed to research in topics: Supercomputer & Red Storm. The author has an hindex of 19, co-authored 64 publications receiving 1052 citations.
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Journal ArticleDOI
Zoltan data management services for parallel dynamic applications
TL;DR: The Zoltan library simplifies the load-balancing, data movement, unstructured-communication, and memory usage difficulties that arise in dynamic applications such as adaptive finite-element methods, particle methods, and crash simulations.
Proceedings ArticleDOI
Design of dynamic load-balancing tools for parallel applications
TL;DR: The Zoltan dynamic load-balancing library has an object-oriented interface that makes it easy to use and provides separation between the application and the load- Balancing algorithms, including both geometric and graph-based algorithms.
ReportDOI
MiniGhost: A Miniapp for Exploring Boundary Exchange Strategies Using Stencil Computations in Scientific Parallel Computing
TL;DR: This report describes miniGhost, a miniapp designed for exploration of the capabilities of current as well as emerging and future architectures within the context of current and future architecture applications, and joins the suite of miniapps developed as part of the Mantevo project.
Proceedings ArticleDOI
Energy based performance tuning for large scale high performance computing systems
TL;DR: The unique power measurement capabilities of the Cray XT architecture are exploited to gain an understanding of the power requirements of important DOE/NNSA production scientific computing applications executing at large scale (thousands of nodes).
Proceedings ArticleDOI
Transient dynamics simulations: parallel algorithms for contact detection and smoothed particle hydrodynamics
Steve Plimpton,Bruce Hendrickson,Steve Attaway,J.W. Swegle,Courtenay T. Vaughan,Dave Gardner +5 more
TL;DR: New parallel algorithms for smoothed particle hydrodynamics and contact detection are described which turn out to have several key features in common and how to join the new algorithms with traditional parallel finite element techniques to create an integrated particle/mesh transient dynamics simulation is described.