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Contributors
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Ben Bergen
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**CCS-7 Applied Computer Science** |br|
*Los Alamos National Laboratory*
Ben is a computational scientist working on problems in space
physics and weapons science. He is also interested in
understanding and developing programming models and tools for
modern computing architectures.
Ben is the current Co-Design Team and Project lead. He is also a
deputy project lead for the Ristra Project, part of the Advanced
Technology Development & Mitigation (ATDM) Program under the
Department of Energy (DOE).
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Christoph Junghans
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**CCS-7 Applied Computer Science** |br|
*Los Alamos National Laboratory*
Christoph is a computational physicist with a background in
molecular dynamics and multi-scale physics applications. He also
has experience in software engineering and task-based run-time
systems. His interests lie in understanding modern computing
architectures and the design of sustainable code.
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David Daniel
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**CCS-7 Applied Computer Science** |br|
*Los Alamos National Laboratory*
David is a computational scientist with a broad background in
parallel computing, and in physics research from QCD to cosmology.
Currently, David is the computer science lead for LANL's Ristra
project that is developing a suite of next-generation
multi-physics codes based on FleCSI targeting exascale-class
computers and beyond.
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Irina Demeshko
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**CCS-7 Applied Computer Science** |br|
*Los Alamos National Laboratory*
Irina is a computational scientist on the Co-Design Team. Her
research interests are focused on new HPC technologies in
application and large-scale scientific simulation codes. Her
current work is directed at integrating task-based runtime systems
into several software projects at LANL, including the FleCSI and
CANGA projects.
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Jonas Lippuner
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**CCS-2 Computational Physics & Methods** |br|
*Los Alamos National Laboratory*
Jonas is a computational scientist with a background in
computational and nuclear astrophysics. His research has been
focused on the origin of heavy elements like silver, gold, and
uranium. He has developed a sophisticated nuclear reaction network
to simulate how such elements and thousands of other isotopes are
created in various astrophysical scenarios, such as the merger of
two neutron stars or the explosion of a massive star. Jonas also
has extensive experience with developing highly optimized code for
GPUs. He is working on implementing physics applications on top of
the FleCSI framework.
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Jonathan Graham
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**CCS-7 Applied Computer Science** |br|
*Los Alamos National Laboratory*
Jonathan has a multidisciplinary background in observational solar
physics, turbulence theory, astrophysical simulation, the oil and
gas industry, and programming models for exascale computing. He
has published papers evaluating mesoscale ocean large-eddy
simulation models by employing spectral transfer analysis,
determining the limits of fractal extrapolation of the mean solar
magnetic flux, investigating the small scale dynamo in convective,
radiative magnetohydrodynamics, and several papers on using
mathematical closures for large eddy simulations.
Jonathan has been involved in using Legion task-based parallelism
for exascale computing both in proxy applications and in the
development of FleCSI.
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Nick Moss
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**Data Science Team** |br|
*Medable*
Nick is a computer scientist and former member of the CCS-7
programming models team with expertise in programming systems and
domain-specific languages, compiler design, LLVM, C++ internals
and Clang, parallel, concurrent, and task-based programming
models, and distributed data systems.
Nick is one of the primary designers of FLeCSI, having designed
and implemented various parts of its infrastructure including:
mesh and tree topology, data model, distributed task execution,
and more recently has worked on the Kitsune project to produce a
specialized FleCSI compiler.
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Oleg Korobkin
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**CCS-7 Applied Computer Science** |br|
*Los Alamos National Laboratory*
Oleg is a computational physicist with a background in numerical
relativity and relativistic astrophysics, with a particular focus
on physics of neutron stars and accretion disks around black
holes. He also has experience in simulating nucleosynthesis of
heavy elements by solving complex nuclear reaction networks. He is
interested in the inner workings of gamma-ray bursts, specifically
in modeling violent relativistic hydrodynamics of neutron star
mergers and investigating a variety of potentially observable
signals.
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Li-Ta (Ollie) Lo
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**CCS-7 Applied Computer Science** |br|
*Los Alamos National Laboratory*
Li-Ta Lo is currently a computer scientist with the Data Science
at Scale team of Los Alamos National Laboratory. His research
interests include data science, large-scale visualization and
analysis, data-parallel programming and software engineering for
scientific computing. His work for FleCSI focuses on providing an
efficient and scalable MPI backend.
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Karen Tsai
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**CCS-7 Applied Computer Science** |br|
*Los Alamos National Laboratory*
Karen is a computer and computational scientist who is interested
in understanding, designing, and developing application code with
scientists. She is also interested in learning about and utilizing
modern computing tools to optimize algorithms and visualize
complex datasets. She has a Master of Science in Computational
Science, Engineering and Mathematics and a Bachelor of Science in
Computer Science from the University of Texas – Austin.
Karen joined the Co-Design Team in the fall of 2017 to work on the
Ristra and FleCSI projects.
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Wei Wu
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**CCS-7 Applied Computer Science** |br|
*Los Alamos National Laboratory*
Wei is a computer scientist whose research is focused on runtime
systems and programing models for heterogeneous systems. He has
worked on a variety of task-based runtime systems, such as Legion
and PaRSEC. He was also a member of the Open MPI team, developing
CUDA-aware capability for Open MPI. Wei received his Ph.D. in
Computer Science from the University of Tennessee at Knoxville,
and joined the Programming Models team in 2017.
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