Andrew Siegel

ORCID: 0009-0002-6552-0982
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About
Contact & Profiles
Research Areas
  • Nuclear reactor physics and engineering
  • Parallel Computing and Optimization Techniques
  • Nuclear Physics and Applications
  • Distributed and Parallel Computing Systems
  • Advanced Data Storage Technologies
  • Graphite, nuclear technology, radiation studies
  • Radiation Effects in Electronics
  • Fluid Dynamics and Turbulent Flows
  • Nuclear Materials and Properties
  • Scientific Computing and Data Management
  • Nuclear Engineering Thermal-Hydraulics
  • Distributed systems and fault tolerance
  • Gamma-ray bursts and supernovae
  • Computational Fluid Dynamics and Aerodynamics
  • Astrophysics and Cosmic Phenomena
  • Astrophysics and Star Formation Studies
  • Particle Detector Development and Performance
  • Solar and Space Plasma Dynamics
  • Model Reduction and Neural Networks
  • Cloud Computing and Resource Management
  • Meteorological Phenomena and Simulations
  • Combustion and flame dynamics
  • Fluid Dynamics and Vibration Analysis
  • Wind and Air Flow Studies
  • Radiation Detection and Scintillator Technologies

Argonne National Laboratory
2015-2024

University of Chicago
2003-2024

American Neurotology Society
2015

Commissariat à l'Énergie Atomique et aux Énergies Alternatives
2010

Mitchell Institute
2010

Texas A&M University
2010

CEA Cadarache
2010

Office of Scientific and Technical Information
2006-2008

Office of Nuclear Energy
2006

University of Colorado Boulder
2001

Dataset storage, exchange, and access play a critical role in scientific applications. For such purposes netCDF serves as portable, efficient file format programming interface, which is popular numerous application domains. However, the original interface does not provide an mechanism for parallel data storage access. In this work, we present new writing reading datasets. This derived with minimal changes from serial but defines semantics tailored high performance. The underlying I/O...

10.1145/1048935.1050189 article EN 2003-11-15

We consider multiphysics applications from algorithmic and architectural perspectives, where “algorithmic” includes both mathematical analysis computational complexity, “architectural” software hardware environments. Many diverse can be reduced, en route to their simulation, a common algebraic coupling paradigm. Mathematical of in this form is not always practical for realistic applications, but model problems representative discussed herein provide insight. A variety frameworks have been...

10.1177/1094342012468181 article EN The International Journal of High Performance Computing Applications 2013-02-01

As noted in Wikipedia, skin the game refers to having ‘incurred risk by being involved achieving a goal’, where ‘ is synecdoche for person involved, and metaphor actions on field of play under discussion’. For exascale applications development US Department Energy Exascale Computing Project, nothing could be more apt, with delivering comprehensive science-based computational that effectively exploit high-performance computing technologies provide breakthrough modelling simulation data...

10.1098/rsta.2019.0056 article EN cc-by Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences 2020-01-20

We describe recent algorithmic developments that have enabled large eddy simulations of reactor flows on up to P = 65, 000 processors the IBM BG/P at Argonne Leadership Computing Facility.

10.1088/1742-6596/125/1/012076 article EN Journal of Physics Conference Series 2008-07-01

We model the hydrodynamic interaction of a shock wave an evolved supernova remnant with small interstellar gas cloud like ones observed in Cygnus loop and Vela SNR. investigate interplay between radiative cooling thermal conduction during evolution their effect on mass energy exchange surrounding medium. Through study two cases characterized by different Mach numbers primary ( 50, corresponding to post-shock temperature K ≈ K, respectively), we explore very physical regimes: for , losses...

10.1051/0004-6361:20052896 article EN Astronomy and Astrophysics 2005-11-25

We look in detail at the process of mapping an astrophysical initial model from a stellar evolution code onto computational grid explicit, Godunov type while maintaining hydrostatic equilibrium. This is common simulations, when it necessary to follow short-timescale dynamics after period long timescale buildup. effects spatial resolution, boundary conditions, treatment gravitational source terms hydrodynamics solver, and initialization itself. conclude with summary detailing that yields...

10.1086/342754 article EN The Astrophysical Journal Supplement Series 2002-12-01

We model the hydrodynamic interaction of a shock wave an evolved supernova remnant with small interstellar gas cloud like ones observed in Cygnus loop and Vela SNR. investigate interplay between radiative cooling thermal conduction during evolution their effect on mass energy exchange surrounding medium. Through study two cases characterized by different Mach numbers primary (M = 30 50, corresponding to post-shock temperature $T\approx 1.7\times 10^6$ K $\approx 4.7\times K, respectively),...

10.48550/arxiv.astro-ph/0508638 preprint EN other-oa arXiv (Cornell University) 2005-01-01

Recent Chandra and XMM-Newton observations of galaxy cluster cooling flows have revealed X-ray emission voids up to 30 kpc in size that been identified with buoyant, magnetized bubbles. Motivated by these observations, we investigated the behavior rising bubbles stratified atmospheres using FLASH adaptive-mesh simulation code. We present results from two-dimensional simulations without effects magnetic fields varying bubble sizes background stratifications. find purely hydrodynamic be...

10.1086/380817 article EN The Astrophysical Journal 2004-02-01

The FLASH code has evolved into a modular and extensible scientific simulation software system over the decade of its existence. During this time it been cumulatively used by thousand researchers to investigate problems in astrophysics, cosmology, some areas basic physics, such as turbulence. Recently, many new capabilities have added enable simulate high-energy density physics. Enhancements these continue, along with enhancements enabling simulations fluid-structure interactions. started...

10.1177/1094342013505656 article EN The International Journal of High Performance Computing Applications 2013-10-03

The US Department of Energy Office Science and the National Nuclear Security Administration initiated Exascale Computing Project (ECP) in 2016 to prepare mission-relevant applications scientific software for delivery exascale computers starting 2023. ECP currently supports 24 efforts directed at specific six supporting co-design projects. These application projects contain 62 codes that are implemented three high-level languages—C, C++, Fortran—and use 22 combinations graphical processing...

10.1177/10943420211028940 article EN The International Journal of High Performance Computing Applications 2021-06-25

Performance results are presented for a multi-threaded version of the OpenMC Monte Carlo neutronics code using OpenMP in context nuclear reactor criticality calculations. Our main interest is production computing, and thus we limit our approach to threading strategies that both require reasonable levels development effort preserve features necessary robust application real-world problems. Several approaches developed compared on several multi-core platforms popular physics benchmark. A broad...

10.1177/1094342013492179 article EN The International Journal of High Performance Computing Applications 2013-07-14

Exascale studies project reliability challenges for future high-performance computing (HPC) systems. We propose the Global View Resilience (GVR) system, a library that enables applications to add resilience in portable, application-controlled fashion using versioned distributed arrays. describe GVR's interfaces arrays, versioning, and cross-layer error recovery. Using several large (OpenMC, preconditioned conjugate gradient solver PCG, ddcMD, Chombo), we evaluate programmer effort...

10.1016/j.procs.2015.05.187 article EN Procedia Computer Science 2015-01-01

A generalized wavelet-packet based technique for decomposing signals into coherent and noncoherent parts is presented. The method tested on the vorticity field of numerical simulations weakly decaying two-dimensional turbulence. easily recognizable vortex structures that emerge are systematically filtered from solution. Once extracted, various properties vortices, such as their number, size, circulation, peak value computed. results compare well with a similar study [J. Fluid Mech. 219, 361...

10.1063/1.869318 article EN Physics of Fluids 1997-07-01

A wind‐driven, closed‐basin quasi‐geostrophic ocean model is computed at very high horizontal resolution to study the effect of increasing Reynolds number (Re) on eddy variability. Five numerical simulations are performed with identical configurations, varying only in and viscosity coefficient (and therefore Re). Qualitative changes structure variability evident dramatic increase isolated vortex structures highest Re. While time‐mean kinetic energy relatively independent Re, emergence...

10.1029/1999gl011246 article EN Geophysical Research Letters 2001-08-15

10.1016/j.anucene.2014.08.038 article EN publisher-specific-oa Annals of Nuclear Energy 2014-09-05
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