Faculty

Institution

Unit

Venue

Andrew Siegel

Senior Scientist

University of Chicago

Affiliations

Computer Science, Department of

Andrew Siegel is currently serving as a Computer Science, Department Of Senior Scientist at University of Chicago.

Honors

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Experiences

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Education

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Andrew Siegel

University of Chicago

Senior Scientist

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computer science scientific computing applied physics engineering numerical simulations modeling and simulation parallel computing applied mathematics nuclear physics fluid dynamics high performance computing computational engineering astrophysics nuclear engineering computational fluid dynamics numerical analysis high performance computer architecture nuclear science turbulence modeling high-energy astrophysics particle physics fluid flow astrophysical simulations exascale computing multi-physics modelling multiphysics problems monte carlo simulations parallel programming large-scale simulations monte carlo methods advanced computing lunar science relativistic astrophysics numerical mathematics high energy density physics system software fusion engineering co-simulation computer modeling simulation infrastructure monte carlo nuclear energy resilience engineering data compression multi-physics interaction flash code neutral particle transport random ray method data movement algorithm rans-based cfd simulations data decomposition scientific applications global view resilience high-fidelity simulation cluster computing databases multidisciplinary optimization computational physics numerical algorithms parallel storage distributed file systems parallel file systems file systems massively-parallel computing numerical relativity computational models computational geophysics cosmic plasma bubble dynamics astrophysical plasmas dataset storage parallel netcdf serial netcdf interface multiphysics simulations extensible component-based architecture petascale algorithms nuclear chemistry

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Advanced Research Directions on AI for Energy. (2024)

Claus DanielJess GehinKirsten Laurin-KovitzBryan MorrealeRick StevensWilliam TumasMihai AnitescuAlec PoczatekAndrew SiegelSibendu SomRichard VilimRay GroutBenjamin KroposkiMeng YueKelly RoseAhmad Al RashdanChristopher RitterPrasanna BalaprakashPrashant JainTeja KurugantiMary PietteTianzhen HongCourt CorleyRobert RalloJohn GroshBrian Van EssenMatt RenoHari ViswanathanFrank AlexanderEmily Dietrich

advanced research directionscomputer scienceartificial intelligence

The Scientific Impact of the Exascale Computing Project. Computing in Science & Engineering (2024)

Erik W. DraegerAndrew SiegelSteven Gottlieb

exascale computing projectexascale computingscientific impactengineeringscientific computing

Efficient Algorithms for Monte Carlo Particle Transport on AI Accelerator Hardware. Computer Physics Communications (2023)

John TrammBryce AllenKazutomo YoshiiAndrew SiegelLeighton Wilson

machine learningcomputer scienceai accelerator hardwareefficient algorithms

Exascale Was Not Inevitable; Neither is What Comes Next. Computing in Science & Engineering (2023)

Erik W. DraegerAndrew Siegel

computational sciencecomputer scienceexascale computingtechnologyengineeringscientific computingexpectation formation

Hardware Specialization: Estimating Monte Carlo Cross-Section Lookup Kernel Performance and Area. (2023)

Kazutomo YoshiiJohn TrammBryce AllenTomohiro UenoKentaro SanoAndrew SiegelPete Beckman

hardware specializationcomputer scienceperformance evaluation

Application Results on Early Exascale Hardware. (2022)

Andrew SiegelErik DraegerJack DeslippeThomas EvansMarianne FrancoisTimothy GermannDaniel MartinWilliam Hart

exascale computingearly exascale hardwarecomputer engineering

Flash. Elsevier eBooks (2022)

Dong GuoShenshen ChenKai GaoQiao XiangYing ZhangY. Richard Yang

data plane updatesnetwork analysiscomputer scienceprogrammable data planescalabilitynetwork traffic measurementdata plane verificationupdate stormsnetworked system designcomputer engineeringdistributed systemshigh performance computer networkformal verificationverification

Toward Portable GPU Acceleration of the Openmc Monte Carlo Particle Transport Code. (2022)

John TrammPaul RomanoJohannes DoerfertAmanda LundPatrick ShriwiseAndrew SiegelGavin RidleyAndrew Pastrello

portable gpu accelerationparticle physicsapplied physicsparticle accelerators

A Comparison of Stochastic Mesh Cell Volume Computation Strategies for the Random Ray Method of Neutral Particle Transport. EPJ Web of Conferences (2021)

John R. TrammAndrew R. SiegelAmanda L. LundPaul K. Romano

nanotechnologyrandom ray methodapplied physicsapplied mathematicsneutral particle transport

A Survey of Software Implementations Used by Application Codes in the Exascale Computing Project. The International Journal of High Performance Computing Applications (2021)

Thomas M EvansAndrew SiegelErik W DraegerJack DeslippeMarianne M FrancoisTimothy C GermannWilliam E HartDaniel F Martin

exascale computing projectexascale computinghigh performance computingapplication codes

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Andrew Siegel

Senior Scientist

University of Chicago

Affiliations

Computer Science, Department of

Andrew Siegel is currently serving as a Computer Science, Department Of Senior Scientist at University of Chicago.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Andrew Siegel

University of Chicago

Senior Scientist

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Advanced Research Directions on AI for Energy. (2024)

advanced research directionscomputer scienceartificial intelligence

The Scientific Impact of the Exascale Computing Project. Computing in Science & Engineering (2024)

Erik W. DraegerAndrew SiegelSteven Gottlieb

exascale computing projectexascale computingscientific impactengineeringscientific computing

Efficient Algorithms for Monte Carlo Particle Transport on AI Accelerator Hardware. Computer Physics Communications (2023)

John TrammBryce AllenKazutomo YoshiiAndrew SiegelLeighton Wilson

machine learningcomputer scienceai accelerator hardwareefficient algorithms

Exascale Was Not Inevitable; Neither is What Comes Next. Computing in Science & Engineering (2023)

Erik W. DraegerAndrew Siegel

computational sciencecomputer scienceexascale computingtechnologyengineeringscientific computingexpectation formation

Hardware Specialization: Estimating Monte Carlo Cross-Section Lookup Kernel Performance and Area. (2023)

Kazutomo YoshiiJohn TrammBryce AllenTomohiro UenoKentaro SanoAndrew SiegelPete Beckman

hardware specializationcomputer scienceperformance evaluation

Application Results on Early Exascale Hardware. (2022)

Andrew SiegelErik DraegerJack DeslippeThomas EvansMarianne FrancoisTimothy GermannDaniel MartinWilliam Hart

exascale computingearly exascale hardwarecomputer engineering

Flash. Elsevier eBooks (2022)

Dong GuoShenshen ChenKai GaoQiao XiangYing ZhangY. Richard Yang

Toward Portable GPU Acceleration of the Openmc Monte Carlo Particle Transport Code. (2022)

John TrammPaul RomanoJohannes DoerfertAmanda LundPatrick ShriwiseAndrew SiegelGavin RidleyAndrew Pastrello

portable gpu accelerationparticle physicsapplied physicsparticle accelerators

A Comparison of Stochastic Mesh Cell Volume Computation Strategies for the Random Ray Method of Neutral Particle Transport. EPJ Web of Conferences (2021)

John R. TrammAndrew R. SiegelAmanda L. LundPaul K. Romano

nanotechnologyrandom ray methodapplied physicsapplied mathematicsneutral particle transport

A Survey of Software Implementations Used by Application Codes in the Exascale Computing Project. The International Journal of High Performance Computing Applications (2021)

Thomas M EvansAndrew SiegelErik W DraegerJack DeslippeMarianne M FrancoisTimothy C GermannWilliam E HartDaniel F Martin

exascale computing projectexascale computinghigh performance computingapplication codes

1
2
3
4
5
9
10 / page

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