Kyle E. Niemeyer

According to our database, Kyle E. Niemeyer authored at least 33 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Monte Carlo / Dynamic Code (MC/DC): An accelerated Python package for fully transient neutron transport and rapid methods development.

Joanna Piper Morgan, Ilham Variansyah, Samuel L. Pasmann, Kayla B. Clements, Braxton Cuneo, Alexander Mote, Charles Goodman, Caleb Shaw, Jordan Northrop, Rohan Pankaj, Ethan Lame, Benjamin Whewell, Ryan G. McClarren, Todd S. Palmer, Lizhong Chen, Dmitriy Y. Anistratov, C. T. Kelley, Camille J. Palmer, Kyle E. Niemeyer

J. Open Source Softw., April, 2024

A Structured Framework for Predicting Sustainable Aviation Fuel Properties using Liquid-Phase FTIR and Machine Learning.

Ana E. Comesana, Sharon S. Chen, Kyle E. Niemeyer, Vi H. Rapp

CoRR, 2024

2022

Accelerating reactive-flow simulations using vectorized chemistry integration.

Nicholas J. Curtis, Kyle E. Niemeyer, Chih-Jen Sung

Comput. Phys. Commun., 2022

2021

Applying the swept rule for solving explicit partial differential equations on heterogeneous computing systems.

Daniel J. Magee, Anthony S. Walker, Kyle E. Niemeyer

J. Supercomput., 2021

The Two-Dimensional Swept Rule Applied on Heterogeneous Architectures.

Anthony S. Walker, Kyle E. Niemeyer

CoRR, 2021

2020

A fast, low-memory, and stable algorithm for implementing multicomponent transport in direct numerical simulations.

Aaron J. Fillo, Jason Schlup, Guillaume Beardsell, Guillaume Blanquart, Kyle E. Niemeyer

J. Comput. Phys., 2020

2019

pyMARS: automatically reducing chemical kinetic models in Python.

Phillip Mestas, Parker Clayton, Kyle E. Niemeyer

J. Open Source Softw., 2019

A Project-Based Course on Software Development for (Engineering) Research.

Kyle E. Niemeyer

Proceedings of the Computational Science - ICCS 2019, 2019

2018

Journal of Open Source Software (JOSS): design and first-year review.

Arfon M. Smith, Kyle E. Niemeyer, Daniel S. Katz, Lorena A. Barba, George Githinji, Melissa Gymrek, Kathryn D. Huff, Christopher R. Madan, Abigail Cabunoc Mayes, Kevin M. Moerman, Pjotr Prins, Karthik Ram, Ariel Rokem, Tracy K. Teal, Roman Valls Guimera, Jacob VanderPlas

PeerJ Comput. Sci., 2018

Accelerating solutions of one-dimensional unsteady PDEs with GPU-based swept time-space decomposition.

Daniel J. Magee, Kyle E. Niemeyer

J. Comput. Phys., 2018

The principles of tomorrow's university.

Daniel S. Katz, Gabrielle Allen, Lorena A. Barba, Devin R. Berg, Holly Bik, Carl Boettiger, Christine L. Borgman, C. Titus Brown, Stuart Buck, Randy Burd, Anita de Waard, Martin Paul Eve, Brian E. Granger, Josh Greenberg, Adina Howe, Bill Howe, May Khanna, Timothy L. Killeen, Matthew S. Mayernik, Erin C. McKiernan, Chris Mentzel, Nirav C. Merchant, Kyle E. Niemeyer, Laura Norén, Sarah M. Nusser, Daniel A. Reed, Edward Seidel, MacKenzie Smith, Jeffrey R. Spies, Matthew J. Turk, John D. Van Horn, Jay Walsh

F1000Research, 2018

Publish Your Software: Introducing the Journal of Open Source Software (JOSS).

Daniel S. Katz, Kyle E. Niemeyer, Arfon M. Smith

Comput. Sci. Eng., 2018

Accelerating finite-rate chemical kinetics with coprocessors: Comparing vectorization methods on GPUs, MICs, and CPUs.

Christopher P. Stone, Andrew T. Alferman, Kyle E. Niemeyer

Comput. Phys. Commun., 2018

Applying the swept rule for explicit partial differential equation solutions on heterogeneous computing systems.

Daniel J. Magee, Kyle E. Niemeyer

CoRR, 2018

Using SIMD and SIMT vectorization to evaluate sparse chemical kinetic Jacobian matrices and thermochemical source terms.

Nicholas J. Curtis, Kyle E. Niemeyer, Chih-Jen Sung

CoRR, 2018

2017

A multi-disciplinary perspective on emergent and future innovations in peer review.

Jonathan P. Tennant, Jonathan M. Dugan, Daniel Graziotin, Damien C. Jacques, François Waldner, Daniel Mietchen, Yehia Elkhatib, Lauren B. Collister, Christina K. Pikas, Tom Crick, Paola Masuzzo, Anthony Caravaggi, Devin R. Berg, Kyle E. Niemeyer, Tony Ross-Hellauer, Sara Mannheimer, Lillian Rigling, Daniel S. Katz, Bastian Greshake Tzovaras, Josmel Pacheco-Mendoza, Nazeefa Fatima, Marta Poblet, Marios Isaakidis, Dasapta Erwin Irawan, Sébastien Renaut, Christopher R. Madan, Lisa Matthias, Jesper Nørgaard Kjær, Daniel Paul O'Donnell, Cameron Neylon, Sarah Kearns, Manojkumar Selvaraju, Julien Colomb

F1000Research, 2017

pyJac: Analytical Jacobian generator for chemical kinetics.

Kyle E. Niemeyer, Nicholas J. Curtis, Chih-Jen Sung

Comput. Phys. Commun., 2017

ChemKED: a human- and machine-readable data standard for chemical kinetics experiments.

Bryan W. Weber, Kyle E. Niemeyer

CoRR, 2017

Accelerating solutions of PDEs with GPU-based swept time-space decomposition.

Daniel J. Magee, Kyle E. Niemeyer

CoRR, 2017

Report on the Fourth Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE4).

Daniel S. Katz, Kyle E. Niemeyer, Sandra Gesing, Lorraine J. Hwang, Wolfgang Bangerth, Simon Hettrick, Ray Idaszak, Jean Salac, Neil P. Chue Hong, Santiago Núñez Corrales, Alice Allen, R. Stuart Geiger, Jonah Miller, Emily Chen, Anshu Dubey, Patricia Lago

CoRR, 2017

2016

Software Citation Principles.

Arfon M. Smith, Daniel S. Katz, Kyle E. Niemeyer

PeerJ Prepr., 2016

Software vs. data in the context of citation.

Daniel S. Katz, Kyle E. Niemeyer, Arfon M. Smith, William L. Anderson, Carl Boettiger, Konrad Hinsen, Rob W. W. Hooft, Michael Hucka, Allen Lee, Frank Löffler, Tom J. Pollard, Fernando Rios

PeerJ Prepr., 2016

The Challenge and Promise of Software Citation for Credit, Identification, Discovery, and Reuse.

Kyle E. Niemeyer, Arfon M. Smith, Daniel S. Katz

ACM J. Data Inf. Qual., 2016

Accelerating finite-rate chemical kinetics with coprocessors: comparing vectorization methods on GPUs, MICs, and CPUs.

Christopher P. Stone, Kyle E. Niemeyer

CoRR, 2016

GPU-Based Parallel Integration of Large Numbers of Independent ODE Systems.

Kyle E. Niemeyer, Chih-Jen Sung

CoRR, 2016

On the importance of graph search algorithms for DRGEP-based mechanism reduction methods.

Kyle E. Niemeyer, Chih-Jen Sung

CoRR, 2016

An initial investigation of the performance of GPU-based swept time-space decomposition.

Kyle E. Niemeyer, Daniel Magee

CoRR, 2016

Report on the Third Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE3).

Daniel S. Katz, Sou-Cheng T. Choi, Kyle E. Niemeyer, James Hetherington, Frank Löffler, Dan Gunter, Ray Idaszak, Steven R. Brandt, Mark A. Miller, Sandra Gesing, Nick D. Jones, Nic Weber, Suresh Marru, Gabrielle Allen, Birgit Penzenstadler, Colin C. Venters, Ethan Davis, Lorraine J. Hwang, Ilian T. Todorov, Abani K. Patra, Miguel de Val-Borro

CoRR, 2016

An investigation of GPU-based stiff chemical kinetics integration methods.

Nicholas J. Curtis, Kyle E. Niemeyer, Chih-Jen Sung

CoRR, 2016

PyTeCK: a Python-based automatic testing package for chemical kinetic models.

Kyle E. Niemeyer

Proceedings of the 15th Python in Science Conference 2016 (SciPy 2016), Austin, Texas, July 11, 2016

2014

Recent progress and challenges in exploiting graphics processors in computational fluid dynamics.

Kyle E. Niemeyer, Chih-Jen Sung

J. Supercomput., 2014

Accelerating moderately stiff chemical kinetics in reactive-flow simulations using GPUs.

Kyle E. Niemeyer, Chih-Jen Sung

J. Comput. Phys., 2014

GPU-Based Parallel Integration of Large Numbers of Independent ODE Systems.

Kyle E. Niemeyer, Chih-Jen Sung

Proceedings of the Numerical Computations with GPUs, 2014