Kyle E. Niemeyer

38 papers Journal 35Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Performant and Portable Monte Carlo Neutron Transport via Numba. Comput. Sci. Eng. Joanna Piper Morgan, Ilham Variansyah, Braxton Cuneo, Todd S. Palmer, Kyle E. Niemeyer
2024	J	`jnl`	A Structured Framework for Predicting Sustainable Aviation Fuel Properties using Liquid-Phase FTIR and Machine Learning. CoRR Ana E. Comesana, Sharon S. Chen, Kyle E. Niemeyer, Vi H. Rapp
2024	J	`jnl`	Monte Carlo / Dynamic Code (MC/DC): An accelerated Python package for fully transient neutron transport and rapid methods development. J. Open Source Softw. 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
2022	J	`jnl`	Accelerating reactive-flow simulations using vectorized chemistry integration. Comput. Phys. Commun. Nicholas J. Curtis, Kyle E. Niemeyer, Chih-Jen Sung
2021	J	`jnl`	Applying the swept rule for solving explicit partial differential equations on heterogeneous computing systems. J. Supercomput. Daniel J. Magee, Anthony S. Walker, Kyle E. Niemeyer
2021	J	`jnl`	The Two-Dimensional Swept Rule Applied on Heterogeneous Architectures. CoRR Anthony S. Walker, Kyle E. Niemeyer
2020	J	`jnl`	A fast, low-memory, and stable algorithm for implementing multicomponent transport in direct numerical simulations. J. Comput. Phys. Aaron J. Fillo, Jason Schlup, Guillaume Beardsell, Guillaume Blanquart, Kyle E. Niemeyer
2019	—	`conf`	A Project-Based Course on Software Development for (Engineering) Research. ICCS (5) Kyle E. Niemeyer
2019	J	`jnl`	A project-based course on software development for (engineering) research. CoRR Kyle E. Niemeyer
2019	J	`jnl`	pyMARS: automatically reducing chemical kinetic models in Python. J. Open Source Softw. Phillip Mestas, Parker Clayton, Kyle E. Niemeyer
2018	J	`jnl`	Accelerating finite-rate chemical kinetics with coprocessors: Comparing vectorization methods on GPUs, MICs, and CPUs. Comput. Phys. Commun. Christopher P. Stone, Andrew T. Alferman, Kyle E. Niemeyer
2018	J	`jnl`	Accelerating solutions of one-dimensional unsteady PDEs with GPU-based swept time-space decomposition. J. Comput. Phys. Daniel J. Magee, Kyle E. Niemeyer
2018	J	`jnl`	Applying the swept rule for explicit partial differential equation solutions on heterogeneous computing systems. CoRR Daniel J. Magee, Kyle E. Niemeyer
2018	J	`jnl`	Journal of Open Source Software (JOSS): design and first-year review. PeerJ Comput. Sci. 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
2018	J	`jnl`	Publish Your Software: Introducing the Journal of Open Source Software (JOSS). Comput. Sci. Eng. Daniel S. Katz, Kyle E. Niemeyer, Arfon M. Smith
2018	J	`jnl`	The principles of tomorrow's university. F1000Research 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
2018	J	`jnl`	Using SIMD and SIMT vectorization to evaluate sparse chemical kinetic Jacobian matrices and thermochemical source terms. CoRR Nicholas J. Curtis, Kyle E. Niemeyer, Chih-Jen Sung
2017	J	`jnl`	A multi-disciplinary perspective on emergent and future innovations in peer review. F1000Research 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
2017	J	`jnl`	Accelerating solutions of PDEs with GPU-based swept time-space decomposition. CoRR Daniel J. Magee, Kyle E. Niemeyer
2017	J	`jnl`	ChemKED: a human- and machine-readable data standard for chemical kinetics experiments. CoRR Bryan W. Weber, Kyle E. Niemeyer
2017	J	`jnl`	Journal of Open Source Software (JOSS): design and first-year review. CoRR 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 Mattheus Moerman, Pjotr Prins, Karthik Ram, Ariel Rokem, Tracy K. Teal, Roman Valls Guimera, Jacob VanderPlas
2017	J	`jnl`	Report on the Fourth Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE4). CoRR 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
2017	J	`jnl`	pyJac: Analytical Jacobian generator for chemical kinetics. Comput. Phys. Commun. Kyle E. Niemeyer, Nicholas J. Curtis, Chih-Jen Sung
2016	J	`jnl`	Accelerating finite-rate chemical kinetics with coprocessors: comparing vectorization methods on GPUs, MICs, and CPUs. CoRR Christopher P. Stone, Kyle E. Niemeyer
2016	J	`jnl`	An initial investigation of the performance of GPU-based swept time-space decomposition. CoRR Kyle E. Niemeyer, Daniel Magee
2016	J	`jnl`	An investigation of GPU-based stiff chemical kinetics integration methods. CoRR Nicholas J. Curtis, Kyle E. Niemeyer, Chih-Jen Sung
2016	J	`jnl`	GPU-Based Parallel Integration of Large Numbers of Independent ODE Systems. CoRR Kyle E. Niemeyer, Chih-Jen Sung
2016	J	`jnl`	On the importance of graph search algorithms for DRGEP-based mechanism reduction methods. CoRR Kyle E. Niemeyer, Chih-Jen Sung
2016	—	`conf`	PyTeCK: a Python-based automatic testing package for chemical kinetic models. SciPy Kyle E. Niemeyer
2016	J	`jnl`	Report on the Third Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE3). CoRR 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
2016	J	`jnl`	Software Citation Principles. PeerJ Prepr. Arfon M. Smith, Daniel S. Katz, Kyle E. Niemeyer
2016	J	`jnl`	Software citation principles. PeerJ Comput. Sci. Arfon M. Smith, Daniel S. Katz, Kyle E. Niemeyer
2016	J	`jnl`	Software vs. data in the context of citation. PeerJ Prepr. 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
2016	J	`jnl`	The Challenge and Promise of Software Citation for Credit, Identification, Discovery, and Reuse. ACM J. Data Inf. Qual. Kyle E. Niemeyer, Arfon M. Smith, Daniel S. Katz
2016	J	`jnl`	The challenge and promise of software citation for credit, identification, discovery, and reuse. CoRR Kyle E. Niemeyer, Arfon M. Smith, Daniel S. Katz
2014	J	`jnl`	Accelerating moderately stiff chemical kinetics in reactive-flow simulations using GPUs. J. Comput. Phys. Kyle E. Niemeyer, Chih-Jen Sung
2014	—	`ch.`	GPU-Based Parallel Integration of Large Numbers of Independent ODE Systems. Numerical Computations with GPUs Kyle E. Niemeyer, Chih-Jen Sung
2014	J	`jnl`	Recent progress and challenges in exploiting graphics processors in computational fluid dynamics. J. Supercomput. Kyle E. Niemeyer, Chih-Jen Sung