Cody J. Balos

According to our database, Cody J. Balos authored at least 10 papers between 2018 and 2023.

Collaborative distances:

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

2023

Data-driven time-scale separation of ODE right-hand sides using dynamic mode decomposition and time delay embedding.

Cody J. Balos

CoRR, 2023

Leveraging Mixed Precision in Exponential Time Integration Methods.

Cody J. Balos, Steven Roberts, David J. Gardner

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

2022

Enabling New Flexibility in the SUNDIALS Suite of Nonlinear and Differential/Algebraic Equation Solvers.

David J. Gardner, Daniel R. Reynolds, Carol S. Woodward, Cody J. Balos

ACM Trans. Math. Softw., 2022

Reproduced Computational Results Report for "Ginkgo: A Modern Linear Operator Algebra Framework for High Performance Computing".

Cody J. Balos

ACM Trans. Math. Softw., 2022

Challenges of and Opportunities for a Large Diverse Software Team.

Cody J. Balos, Piotr Luszczek, Sarah Osborn, James M. Willenbring, Ulrike Meier Yang

Comput. Sci. Eng., 2022

2021

Enabling GPU accelerated computing in the SUNDIALS time integration library.

Cody J. Balos, David J. Gardner, Carol S. Woodward, Daniel R. Reynolds

Parallel Comput., 2021

Batched Sparse Iterative Solvers for Computational Chemistry Simulations on GPUs.

Isha Aggarwal, Aditya Kashi, Pratik Nayak, Cody J. Balos, Carol S. Woodward, Hartwig Anzt

Proceedings of the 12th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, 2021

2020

A2Cloud-RF: A random forest based statistical framework to guide resource selection for high-performance scientific computing on the cloud.

David Samuel, Syeduzzaman Khan, Cody J. Balos, Zachariah Abuelhaj, Anthony D. Dutoi, Chadi Kari, David Mueller, Vivek K. Pallipuram

Concurr. Comput. Pract. Exp., 2020

2019

SUNDIALS Multiphysics+MPIManyVector Performance Testing.

Daniel R. Reynolds, David J. Gardner, Cody J. Balos, Carol S. Woodward

CoRR, 2019

2018

A2Cloud: An Analytical Model for Application-to-Cloud Matching to Empower Scientific Computing.

Cody J. Balos, David de la Vega, Zachariah Abuelhaj, Chadi Kari, David Mueller, Vivek K. Pallipuram

Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018