Before joining LLNL, Cody worked on enterprise web applications for a healthcare company for three years. He earned a B.S. in Computer Engineering in 2018 from University of the Pacific where he worked with Vivek Pallipuram on mapping scientific applications to cloud computing resources.
Algorithms for GPU-enabled time-integration
Machine learning applied to time-integration and vice versa
Data-driven reduced order modeling in scientific applications
Applying software engineering practices to scientific software
C. Balos, D. De La Vega, Z. Abuelhaj, C. Kari, D. Mueller and V. K. Pallipuram, "A2Cloud: An Analytical Model for Application-to-Cloud Matching to Empower Scientific Computing," 2018 IEEE 11th International Conference on Cloud Computing (CLOUD), San Francisco, CA, USA, 2018, pp. 548-555.
Posters & Presentations
C.J. Balos, D.J. Gardner, D.R. Reynolds, C.S. Woodward, and A.C. Hindmarsh, "Strategies, Challenges, and Lessons Learned in Developing GPU Support for SUNDIALS," In 2020 SIAM Conference on Parallel Processing (PP20), Seattle, WA, USA, February 12-February 15 2020.
C.S. Woodward, D.R. Reynolds, D.J. Gardner, and C.J. Balos, "Introduction to the Capabilities and Use of the SUNDIALS Suite of Nonlinear and Differential/Algebraic Equation Solvers," In Exascale Computing Project Annual Meeting 2020, Houston, TX, USA, February 3-February 6 2020.
C.J. Balos, D.J. Gardner, D.R. Reynolds, C.S. Woodward, S. Peles, A.C. Hindmarsh, "Shaping a Sustainable SUNDIALS: Applying Software Sustainability Practices to a CSE Library," In 2019 SIAM Conference on Computational Science and Engineering (CSE'19), Spokane, WA, USA, Februrary 25-March 1 2019. [DOI]