Dan is an HPC Engineer in the User Assistance and Outreach group (UAO). He earned a B.S. in Computer Science in 2011 and a M.S. in Atmospheric Science in 2018, both from Purdue University. Dan has over 10 years of HPC and software development experience across academia, research, and industry. Prior to joining ORNL in 2020, he worked at Rolls-Royce supporting aerospace engineering design and analysis on HPC systems, and at Purdue University supporting a variety of researchers on Purdue’s HPC systems, where he joined the HPC team as an undergraduate.
Harrell, S., Brazil, M., Younts, A., Dietz, D., Smith, P., Gough, E., Zhu, X., Andino, G., Mentoring Undergraduates into Cyber-Facilitator Roles, PEARC18: Proceedings of the Practice and Experience in Advanced Research Computing 2018 on Sustainability, Success and Impact, July 2018.
Dietz, Daniel T., Gorenstein, Lev A., Veldman, Gregory S., and Colby, Kevin D., Shared Research Group Storage Solution with Integrated Access Management, Proceedings of the Practice and Experience in Advanced Research Computing 2017 on Sustainability, Success and Impact, July 2017.
Dietz, Daniel T., Maji, Amiya K., Colby, Kevin D., DynMD: A Quick and Easy Tool for Managing HPC Documentation, Fourth Workshop on HPC Training Best Practices, November 2017
Saunders, Patrick E., Tanamachi, Robin, Dietz, Daniel, Heberling, William, and Frasier, Stephen, Objective Identification and Tracking of ZDR columns in X-band Radar Observations of Storms, 38th Conference on Radar Meteorology, August 2017.
Dietz, Daniel, and Hoogewind, Kimberly, Utilizing Intel Xeon Phi Coprocessors Concurrently with Intel Xeon Processors to Accelerate WRF Simulation Throughput, 95th American Meteorological Society Annual Meeting, 2015.
Colby, Kevin D., Dietz, Daniel T., Smith, Preston M., and Cumberland, Donna D., Self-Service Queue and User Management in Community Clusters at Purdue University, First International Workshop on HPC Tools for User Support, November 2014.