Andrew J. Younge, Ph.D
R&D Manager, Scalable Computer Architectures — Sandia National Laboratories
Sandia National Laboratories
P.O. Box 5800 MS 1319
Albuquerque, NM 87185
ajyoung@sandia.gov
+1 (505) 225-5038
Andrew J. Younge is the R&D Manager of the Scalable Computer Architectures department at Sandia National Laboratories. The department is responsible for leading activities in specifying and developing future generations of high-performance computing systems to meet a broad cross-section of Sandia’s national security missions. Andrew currently serves as the Sandia sub-element Lead for Computational Systems and Software Environments (CSSE) within the DOE/NNSA Advanced Simulation and Computing (ASC) program, which includes the Vanguard prototype systems and the Advanced Memory Technology research portfolio.
During his career at Sandia, he contributed to Astra, the world’s first Petascale supercomputer based on an Arm processor. Andrew also held PI roles within the DOE Exascale Computing Project and various national security program areas, where his research focuses on improving the usability and efficiency of supercomputing systems.
Andrew’s contributions at Sandia have been recognized as NNSA Defense Programs Awards of Excellence in 2019 and 2024, as well as an R&D 100 award in 2018. Prior to joining Sandia, Andrew held visiting positions at the MITRE Corporation, the University of Southern California / Information Sciences Institute, and the University of Maryland, College Park. He received his PhD in Computer Science from Indiana University in 2016 and his BS and MS in Computer Science from the Rochester Institute of Technology in 2008 and 2010, respectively.
selected publications
- Chronicles of Astra: Challenges and Lessons from the First Petascale Arm SupercomputerIn Proceedings of The International Conference for High Performance Computing, Networking, Storage, and Analysis, Nov 2020
- A Case for Portability and Reproducibility of HPC ContainersIn 1st International Workshop on Containers and New Orchestration Paradigms for Isolated Environments in HPC (CANOPIE-HPC) at Supercomputing 2019, 2019
- Supporting High Performance Molecular Dynamics in Virtualized Clusters Using IOMMU, SR-IOV, and GPUDirectIn Proceedings of the 11th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments, Istanbul, Turkey, 2015