Charliecloud: Unprivileged containers for user-defined software stacks in hpc R Priedhorsky, T Randles Proceedings of the international conference for high performance computing …, 2017 | 172 | 2017 |
HPC container runtimes have minimal or no performance impact A Torrez, T Randles, R Priedhorsky 2019 IEEE/ACM International Workshop on Containers and New Orchestration …, 2019 | 49 | 2019 |
Workflows community summit: Bringing the scientific workflows community together RF da Silva, H Casanova, K Chard, D Laney, D Ahn, S Jha, C Goble, ... arXiv preprint arXiv:2103.09181, 2021 | 21 | 2021 |
Beeflow: A workflow management system for in situ processing across hpc and cloud systems J Chen, Q Guan, Z Zhang, X Liang, L Vernon, A McPherson, LT Lo, ... 2018 IEEE 38th International Conference on Distributed Computing Systems …, 2018 | 20 | 2018 |
Minimizing privilege for building HPC containers R Priedhorsky, RS Canon, T Randles, AJ Younge Proceedings of the International Conference for High Performance Computing …, 2021 | 13 | 2021 |
BeeSwarm: enabling parallel scaling performance measurement in continuous integration for HPC applications J Tronge, J Chen, P Grubel, T Randles, R Davis, Q Wofford, S Anaya, ... 2021 36th IEEE/ACM International Conference on Automated Software …, 2021 | 9 | 2021 |
Build and execution environment (BEE): an encapsulated environment enabling HPC applications running everywhere J Chen, Q Guan, X Liang, P Bryant, P Grubel, A McPherson, LT Lo, ... 2018 IEEE International Conference on Big Data (Big Data), 1737-1746, 2018 | 7 | 2018 |
Bee orchestrator: Running complex scientific workflows on multiple systems J Tronge, P Grubel, T Randles, Q Wofford, R Davis, S Anaya, Q Guan 2021 IEEE 28th International Conference on High Performance Computing, Data …, 2021 | 4 | 2021 |
Workflows Community Summit: Bringing the Scientific Workflows Community Together R Ferreira da Silva, H Casanova, K Chard, D Laney, D Ahn, S Jha, ... arXiv e-prints, arXiv: 2103.09181, 2021 | 4 | 2021 |
An evaluation of risks associated with relying on Fortran for mission critical codes for the next 15 years GM Shipman, TC Randles Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2023 | 2 | 2023 |
The future of HPC in nuclear security GM Shipman, J Pruet, D Daniel, J Dolence, G Grider, BM Haines, ... IEEE Internet Computing 27 (1), 16-23, 2022 | 2 | 2022 |
HPC container runtime performance overhead: At first order, there is none A Torrez, R Priedhorsky, T Randles | 2 | 2020 |
Linux containers for fun and profit in HPC R Priedhorsky, T Randles USENIX Open Access Policy, 12, 2020 | 2 | 2020 |
Charliecloud R Priedhorsky, T Randles Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2015 | 2 | 2015 |
BeeSwarm: Enabling Scalability Tests in Continuous Integration J Chen, Q Guan, LT Lo, P Grubel, T Randles arXiv preprint arXiv:2007.10491, 2020 | 1 | 2020 |
An HPC-Container Based Continuous Integration Tool for Detecting Scaling and Performance Issues in HPC Applications J Tronge, J Chen, P Grubel, T Randles, R Davis, Q Wofford, S Anaya, ... IEEE Transactions on Services Computing, 2023 | | 2023 |
25 Years of Cluster Computing at Los Alamos National Laboratory TC Randles, AA Hagberg Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2023 | | 2023 |
Towards an open HPC ecosystem TC Randles Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2023 | | 2023 |
Realizing our vision of the future TC Randles Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2023 | | 2023 |
Production Linux Containers Update [Slides] TC Randles Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2022 | | 2022 |