| A massively parallel infrastructure for adaptive multiscale simulations: modeling RAS initiation pathway for cancer F Di Natale, H Bhatia, TS Carpenter, C Neale, S Kokkila-Schumacher, ... Proceedings of the International Conference for High Performance Computing …, 2019 | 65 | 2019 |
| Machine learning–driven multiscale modeling reveals lipid-dependent dynamics of RAS signaling proteins HI Ingólfsson, C Neale, TS Carpenter, R Shrestha, CA López, TH Tran, ... Proceedings of the National Academy of Sciences 119 (1), e2113297119, 2022 | 61 | 2022 |
| ddcMD: A fully GPU-accelerated molecular dynamics program for the Martini force field X Zhang, S Sundram, T Oppelstrup, SIL Kokkila-Schumacher, ... The Journal of Chemical Physics 153 (4), 2020 | 24 | 2020 |
| Machine learning algorithms for automated NIF capsule mandrel selection KJ Boehm, Y Ayzman, R Blake, A Garcia, K Sequoia, S Sundram, ... Fusion Science and Technology 76 (6), 749-757, 2020 | 6 | 2020 |
| Super-resolution to improve classification accuracy of low-resolution images L Jaffe, S Sundram, C Martinez-Nieves Tech. Rep., Tech. Rep. 19, Stanford University, 2017 | 6 | 2017 |
| Revet: A language and compiler for dataflow threads AC Rucker, S Sundram, C Smith, M Vilim, R Prabhakar, F Kjølstad, ... 2024 IEEE International Symposium on High-Performance Computer Architecture …, 2024 | 3 | 2024 |
| Preparation and optimization of a diverse workload for a large-scale heterogeneous system I Karlin, Y Park, BR De Supinski, P Wang, B Still, D Beckingsale, R Blake, ... Proceedings of the International Conference for High Performance Computing …, 2019 | 3 | 2019 |
| Task Fusion in Distributed Runtimes S Sundram, W Lee, A Aiken 2022 IEEE/ACM 5th Annual Parallel Applications Workshop: Alternatives To …, 2022 | 1 | 2022 |
| Compiling Recurrences over Dense and Sparse Arrays S Sundram, MU Tariq, F Kjolstad Proceedings of the ACM on Programming Languages 8 (OOPSLA1), 250-275, 2024 | | 2024 |
| ddcMD. os JN Glosli, FH Streitz, T Oppelstrup, S Sandoval, S Sundram, X Zhang Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States), 2020 | | 2020 |
| Identification of KRAS membrane bound states using an integrated computational and experimental approach AG Stephen, A Agarwal, AE Garcia, GS Gnanakaran, J Hettige, C Neale, ... Cancer Research 79 (13_Supplement), 3373-3373, 2019 | | 2019 |
| Simulation Utility Library for HPC codes JL Fattebert, FH Streitz, S Sundram, MP Surh, T Oppelstrup, JN Glosli, ... Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States), 2018 | | 2018 |
James N. GlosliResearch Physics Lawrence Livermore National Laboratory Verified email at llnl.gov
