OpenFold: Retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization G Ahdritz, N Bouatta, S Kadyan, Q Xia, W Gerecke, TJ O’Donnell, ... Biorxiv, 2022.11. 20.517210, 2022 | 99 | 2022 |
Openfold: Retraining alphafold2 yields new insights into its learning mechanisms and capacity for generalization. bioRxiv G Ahdritz, N Bouatta, S Kadyan, Q Xia, W Gerecke, TJ O’Donnell, ... Preprint, 2022 | 14 | 2022 |
OpenFold: retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization. bioRxiv 2022.11. 20.517210 G Ahdritz, N Bouatta, S Kadyan, Q Xia, W Gerecke, TJ O’Donnell, ... | 5 | 2022 |
Sdn-based optimization model of virtual machine live migration over layer 2 networks H Cui, B Zhang, Y Chen, T Yu, Z Xia, Y Liu Advances in Computer Communication and Computational Sciences: Proceedings …, 2019 | 4 | 2019 |
Assembling portable in-situ workflow from heterogeneous components using data reorganization B Zhang, P Subedi, PE Davis, F Rizzi, K Teranishi, M Parashar 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet …, 2022 | 1 | 2022 |
Toward resilient heterogeneous computing workflow through kokkos-dataspaces integration B Zhang, PE Davis, M Parshar, NM Morales, K Teranishi Sandia National Lab.(SNL-CA), Livermore, CA (United States); Rutgers Univ …, 2020 | 1 | 2020 |
Optimizing Data Movement for GPU-Based In-Situ Workflow Using GPUDirect RDMA B Zhang, PE Davis, N Morales, Z Zhang, K Teranishi, M Parashar European Conference on Parallel Processing, 323-338, 2023 | | 2023 |
Design and Performance of Kokkos Staging Space toward Scalable Resilient Application Couplings B Zhang, PE Davis, P Subedi, M Parashar, F Rizzi, NM Morales, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2021 | | 2021 |
Porting IDL programs into Python for GPU-Accelerated In-situ Analysis D Pulatov, B Zhang, S Suresh, C Miller | | 2021 |