Rethinking Programming Paradigms in the QC-HPC Context E Wong, S Caino-Lores, D Chaves Claudino, E Dumitrescu, T Humble, ... Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), 2024 | | 2024 |
Reproducing the Results for NICER Observation of PSR J0030+ 0451 C Afle, PR Miles, S Caino-Lores, CD Capano, I Tews, K Vahi, E Deelman, ... Computing in Science & Engineering, 2024 | | 2024 |
Rethinking Programming Paradigms in the QC-HPC Context S Caino-Lores, D Claudino, E Dumitrescu, TS Humble, SL Alarcon, ... Workshop on Asynchronous Many-Task Systems and Applications, 84-91, 2024 | | 2024 |
Novel Approaches Toward Scalable Composable Workflows in Hyper-Heterogeneous Computing Environments J Bader, J Belak, M Bement, M Berry, R Carson, D Cassol, S Chan, ... Proceedings of the SC'23 Workshops of The International Conference on High …, 2023 | | 2023 |
Online Boosted Gaussian Learners for In-Situ Detection and Characterization of Protein Folding States in Molecular Dynamics Simulations H Sahni, H Carrillo-Cabada, E Kots, S Caino-Lores, J Marquez, ... 2023 IEEE 19th International Conference on e-Science (e-Science), 1-10, 2023 | | 2023 |
Performance assessment of ensembles of in situ workflows under resource constraints TMA Do, L Pottier, R Ferreira da Silva, S Caíno‐Lores, M Taufer, ... Concurrency and Computation: Practice and Experience 35 (20), e7111, 2023 | 5 | 2023 |
Composable Workflow for Accelerating Neural Architecture Search Using In Situ Analytics for Protein Classification G Channing, R Patel, P Olaya, A Rorabaugh, O Miyashita, S Caino-Lores, ... Proceedings of the 52nd International Conference on Parallel Processing, 1-1, 2023 | 1 | 2023 |
Runtime steering of molecular dynamics simulations through in situ analysis and annotation of collective variables S Caino-Lores, M Cuendet, J Marquez, E Kots, T Estrada, E Deelman, ... Proceedings of the Platform for Advanced Scientific Computing Conference, 1-11, 2023 | 2 | 2023 |
Workflows community summit 2022: A roadmap revolution RF da Silva, RM Badia, V Bala, D Bard, PT Bremer, I Buckley, ... arXiv preprint arXiv:2304.00019, 2023 | 18 | 2023 |
Workflows Community Summit 2022: A Roadmap Revolution R Ferreira Da Silva, R Badia, V Bala, D Bard, PT Bremer, I Buckley, ... Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), 2023 | 2 | 2023 |
Co-scheduling ensembles of in situ workflows TMA Do, L Pottier, RF da Silva, F Suter, S Caíno-Lores, M Taufer, ... 2022 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS …, 2022 | 1 | 2022 |
Identifying Structural Properties of Proteins from X-ray Free Electron Laser Diffraction Patterns P Olaya, S Caíno-Lores, V Lama, R Patel, AK Rorabaugh, O Miyashita, ... 2022 IEEE 18th International Conference on e-Science (e-Science), 21-31, 2022 | 1 | 2022 |
Ubique: A New Model for Untangling Inter-task Data Dependence in Complex HPC Workflows JS Yeom, DH Ahn, I Lumsden, J Luettgau, S Caino-Lores, M Taufer 2022 IEEE 18th International Conference on e-Science (e-Science), 421-422, 2022 | 1 | 2022 |
Reproducing and Extending Analytical Performance Models of Generalized Hierarchical Scheduling J Luettgau, S Caino-Lores, K Suarez, DH Ahn, S Herbein, M Taufer 2022 IEEE 18th International Conference on e-Science (e-Science), 450-455, 2022 | | 2022 |
A Methodology to Generate Efficient Neural Networks for Classification of Scientific Datasets R Patel, AK Rorabaugh, P Olaya, S Caino-Lores, G Channing, ... 2022 IEEE 18th International Conference on e-Science (e-Science), 389-390, 2022 | 2 | 2022 |
Reproducibility of the first image of a black hole in the Galaxy M87 from the Event Horizon Telescope Collaboration R Patel, B Roachell, S Caino-Lores, R Ketron, J Leonard, N Tan, K Vahi, ... Computing in Science & Engineering 24 (5), 42-52, 2022 | 8 | 2022 |
An analytical performance model of generalized hierarchical scheduling S Herbein, T Patki, DH Ahn, S Mobo, C Hathaway, S Caíno-Lores, ... The International Journal of High Performance Computing Applications 36 (3 …, 2022 | 2 | 2022 |
High frequency accuracy and loss data of random neural networks trained on image datasets AK Rorabaugh, S Caíno-Lores, T Johnston, M Taufer Data in Brief 40, 107780, 2022 | 5 | 2022 |
Building high-throughput neural architecture search workflows via a decoupled fitness prediction engine AK Rorabaugh, S Caino-Lores, T Johnston, M Taufer IEEE Transactions on Parallel and Distributed Systems 33 (11), 2913-2926, 2022 | 6 | 2022 |
A case study in scientific reproducibility from the Event Horizon Telescope (EHT) R Ketron, J Leonard, B Roachell, R Patel, R White, S Caíno-Lores, N Tan, ... 2021 IEEE 17th International Conference on eScience (eScience), 249-250, 2021 | 3 | 2021 |