Ada Sedova
Orcid: 0000-0002-8233-3057
According to our database1,
Ada Sedova
authored at least 23 papers
between 2018 and 2025.
Collaborative distances:
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Bibliography
2025
Robustness of Deep Learning Classification to Adversarial Input on GPUs: Asynchronous Parallel Accumulation Is a Source of Vulnerability.
Proceedings of the Euro-Par 2025: Parallel Processing, 2025
2024
Impacts of floating-point non-associativity on reproducibility for HPC and deep learning applications.
Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024
2023
Predicted structural proteome of <i>Sphagnum divinum</i> and proteome-scale annotation.
Bioinform., August, 2023
tinyIFD: A High-Throughput Binding Pose Refinement Workflow Through Induced-Fit Ligand Docking.
J. Chem. Inf. Model., June, 2023
DIPS-Plus: The Enhanced Database of Interacting Protein Structures for Interface Prediction (Supplementary Data).
Dataset, June, 2023
DIPS-Plus: The Enhanced Database of Interacting Protein Structures for Interface Prediction (Supplementary Data).
Dataset, June, 2023
Multiobjective Hyperparameter Optimization for Deep Learning Interatomic Potential Training Using NSGA-II.
Proceedings of the 52nd International Conference on Parallel Processing Workshops, 2023
2022
OpenMDlr: parallel, open-source tools for general protein structure modeling and refinement from pairwise distances.
Bioinform., 2022
Proteome-scale Deployment of Protein Structure Prediction Workflows on the Summit Supercomputer.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022
Portability for GPU-accelerated molecular docking applications for cloud and HPC: can portable compiler directives provide performance across all platforms?
Proceedings of the 22nd IEEE International Symposium on Cluster, 2022
2021
DIPS-Plus: The Enhanced Database of Interacting Protein Structures for Interface Prediction.
Dataset, June, 2021
Int. J. High Perform. Comput. Appl., 2021
Comput. Sci. Eng., 2021
DIPS-Plus: The Enhanced Database of Interacting Protein Structures for Interface Prediction.
CoRR, 2021
High-Performance Deep Learning Toolbox for Genome-Scale Prediction of Protein Structure and Function.
Proceedings of the IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2021
Addressing Load Imbalance in Bioinformatics and Biomedical Applications: Efficient Scheduling across Multiple GPUs.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Modeling protein structures from predicted contacts with modern molecular dynamics potentials: accuracy, sensitivity, and refinement.
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021
2020
Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19.
J. Chem. Inf. Model., 2020
Performance Portability of Molecular Docking Miniapp On Leadership Computing Platforms.
Proceedings of the IEEE/ACM International Workshop on Performance, 2020
GPU-Accelerated Drug Discovery with Docking on the Summit Supercomputer: Porting, Optimization, and Application to COVID-19 Research.
Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020
2019
Proceedings of the High Performance Computing, 2019
Highly Interactive, Steered Scientific Workflows on HPC Systems: Optimizing Design Solutions.
Proceedings of the High Performance Computing, 2019
2018
Using Compiler Directives for Performance Portability in Scientific Computing: Kernels from Molecular Simulation.
Proceedings of the Accelerator Programming Using Directives - 5th International Workshop, 2018