Leonardo Solis-Vasquez
Orcid: 0000-0001-6896-9879Affiliations:
- Technical University of Darmstadt, Germany
According to our database1,
Leonardo Solis-Vasquez
authored at least 20 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2024
2023
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023
Proceedings of the 2023 International Workshop on OpenCL, 2023
2022
Near-Data Processing in Database Systems on Native Computational Storage under HTAP Workloads.
Proc. VLDB Endow., 2022
Benchmarking the performance of irregular computations in AutoDock-GPU molecular docking.
Parallel Comput., 2022
On the necessity of explicit cross-layer data formats in near-data processing systems.
Distributed Parallel Databases, 2022
Proceedings of the International Conference on Management of Data, 2022
2021
Supercomput. Front. Innov., 2021
Mapping Irregular Computations for Molecular Docking to the SX-Aurora TSUBASA Vector Engine.
Proceedings of the 11th IEEE/ACM Workshop on Irregular Applications: Architectures and Algorithms, 2021
A Framework for the Automatic Generation of FPGA-based Near-Data Processing Accelerators in Smart Storage Systems.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021
Proceedings of the 17th International Workshop on Data Management on New Hardware, 2021
2020
Proceedings of the 10th IEEE/ACM Workshop on Irregular Applications: Architectures and Algorithms, 2020
Using Parallel Programming Models for Automotive Workloads on Heterogeneous Systems - a Case Study.
Proceedings of the 28th Euromicro International Conference on Parallel, 2020
Proceedings of the 28th Euromicro International Conference on Parallel, 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
Accelerating Molecular Docking by Parallelized Heterogeneous Computing - A Case Study of Performance, Quality of Results, and Energy-Efficiency using CPUs, GPUs, and FPGAs.
PhD thesis, 2019
D3R Grand Challenge 4: prospective pose prediction of BACE1 ligands with AutoDock-GPU.
J. Comput. Aided Mol. Des., 2019
Comparison of affinity ranking using AutoDock-GPU and MM-GBSA scores for BACE-1 inhibitors in the D3R Grand Challenge 4.
J. Comput. Aided Mol. Des., 2019
DAPHNE - An automotive benchmark suite for parallel programming models on embedded heterogeneous platforms: work-in-progress.
Proceedings of the International Conference on Embedded Software Companion, 2019
2017
Proceedings of the 5th International Workshop on OpenCL, 2017