Leonardo Solis-Vasquez

发表

Evaluating the Energy Efficiency of OpenCL-accelerated AutoDock Molecular Docking

Leonardo Solis-Vasquez, Diogo Santos-Martins, Andreas Koch, 2020, 2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP).

A Performance and Energy Evaluation of OpenCL-accelerated Molecular Docking

Andreas Koch, Leonardo Solis-Vasquez, 2017, IWOCL.

Accelerating Molecular Docking by Parallelized Heterogeneous Computing - A Case Study of Performance, Quality of Results, and Energy-Efficiency using CPUs, GPUs, and FPGAs

Leonardo Solis-Vasquez, 2019 .

DAPHNE - An automotive benchmark suite for parallel programming models on embedded heterogeneous platforms: work-in-progress

Leonardo Solis-Vasquez, Andreas Koch, Lukas Sommer, 2019, EMSOFT Companion.

GPU-Accelerated Drug Discovery with Docking on the Summit Supercomputer: Porting, Optimization, and Application to COVID-19 Research

Duncan Poole, Leonardo Solis-Vasquez, Diogo Santos-Martins, 2020, BCB.

Using Parallel Programming Models for Automotive Workloads on Heterogeneous Systems - a Case Study

Leonardo Solis-Vasquez, Andreas Koch, Lukas Sommer, 2020, 2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP).

Work-in-Progress: DAPHNE - An Automotive Benchmark Suite for Parallel Programming Models on Embedded Heterogeneous Platforms

Leonardo Solis-Vasquez, Andreas Koch, Lukas Sommer, 2019, 2019 International Conference on Embedded Software (EMSOFT).

Comparison of affinity ranking using AutoDock-GPU and MM-GBSA scores for BACE-1 inhibitors in the D3R Grand Challenge 4

Andreas Koch, David L Mobley, Leonardo Solis-Vasquez, 2019, Journal of Computer-Aided Molecular Design.

D3R Grand Challenge 4: prospective pose prediction of BACE1 ligands with AutoDock-GPU

Andreas Koch, Leonardo Solis-Vasquez, Diogo Santos-Martins, 2019, Journal of Computer-Aided Molecular Design.

A cost model for NDP-aware query optimization for KV-stores

Tobias Vinçon, Leonardo Solis-Vasquez, Lukas Weber, 2021, DaMoN.

A Framework for the Automatic Generation of FPGA-based Near-Data Processing Accelerators in Smart Storage Systems

Tobias Vinçon, Leonardo Solis-Vasquez, Lukas Weber, 2021, 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

On the necessity of explicit cross-layer data formats in near-data processing systems

Andreas Koch, Tobias Vinçon, Leonardo Solis-Vasquez, 2021 .

Automatic classification of pediatric pneumonia based on lung ultrasound pattern recognition

Mirko Zimic, Leonardo Solis-Vasquez, Robert H Gilman, 2018, PloS one.

Accelerating AutoDock4 with GPUs and Gradient-Based Local Search.

Leonardo Solis-Vasquez, Diogo Santos-Martins, Stefano Forli, 2021, Journal of chemical theory and computation.