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Davide Gadioli
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2020 – today
- 2024
- [j12]Luigi Crisci
, Lorenzo Carpentieri
Enabling performance portability on the LiGen drug discovery pipeline. Future Gener. Comput. Syst. 158: 44-59 (2024) - [j11]Emanuele Vitali, Federico Ficarelli, Mauro Bisson, Davide Gadioli
GPU-optimized approaches to molecular docking-based virtual screening in drug discovery: A comparative analysis. J. Parallel Distributed Comput. 186: 104819 (2024) - [j10]Gianmarco Accordi
Out of kernel tuning and optimizations for portable large-scale docking experiments on GPUs. J. Supercomput. 80(8): 11798-11815 (2024) - [c24]Gianluca Palermo
LIGATE - LIgand Generator and portable drug discovery platform AT Exascale. CF (Companion) 2024 - [c23]Gianmarco Accordi
ZSMILES: An Approach for Efficient SMILES Storage for Random Access in Virtual Screening. IPDPS (Workshops) 2024: 554-560 - [c22]Gianmarco Accordi
Unlocking performance portability on LUMI-G supercomputer: A virtual screening case study. IWOCL 2024: 9:1-9:4 - [c21]Giovanni Bocchi, Patrizio Frosini, Alessandra Micheletti, Alessandro Pedretti, Gianluca Palermo, Davide Gadioli, Carmen Gratteri, Filippo Lunghini, Andrea Rosario Beccari, Anna Fava, Carmine Talarico:
A geometric XAI approach to protein pocket detection. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 217-224 - [i13]Gianmarco Accordi, Davide Gadioli, Giorgio Seguini, Andrea Rosario Beccari, Gianluca Palermo:
ZSMILES: an approach for efficient SMILES storage for random access in Virtual Screening. CoRR abs/2404.19391 (2024) - [i12]Bruno Guindani, Davide Gadioli, Roberto Rocco, Danilo Ardagna, Gianluca Palermo:
Efficient Parameter Tuning for a Structure-Based Virtual Screening HPC Application. CoRR abs/2410.14842 (2024) - 2023
- [j9]Davide Gadioli
EXSCALATE: An Extreme-Scale Virtual Screening Platform for Drug Discovery Targeting Polypharmacology to Fight SARS-CoV-2. IEEE Trans. Emerg. Top. Comput. 11(1): 170-181 (2023) - [c20]Gianluca Palermo
Tunable and Portable Extreme-Scale Drug Discovery Platform at Exascale: the LIGATE Approach. CF 2023: 272-278 - [c19]Lorenzo Carpentieri
Domain-Specific Energy Modeling for Drug Discovery and Magnetohydrodynamics Applications. SC Workshops 2023: 1789-1800 - [d1]Gianluca Palermo
SiteMap pockets for the PDBbind dataset. Zenodo, 2023 - [i11]Gianmarco Accordi, Emanuele Vitali, Davide Gadioli, Luigi Crisci
Improving computation efficiency using input and architecture features for a virtual screening application. CoRR abs/2303.06150 (2023) - [i10]Gianluca Palermo, Gianmarco Accordi, Davide Gadioli, Emanuele Vitali, Cristina Silvano, Bruno Guindani, Danilo Ardagna, Andrea Rosario Beccari, Domenico Bonanni, Carmine Talarico
Tunable and Portable Extreme-Scale Drug Discovery Platform at Exascale: the LIGATE Approach. CoRR abs/2304.09953 (2023) - 2022
- [j8]Roberto Rocco
Legio: fault resiliency for embarrassingly parallel MPI applications. J. Supercomput. 78(2): 2175-2195 (2022) - [j7]Pedro Pinto
Pegasus: Performance Engineering for Software Applications Targeting HPC Systems. IEEE Trans. Software Eng. 48(3): 732-754 (2022) - [c18]Davide Gadioli, Emanuele Vitali, Federico Ficarelli, Chiara Latini, Candida Manelfi, Carmine Talarico
An extreme-scale virtual screening platform for drug discovery. CF 2022: 211-212 - [c17]Luigi Crisci
Towards a Portable Drug Discovery Pipeline with SYCL 2020. IWOCL 2022: 5:1-5:2 - [i9]Emanuele Vitali, Federico Ficarelli, Mauro Bisson, Davide Gadioli, Massimiliano Fatica, Andrea Rosario Beccari, Gianluca Palermo:
GPU-optimized Approaches to Molecular Docking-based Virtual Screening in Drug Discovery: A Comparative Analysis. CoRR abs/2209.05069 (2022) - 2021
- [j6]Emanuele Vitali
An Efficient Monte Carlo-Based Probabilistic Time-Dependent Routing Calculation Targeting a Server-Side Car Navigation System. IEEE Trans. Emerg. Top. Comput. 9(2): 1006-1019 (2021) - [j5]Davide Gadioli, Gianluca Palermo, Stefano Cherubin
Tunable approximations to control time-to-solution in an HPC molecular docking Mini-App. J. Supercomput. 77(1): 841-869 (2021) - [c16]Emanuele Vitali, Davide Gadioli, Fabrizio Ferrandi
Parametric Throughput Oriented Large Integer Multipliers for High Level Synthesis. DATE 2021: 38-41 - [c15]Stefano Markidis, Davide Gadioli, Emanuele Vitali, Gianluca Palermo:
Understanding the I/O Impact on the Performance of High-Throughput Molecular Docking. PDSW@SC 2021: 9-14 - [i8]Roberto Rocco, Davide Gadioli, Gianluca Palermo:
Legio: Fault Resiliency for Embarrassingly Parallel MPI Applications. CoRR abs/2104.14246 (2021) - [i7]Davide Gadioli, Emanuele Vitali, Federico Ficarelli, Chiara Latini, Candida Manelfi, Carmine Talarico, Cristina Silvano, Carlo Cavazzoni, Gianluca Palermo, Andrea Rosario Beccari:
EXSCALATE: An extreme-scale in-silico virtual screening platform to evaluate 1 trillion compounds in 60 hours on 81 PFLOPS supercomputers. CoRR abs/2110.11644 (2021) - [i6]Natarajan Arul Murugan, Artur Podobas, Davide Gadioli, Emanuele Vitali, Gianluca Palermo, Stefano Markidis:
A Review on Parallel Virtual Screening Softwares for High Performance Computers. CoRR abs/2112.00116 (2021)
2010 – 2019
- 2019
- [b1]Davide Gadioli:
Dynamic application autotuning for self-aware approximate computing. Polytechnic University of Milan, Italy, 2019 - [j4]Cristina Silvano, Giovanni Agosta, Andrea Bartolini
The ANTAREX domain specific language for high performance computing. Microprocess. Microsystems 68: 58-73 (2019) - [j3]Davide Gadioli
mARGOt: A Dynamic Autotuning Framework for Self-Aware Approximate Computing. IEEE Trans. Computers 68(5): 713-728 (2019) - [j2]Emanuele Vitali
Exploiting OpenMP and OpenACC to accelerate a geometric approach to molecular docking in heterogeneous HPC nodes. J. Supercomput. 75(7): 3374-3396 (2019) - [c14]Emanuele Vitali, Davide Gadioli, Andrea Beccari, Carlo Cavazzoni, Cristina Silvano, Gianluca Palermo:
An hybrid approach to accelerate a molecular docking application for virtual screening in heterogeneous nodes: POSTER. CF 2019: 298-299 - [c13]Cristina Silvano, Giovanni Agosta, Andrea Bartolini
Supporting the Scale-Up of High Performance Application to Pre-Exascale Systems: The ANTAREX Approach. PDP 2019: 116-123 - [i5]Cristina Silvano, Giovanni Agosta, Andrea Bartolini, Andrea Rosario Beccari, Luca Benini, Loïc Besnard, João Bispo, Radim Cmar, João M. P. Cardoso
The ANTAREX Domain Specific Language for High Performance Computing. CoRR abs/1901.06175 (2019) - [i4]Emanuele Vitali, Davide Gadioli, Gianluca Palermo, Martin Golasowski, João Bispo, Pedro Pinto, Jan Martinovic, Katerina Slaninová, João M. P. Cardoso
An Efficient Monte Carlo-based Probabilistic Time-Dependent Routing Calculation Targeting a Server-Side Car Navigation System. CoRR abs/1901.06210 (2019) - [i3]Tomás Martinovic, Davide Gadioli, Gianluca Palermo, Cristina Silvano:
On-line Application Autotuning Exploiting Ensemble Models. CoRR abs/1901.06228 (2019) - [i2]Emanuele Vitali, Davide Gadioli, Gianluca Palermo, Andrea Beccari, Carlo Cavazzoni, Cristina Silvano:
Exploiting OpenMP & OpenACC to Accelerate a Molecular Docking Mini-App in Heterogeneous HPC Nodes. CoRR abs/1901.06229 (2019) - [i1]Davide Gadioli, Gianluca Palermo, Stefano Cherubin, Emanuele Vitali, Giovanni Agosta, Candida Manelfi, Andrea Rosario Beccari, Carlo Cavazzoni, Nico Sanna, Cristina Silvano:
Tunable Approximations to Control Time-to-Solution in an HPC Molecular Docking Mini-App. CoRR abs/1901.06363 (2019) - 2018
- [c12]Cristina Silvano, Gianluca Palermo, Giovanni Agosta, Amir H. Ashouri, Davide Gadioli, Stefano Cherubin
Autotuning and adaptivity in energy efficient HPC systems: the ANTAREX toolbox. CF 2018: 270-275 - [c11]Davide Gadioli, Ricardo Nobre
SOCRATES - A seamless online compiler and system runtime autotuning framework for energy-aware applications. DATE 2018: 1143-1146 - [c10]Cristina Silvano, Giovanni Agosta, Andrea Bartolini
ANTAREX: A DSL-Based Approach to Adaptively Optimizing and Enforcing Extra-Functional Properties in High Performance Computing. DSD 2018: 600-607 - [c9]Emanuele Vitali, Davide Gadioli, Gianluca Palermo, Andrea Beccari, Cristina Silvano:
Accelerating a Geometric Approach to Molecular Docking with OpenACC. PBio@EuroMPI 2018: 45-51 - [c8]Ahmet Erdem, Davide Gadioli, Gianluca Palermo, Cristina Silvano:
Design Space Pruning and Computational Workload Splitting for Autotuning OpenCL Applications. RAPIDO 2018: 4:1-4:6 - 2017
- [j1]Kim Grüttner, Ralph Görgen, Sören Schreiner, Fernando Herrera, Pablo Peñil
CONTREX: Design of embedded mixed-criticality CONTRol systems under consideration of EXtra-functional properties. Microprocess. Microsystems 51: 39-55 (2017) - [c7]Cristina Silvano, Giovanni Agosta, Jorge G. Barbosa
The ANTAREX tool flow for monitoring and autotuning energy efficient HPC systems. SAMOS 2017: 308-316 - 2016
- [c6]Cristina Silvano
The ANTAREX approach to autotuning and adaptivity for energy efficient HPC systems. Conf. Computing Frontiers 2016: 288-293 - [c5]Davide Gadioli, Gianluca Palermo, Cristina Silvano:
Application Adaptation at Runtime through Dynamic Knobs Autotuning. RES4ANT@DATE 2016: 43-47 - [c4]Ralph Görgen, Kim Grüttner, Fernando Herrera, Pablo Peñil
CONTREX: Design of Embedded Mixed-Criticality CONTRol Systems under Consideration of EXtra-Functional Properties. DSD 2016: 286-293 - 2015
- [c3]Davide Gadioli, Gianluca Palermo
Application autotuning to support runtime adaptivity in multicore architectures. SAMOS 2015: 173-180 - 2014
- [c2]Edoardo Paone, Davide Gadioli, Gianluca Palermo
Evaluating orthogonality between application auto-tuning and run-time resource management for adaptive OpenCL applications. ASAP 2014: 161-168 - [c1]Davide Gadioli, Simone Libutti, Giuseppe Massari
OpenCL Application Auto-tuning and Run-Time Resource Management for Multi-core Platforms. ISPA 2014: 127-133
Coauthor Index
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last updated on 2024-12-08 02:23 CET by the dblp team
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