LIgand Generator and portable drug discovery platform AT Exascale

Informazioni relative al progetto

LIGATE

ID dell’accordo di sovvenzione: 956137

DOI

10.3030/956137

Progetto chiuso

Data della firma CE 16 Dicembre 2020

Data di avvio 1 Gennaio 2021

Data di completamento 30 Aprile 2024

Finanziato da

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Costo totale

€ 5 938 656,25

Contributo UE

€ 2 612 060,85

Coordinato da

DOMPE FARMACEUTICI SPA
Italy

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (6)

Dissemination and Communication Report

Final version of D6.2.

Lessons Learnt from the LIGATE Project

Lessons learnt from the LIGATE Project.

Initial Dissemination and Communication Plan

To define the strategy to disseminate and communicate the project results. The activity, led by CHELONIA in tight collaboration with DOMPE, will analyze the strategies and will implement the actions to optimize the dissemination and communication of the project results, beyond the project partners and time-frame.

Validated Platform on Known Dataset

This task is devoted to functionally validate the outcome of the CADD platform enhancement. This task includes the preparation of a dataset composed by known compounds derived from literature and publicly available databases. This dataset will be used as a test-case for the platform for the continuous validation and performance assessment of the platform. The task defines the baseline for the CADD platform validation process and assesses the improvement reached in terms of the selected metrics. A specific action will be carried out to: ● Definition of benchmark datasets for validation of ligand poses and binding affinity calculations; quality control of structures datasets (DOMPE, UNIBAS); ● Evaluation of the baseline of the CADD platform; ● Evaluation and definition of the novel baseline of the intermediate and final tool version (Alpha, Beta, Candidate, Release).

Solution Validation Result

Final validation of the different solution components and of the solution as a whole.

Initial Validation Result

Initial validation of the different solution components and of the solution as a whole

Other (3)

Final runtime and autotuning framework

The final runtime and autotuning report describes the state of the programming model and runtime system after the completion of the autotuning, heterogeneity and energy optimization tasks. It will summarize the framework features, the advancements made in the optimization tasks, and evaluate its performance.

Setup and Maintenance of LIGATE Website & Social Media

Coordination of dissemination (LIGATE webpage, workshops, conferences, articles, and book) and communication (use of social networks such as LinkedIN, Facebook, Twitter and YouTube) activities.

Intermediate runtime and autotuning framework

This intermediate report describes the progress made on runtime system optimization, including autotuning, scheduling and data distribution improvements, as well as energy optimization.

Pubblicazioni

Conference proceedings (19)

SYnergy: Fine-grained Energy-Efficient Heterogeneous Computing for Scalable Energy Saving

Autori: Kaijie Fan, Marco D'Antonio, Lorenzo Carpentieri, Biagio Cosenza, Federico Ficarelli, and Daniele Cesarini
Pubblicato in: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC '23), Numero 69, 2023, Pagina/e 1–13
Editore: Association for Computing Machinery
DOI: 10.1145/3581784.3607055

Tunable and Portable Extreme-Scale Drug Discovery Platform at Exascale: the LIGATE Approach

Autori: Gianluca Palermo, Gianmarco Accordi, Davide Gadioli, Emanuele Vitali, Cristina Silvano, Bruno Guindani, Danilo Ardagna, Andrea R. Beccari, Domenico Bonanni, Carmine Talarico, Filippo Lunghini, Jan Martinovic, Paulo Silva, Ada Bohm, Jakub Beranek, Jan Krenek, Branislav Jansik, Luigi Crisci, Biagio, Cosenza, Peter Thoman, Philip Salzmann, Thomas Fahringer, Leila Alexander, Gerardo Tauriello, Torsten
Pubblicato in: Proceedings of the 20th ACM International Conference on Computing Frontiers (CF '23), 2023, Pagina/e 272–278
Editore: Association for Computing Machinery
DOI: 10.1145/3587135.3592172

On the Compilation Performance of Current SYCL Implementations

Autori: Peter Thoman, Facundo Molina Heredia, Thomas Fahringer
Pubblicato in: IWOCL 22: International Workshop on OpenCL, 2022
Editore: ACM
DOI: 10.1145/3529538.3529548

HEAppE Middleware: From Desktop to HPC

Autori: Jakub Konvička, Václav Svatoň, Jan Křenek
Pubblicato in: Proceedings of Euro-Par 2023: Parallel Processing Workshops. Lecture Notes in Computer Science, Numero 14352, 2024, Pagina/e 252–255, ISBN 978-3-031-48802-3
Editore: Springer
DOI: 10.1007/978-3-031-48803-0_27

SYCL-Bench 2020: Benchmarking SYCL 2020 on AMD, Intel, and NVIDIA GPUs

Autori: Luigi Crisci, Lorenzo Carpentieri, Peter Thoman, Aksel Alpay, Vincent Heuveline, Biagio Cosenza
Pubblicato in: Proceedings of the 12th International Workshop on OpenCL and SYCL (IWOCL '24), Numero 1, 2024, Pagina/e 1–12
Editore: Association for Computing Machinery
DOI: 10.1145/3648115.3648120

MALIBOO: When Machine Learning meets Bayesian Optimization

Autori: Bruno Guindani, Danilo Ardagna, Alessandra Guglielmi
Pubblicato in: Proceedings of IEEE 7th International Conference on Smart Cloud (SmartCloud), 2022, Pagina/e 1-9, ISBN 978-1-6654-5180-2
Editore: IEEE
DOI: 10.1109/smartcloud55982.2022.00008

An Analysis of Long-Tailed Network Latency Distribution and Background Traffic on Dragonfly+

Autori: Majid Salimi Beni, Biagio Cosenza
Pubblicato in: Proceedings of Benchmarking, Measuring, and Optimizing: 14th BenchCouncil International Symposium, Bench 2022, 2023, Pagina/e 123–142
Editore: Springer-Verlag
DOI: 10.1007/978-3-031-31180-2_8

FLEXDP: flexible frequency scaling for energy-delay product optimization of GPU applications

Autori: Kaijie Fan, Biagio Cosenza, Ben H. H. Juurlink
Pubblicato in: Proceedings of the 19th ACM International Conference on Computing Frontiers, 2022
Editore: ACM
DOI: 10.1145/3528416.3530241

Towards a Portable Drug Discovery Pipeline with SYCL 2020

Autori: Luigi Crisci, Majid Salimi Beni, Biagio Cosenza, Nicolò Scipione, Davide Gadioli, Emanuele Vitali,Gianluca Palermo, Andrea Rosario Beccari
Pubblicato in: IWOCL 22: International Workshop on OpenCL, 2021
Editore: ACM
DOI: 10.1145/3529538.3529688

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

Autori: Peter Thoman, Fabian Knorr, Luigi Crisci
Pubblicato in: Proceedings of the 12th International Workshop on OpenCL and SYCL (IWOCL '24), Numero 3, 2024, Pagina/e 1–12
Editore: Association for Computing Machinery
DOI: 10.1145/3648115.3648136

Domain-Specific Energy Modeling for Drug Discovery and Magnetohydrodynamics Applications

Autori: Lorenzo Carpentieri, Marco D'Antonio, Kaijie Fan, Luigi Crisci, Biagio Cosenza, Federico Ficarelli, Daniele Cesarini, Gianmarco Accordi, Davide Gadioli, Gianluca Palermo, Peter Thoman, Philip Salzmann, Philipp Gschwandtner, Markus Wippler, Filippo Marchetti, Daniele Gregori, Andrea Rosario Beccari
Pubblicato in: Proceedings of SC-W '23 - International Workshop on the Environmental Sustainability of High-Performance Software, 2023, Pagina/e 1790–1800
Editore: ACM
DOI: 10.1145/3624062.3624261

ZSMILES: An Approach for Efficient SMILES Storage for Random Access in Virtual Screening

Autori: Gianmarco Accordi, Davide Gadioli, Giorgio Seguini, Andrea R. Beccari, Gianluca Palermo
Pubblicato in: 2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2024, Pagina/e 554-560
Editore: IEEE
DOI: 10.1109/ipdpsw63119.2024.00112

An Asynchronous Dataflow-Driven Execution Model For Distributed Accelerator Computing

Autori: Philip Salzmann, Fabian Knorr, Peter Thoman, Philipp Gschwandtner, Biagio Cosenza, Thomas Fahringer
Pubblicato in: Proceedings of 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2023, Pagina/e 82-93, ISBN 979-8-3503-0120-5
Editore: IEEE
DOI: 10.1109/ccgrid57682.2023.00018

ndzip-gpu: efficient lossless compression of scientific floating-point data on GPUs

Autori: Fabian Knorr, Peter Thoman, Thomas Fahringer
Pubblicato in: SC '21: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2021
Editore: ACM
DOI: 10.1145/3458817.3476224

EMPI: Enhanced Message Passing Interface in Modern C++

Autori: Majid Salimi Beni, Luigi Crisci, Biagio Cosenza
Pubblicato in: Proceedings of 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2023, Pagina/e 141-153
Editore: IEEE
DOI: 10.1109/ccgrid57682.2023.00023

Unlocking performance portability on LUMI-G supercomputer: A virtual screening case study

Autori: Gianmarco Accordi, Davide Gadioli, Gianluca Palermo, Luigi Crisci, Lorenzo Carpentieri, Biagio Cosenza, Andrea R. Beccari
Pubblicato in: Proceedings of the 12th International Workshop on OpenCL and SYCL (IWOCL '24), Numero 9, 2024, Pagina/e 1–4
Editore: Association for Computing Machinery
DOI: 10.1145/3648115.3648125

Understanding the I/O Impact on the Performance of High-Throughput Molecular Docking

Autori: Stefano Markidis, Davide Gadioli, Emanuele Vitali, Gianluca Palermo
Pubblicato in: PDSW 2021 (SC21 Workshop) 6TH INTERNATIONAL PARALLEL DATA SYSTEMS WORKSHOP (HELD IN CONJUNCTION WITH SC21: THE INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS), 2021
Editore: IEEE Xplore
DOI: 10.1109/pdsw54622.2021.00007

Command Horizons: Coalescing Data Dependencies while Maintaining Asynchronicity

Autori: Peter Thoman, Philipp Salzmann
Pubblicato in: Asynchronous Many-Task Systems and Applications. WAMTA 2023. Lecture Notes in Computer Science, Numero 13861, 2023, Pagina/e 13–26, ISBN 978-3-031-32315-7
Editore: Springer
DOI: 10.1007/978-3-031-32316-4_2

Celerity: How (Well) Does the SYCL API Translate to Distributed Clusters?

Autori: Philip Salzmann, Fabian Knorr, Peter Thoman, Biagio Cosenza
Pubblicato in: IWOCL 22: International Workshop on OpenCL, 2022
Editore: ACM
DOI: 10.1145/3529538.3530004

Peer reviewed articles (12)

Automatic Discovery of Collective Communication Patterns in Parallelized Task Graphs

Autori: Fabian Knorr, Philip Salzmann, Peter Thoman, Thomas Fahringer
Pubblicato in: International Journal of Parallel Programming, 2024, ISSN 0885-7458
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10766-024-00767-y

Declarative Data Flow in a Graph-Based Distributed Memory Runtime System

Autori: Knorr Fabian, Thoman Peter, Fahringer Thomas
Pubblicato in: International Journal of Parallel Programming, Numero 51, 2023, Pagina/e 150–171, ISSN 0885-7458
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10766-022-00743-4

Balancing Tracking Granularity and Parallelism in Many-Task Systems: The Horizons Approach

Autori: Peter Thoman, Philip Salzmann
Pubblicato in: SN Computer Science, Numero 5, 2024, Pagina/e 409, ISSN 2661-8907
Editore: Springer Nature
DOI: 10.1007/s42979-024-02749-w

A Review on Parallel Virtual Screening Softwares for High-Performance Computers

Autori: Natarajan Arul Murugan, Artur Podobas, Davide Gadioli, Emanuele Vitali, Gianluca Palermo, Stefano Markidis
Pubblicato in: Pharmaceuticals, Numero 15(1):63, 2022, ISSN 1424-8247
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/ph15010063

Integrating Bayesian Optimization and Machine Learning for the Optimal Configuration of Cloud Systems

Autori: Bruno Guindani, Danilo Ardagna, Alessandra Guglielmi, Roberto Rocco, Gianluca Palermo
Pubblicato in: IEEE Transactions on Cloud Computing, Numero 12(1), 2024, Pagina/e 277-294, ISSN 2168-7161
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/tcc.2024.3361070

Addressing docking pose selection with structure-based deep learning: Recent advances, challenges and opportunities

Autori: Serena Vittorio, Filippo Lunghini, Pietro Morerio, Davide Gadioli, Sergio Orlandini, Paulo Silva, null Jan Martinovic, Alessandro Pedretti, Domenico Bonanni, Alessio Del Bue, Gianluca Palermo, Giulio Vistoli, Andrea R. Beccari
Pubblicato in: Computational and Structural Biotechnology Journal, Numero 23, 2024, Pagina/e 2141-2151, ISSN 2001-0370
Editore: Elsevier
DOI: 10.1016/j.csbj.2024.05.024

HyperQueue: Efficient and ergonomic task graphs on HPC clusters

Autori: Jakub Beránek, Ada Böhm, Gianluca Palermo, Jan Martinovič, Branislav Jansík
Pubblicato in: SoftwareX, Numero 27, 2024, Pagina/e 101814, ISSN 2352-7110
Editore: Elsevier BV
DOI: 10.1016/j.softx.2024.101814

Out of kernel tuning and optimizations for portable large-scale docking experiments on GPUs

Autori: Gianmarco Accordi, Davide Gadioli, Emanele Vitali, Luigi Crisci, Biagio Cosenza, Andrea Beccari, Gianluca Palermo
Pubblicato in: Journal of Supercomputing, Numero 80, 2024, Pagina/e 11798–11815, ISSN 0920-8542
Editore: Kluwer Academic Publishers
DOI: 10.1007/s11227-023-05884-y

A Portable Drug Discovery Platform for Urgent Computing

Autori: Davide Gadioli, Gianmarco Accordi, Jan Krenek, Martin Golasowski, Ladislav Foltyn, Jan Martinovic, Andrea R. Beccari, Gianluca Palermo
Pubblicato in: Procedia Computer Science, Numero 240, 2024, Pagina/e 42-51, ISSN 1877-0509
Editore: Elsevier
DOI: 10.1016/j.procs.2024.07.007

Automated benchmarking of combined protein structure and ligand conformation prediction

Autori: Michèle Leemann, Ander Sagasta, Jerome Eberhardt, Torsten Schwede, Xavier Robin, Janani Durairaj
Pubblicato in: Proteins, Numero 91(12), 2023, Pagina/e 1912-1924, ISSN 0887-3585
Editore: Wiley-Liss Inc
DOI: 10.1002/prot.26605

Enabling performance portability on the LiGen drug discovery pipeline

Autori: Luigi Crisci, Lorenzo Carpentieri, Biagio Cosenza, Gianmarco Accordi, Davide Gadioli, Emanuele Vitali, Gianluca Palermo, Andrea Rosario Beccari
Pubblicato in: Future Generation Computer Systems, Numero 158, 2024, Pagina/e 44-59, ISSN 0167-739X
Editore: Elsevier BV
DOI: 10.1016/j.future.2024.03.045

GPU-optimized Approaches to Molecular Docking-based Virtual Screening in Drug Discovery: A Comparative Analysis

Autori: Emanuele Vitali, Federico Ficarelli, Mauro Bisson, Davide Gadioli, Massimiliano Fatica, Andrea R. Beccari, Gianluca Palermo
Pubblicato in: Journal of Parallel and Distributed Computing, Numero 186, 2024, ISSN 0743-7315
Editore: Academic Press
DOI: 10.1016/j.jpdc.2023.104819

Other (3)

Poster: HyperQueue: Overcoming Limitations of HPC Job Managers

Autori: Stanislav Böhm, Jakub Beránek, Vojtěch Cima, Roman Macháček, Vyomkesh Jha, Alfréd Kočí, Branislav Jansík, Jan Martinovič
Pubblicato in: SC 21, The International Conference for High Performance Computing, Networking, Storage, and Analysis, 2021
Editore: SC 21, The International Conference for High Performance Computing, Networking, Storage, and Analysis
DOI: 10.5281/zenodo.7298549

Poster: HEAppE Middleware: From Desktop to HPC

Autori: Jakub Konvička, Václav Svatoň, Jan Křenek
Pubblicato in: Euro-Par 2023: Parallel Processing Workshops, 2024
Editore: Springer
DOI: 10.5281/zenodo.11080405

Poster: An extreme-scale virtual screening platform for drug discovery

Autori: Davide Gadioli, Emanuele Vitali, Federico Ficarelli, Chiara Latini, Candida Manelfi, Carmine Talarico, Cristina Silvano, Andrea Beccari, Gianluca Palermo
Pubblicato in: ACM International Conference on Computing Frontiers, 2022
Editore: ACM
DOI: 10.1145/3528416.3530872