Initial Validation Result: Portability Analysis and Continuous Validation of the Methodology
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F22%3A10251192" target="_blank" >RIV/61989100:27740/22:10251192 - isvavai.cz</a>
Výsledek na webu
<a href="https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5eea635f8&appId=PPGMS" target="_blank" >https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5eea635f8&appId=PPGMS</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Initial Validation Result: Portability Analysis and Continuous Validation of the Methodology
Popis výsledku v původním jazyce
This document describes top-level components of LIGATE and its deployment across clusters available in the project. We start a description of the pipeline components which include the docking software LiGen, GROMACS for calculating ligand-protein binding free energies with molecular dynamics, modules based on machine learning for binding affinity prediction and HyperQueue for running the tasks on an HPC cluster. We then describe the validation strategies used for these components. An important aspect of LIGATE is software portability over heterogenous architectures, so we devote the next section to a portability analysis for LiGen using a range of architectures with different programming models such as CUDA and SYCL. Finally, we demonstrate for the first time in the project, the validation of the full (but draft) pipeline as required by milestone MS2. This draft execution of the pipeline was run on conventional resources on the Karolina supercomputer at IT4I, but it is expected to repeat the experiments on the CINECA M100 system within the next few weeks.
Název v anglickém jazyce
Initial Validation Result: Portability Analysis and Continuous Validation of the Methodology
Popis výsledku anglicky
This document describes top-level components of LIGATE and its deployment across clusters available in the project. We start a description of the pipeline components which include the docking software LiGen, GROMACS for calculating ligand-protein binding free energies with molecular dynamics, modules based on machine learning for binding affinity prediction and HyperQueue for running the tasks on an HPC cluster. We then describe the validation strategies used for these components. An important aspect of LIGATE is software portability over heterogenous architectures, so we devote the next section to a portability analysis for LiGen using a range of architectures with different programming models such as CUDA and SYCL. Finally, we demonstrate for the first time in the project, the validation of the full (but draft) pipeline as required by milestone MS2. This draft execution of the pipeline was run on conventional resources on the Karolina supercomputer at IT4I, but it is expected to repeat the experiments on the CINECA M100 system within the next few weeks.
Klasifikace
Druh
V<sub>utaj</sub> - Výzkumná zpráva obsahující utajované informace
CEP obor
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OECD FORD obor
10200 - Computer and information sciences
Návaznosti výsledku
Projekt
<a href="/cs/project/MC2102" target="_blank" >MC2102: Ligand Generator and portable drug discovery platform AT Exascale (Ligate)</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Počet stran výsledku
18
Místo vydání
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Název nakladatele resp. objednatele
EuroHPC
Verze
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