BioExcel-2
Centre of Excellence for Computational Biomolecular Research
 (BioExcel-2)


Main funder

Funder's project number823830


Funds granted by main funder (€)

  • 313 155,54


Funding program


Project timetable

Project start date01/01/2019

Project end date30/06/2022


Summary

Life Sciences have become increasingly digital, and this is accelerating rapidly. Biomolecular computational techniques play a key role in processing, analysis and generating new knowledge from experimental data, even in replacing experiments. This has been made possible due to tremendous advances in techniques such as homology modelling, docking, and molecular simulations at both atomistic and quantum levels to which world-leading European research and software are contributing. Pushing computational capabilities towards Exascale, will advance the area by enabling researchers to tackle increasingly complex questions related to biomolecules' function, reaction mechanisms, dynamics and interactions. This will have paramount influence on our daily life, in health, for the development of new drugs and methods for efficient drug delivery, in biotechnology, environment, agriculture, the food industry, and education.
To exploit this great computational power, both in academia and industry, significant efforts on software efficiency, scaling, usability, and education are needed. This is the mission of the BioExcel Centre of Excellence for Computational Biomolecular Research that launched in 2015 with the support of the EC. It has already made significant contributions by focusing on the highest-impact European codes, usable workflows, and an extensive, international education program.
This proposal aims to continue and expand this work, with a focus on Exascale impact, improved usability, expanded training and commercial applications, while strengthening user-driven governance. Specifically, BioExcel-2 will:
" Push the performance, efficiency, scalability, and usability of the selected software packages towards the Exascale in a co-design manner, contributing to the EuroHPC vision;
" Support convergence of HPC, HTC, and HPDA with workflows combining HPC simulations with data management and analytics;
" Support and enlarge the user community by providing support, workforce development, continued training, guidance, and best practices;
" Develop a sustainable and open community centre with user-driven governance and clear KPIs to measure progress


Principal Investigator


Primary responsible unit


Follow-up groups

Profiling areaNanoscience Center (Department of Physics PHYS, JYFL) (Faculty of Mathematics and Science) (Department of Chemistry CHEM) (Department of Biological and Environmental Science BIOENV) NSC


Related publications and other outputs


Last updated on 2024-17-04 at 12:57