EXSCALATE: An extreme-scale in-silico virtual screening platform to evaluate 1 trillion compounds in 60 hours on 81 PFLOPS supercomputers

التفاصيل البيبلوغرافية
العنوان: EXSCALATE: An extreme-scale in-silico virtual screening platform to evaluate 1 trillion compounds in 60 hours on 81 PFLOPS supercomputers
المؤلفون: Gadioli, Davide, Vitali, Emanuele, Ficarelli, Federico, Latini, Chiara, Manelfi, Candida, Talarico, Carmine, Silvano, Cristina, Cavazzoni, Carlo, Palermo, Gianluca, Beccari, Andrea Rosario
سنة النشر: 2021
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Computational Engineering, Finance, and Science
الوصف: The social and economic impact of the COVID-19 pandemic demands the reduction of the time required to find a therapeutic cure. In the contest of urgent computing, we re-designed the Exscalate molecular docking platform to benefit from heterogeneous computation nodes and to avoid scaling issues. We deployed the Exscalate platform on two top European supercomputers (CINECA-Marconi100 and ENI-HPC5), with a combined computational power of 81 PFLOPS, to evaluate the interaction between 70 billions of small molecules and 15 binding-sites of 12 viral proteins of Sars-Cov2. The experiment lasted 60 hours and overall it performed a trillion of evaluations.
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2110.11644
رقم الأكسشن: edsarx.2110.11644
قاعدة البيانات: arXiv