Sharing the Road to Аdventure
Research Fellow Grossi Joas Santiago shares his thoughts on work experience with other colleagues:
Scientists Model Turbulence at Atomic Level
Scientists at HSE University and MIPT have developed a supercomputer-based method to model fluid flows at atomistic scales making it possible to describe the emergence of turbulence. The researchers used the supercomputers cHARISMa and Desmos to compute the flow of a fluid consisting of several hundred million atoms. This method is already being used to simulate the flow of liquid-metal lead coolant in a nuclear reactor. The paper has been published in The International Journal of High Performance Computing Applications.
Junior Research Fellow SAMMA Mikhail Khalilov gave a talk at Supercomputing 2021
On Sunday, 14 November 2021, Junior Research Fellow SAMMA Mikhail Khalilov gave a talk with “Leveraging Interconnect QoS Capabilities for Congestion-Aware MPI Communication” (Authors: Mikhail Khalilov (Huawei Technologies Ltd; National Research University Higher School of Economics, Moscow, Russia) and Aliaksei Slinka and Qingwei Zhang (Huawei Technologies Ltd)) on Workshop: ExaMPI: Workshop on Exascale MPI at The International Conference for High Performance Computing, Networking, Storage, and Analysis Supercomputing 2021.
School-Seminar "Current State and Perspectives of Atomistic and Multi-Scale Computer Modeling for Fundamental Science and Technology"
On Friday, October 15, School-Seminar "Current State and Perspectives of Atomistic and Multi-Scale Computer Modeling for Fundamental Science and Technology" was held at MIEM.
Open-Source GPU Technology for Supercomputers: Researchers Navigate Advantages and Disadvantages
Researchers from the HSE International Laboratory for Supercomputer Atomistic Modelling and Multi-scale Analysis, JIHT RAS and MIPT have compared the performance of popular molecular modelling programs on GPU accelerators produced by AMD and Nvidia. In apaper published by the International Journal of High Performance Computing Applications, the scholars ported LAMMPS on the new open-source GPU technology, AMD HIP, for the first time.