Webinar – Build the Most Powerful Data Center with GPU Computing Technology and High-speed Interconnect

Build the Most Powerful Data Center with GPU Computing Technology and High-speed Interconnect

Date: Thursday, June 11, 2020
Time: 11:00am-12:30pm Singapore Time

Register here 

Please join NVIDIA as we discuss how to design a well-balanced system that maximizes performance and scalability of various workloads using NVIDIA GPUs and interconnect

Speakers will provide an overview of the state-of-the-art NVIDIA GPU accelerated compute architecture and In-Network computing fabric and how they come together with one goal: to deliver a solution that democratizes supercomputing power, making it readily accessible, installable, and manageable in a modern business setting. To learn more about this webinar click here

“Command not found” Errors encountered in Gaussian G16

If you encountered errors when running Gaussian

bash: gview.sh: command not found

OR

bash: g16: command not found

OR

$g16/bsd/g16.profile: Permission denied

Usually it is due to the fact that the user is not in the Gaussian permission group.

Your GV and G16 folders should be in a unique Gaussian group. I have created a Gaussian Group called hpc_g16_group and put all the Gaussian users inside this group. Make sure the entire folder and sub folder of g16 and gv is using the same g16 group

drwxr-x--- 6 admin hpc_g16_group 4492 Aug 27 2019 g16
drwxr-x--- 10 admin hpc_g16_group 391 Feb 18 2019 gv

 

Predicting the course of the COVID-19 epidemic in Poland

Virtual_ICM_Seminar_21May2020

TITLE: Predicting the course of the COVID-19 epidemic in Poland

SPEAKER: Franciszek Rakowski, affiliated Researcher at ICM University of Warsaw; principal Data Scientist at the AI institute, Samsung R&D, Poland

DATE&TIME: Thursday, May 21, 2020 at 4:00 PM (CEST)

PLEASE REGISTER AT:
https://supercomputingfrontiers.eu/2020/tickets/neijis7eekieshee/

ABSTRACT:
One of the most promising approaches to predicting the possible scenarios of the epidemic is based on agent-based models. The idea of that model family is quite simple: reproduce the demographic and sociological structure of the society, and run the simulations of the disease spread throughout that structure. The direct reproduction of the contact structure allows investigating the consequences of various administrative measures applied, like school closure or travel restrictions. The model results can be visualised as a dynamic map of spreading disease, and enables the assessment of burden of disease factors locally. Our model, constructed more than 10 years ago for influenza epidemics, has been reanimated and tuned to COVID-19 parameters. It is now producing both scientific results as well as pragmatic reports, which are then being passed to Polish governmental authorities.

SPEAKER’S BIO:
FRANCISZEK RAKOWSKI: Affiliated Researcher at ICM University of Warsaw.
Principal Data Scientist at the AI institute, Samsung R&D, Poland. Almost 10 years ago, when working at ICM UW as researcher, he led a project to construct a large-scale agent-based epidemic spread model for influenza disease. Recently, during the times of COVID-19 pandemic, he became the project leader of development and adaptation of the ICM Epidemic Model to the coronavirus disease. His interests also cover cognitive science, neuroscience and computational biology.