United against Coronavirus: SCALAC (Advanced Computing System for Latin America and the Caribbean)
SCALAC, Latin American Academic Networks and RedCLARA provide free processing capacity for studies related to COVID-19.
In order to contribute to the search for a cure for the Coronavirus, the National Research and Education Networks in Latin America, united through RedCLARA, and in partnership with SCALAC (Advanced Computing System for Latin America and the Caribbean), made available to researchers and scientists data processing capacity for research projects for free as a way of finding solutions to the pandemic.
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National Laboratory for High Performance Computing of Chile (NLHPC)
The NLHPC infrastructure is made up of two clusters called Guacolda and Leftraru, which are integrated and sharing storage and connectivity. Leftraru came into operation at the end of 2014 and Guacolda joined it in mid-2019, to increase the NLHPC's computing capacity. Its central processing node is housed in the Center for Mathematical Modeling (CMM), at the University of Chile. The total capacity of Leftraru + Guacolda at the end of 2019 was 5236 cores, 266 Tflops, 274 TB Luster storage and 23 TB RAM.
Researchers who will have access to the service should pay attention to the following instructions:
- The web application is being provided by NLHPC, which is why the information shown (such as access and use policies) is related to the laboratory and may vary according to the computing center where the simulations are run.
- There are different types of accounts. For this reason, select the “investigación” (research) type.
- When the system asks for the name of the project(s) related to the application, simply delete the field or enter the name COVID and the code 00019.
- It is necessary to indicate that you know the scalability and attach any file. Take into account that the center where the simulations are being run could ask for this information later. Likewise, if you want to perform a test using the NLHPC infrastructure, before requesting resources, you can do it.
Alberto Luiz Coimbra Institute for Postgraduate and Research of Engineering at the Federal University of Rio de Janeiro (COPPE-UFRJ) and National Laboratory for Scientific Computing (LNCC), Brazil
The COPPE-UFRJ supercomputer is the “Lobo Carneiro”. The supercomputer of the LNCC, in turn, is the "Santos Dumont". The two supercomputers together offer a capacity of 1.4 Petaflops for COVID-19 research.
Those interested should submit their projects must use the forms and links presented below. The evaluation commissions are working “fast-track” for projects related to COVID-19, so that the proposals can be accepted quickly and remotely.
Details on the configuration of the machines:
Santos Dumont (LNCC): http://sdumont.lncc.br/machine.php?pg=machine#
Lobo Carneiro (COPPE/UFRJ): http://www.nacad.ufrj.br/en/recursos/sgiicex