The Russian Academy of Sciences (RAS), a broad network of scientific research institutes across the country, is updating its main supercomputing centre with new Nvidia Tesla GPUs.
RAS is increasing its parallel-computing resources by adding 128 Tesla M2090 GPUs installed in HP ProLiant SL390 G7 servers, to address the explosive growth in the number of scientific applications that use GPUs to drive research projects.
The RAS network of member institutes are focused on large numbers of scientific research projects. More than 30 of these institutes currently utilise GPUs for research across a wide range of scientific fields, including hydro-dynamics, geological modelling, genomic analysis, gas dynamics, computational mathematics, molecular dynamics, image processing, computed tomography, electromagnetics, and others.
'In my research using industrial codes for free surface flows using Navier-Stokes and shallow water equations, I was able to process research data much more efficiently using GPUs. This enabled me to analyse and monitor five times more dam break scenarios and flood regions,' said Evstigneev Nikolay, senior staff scientist at the Laboratory of Chaotic and Nonlinear Dynamics, Institute for System Analysis RAS.
