Waves of data becoming an actual tsunami
Posted by Philippe Letellier
· 20 May 2016
Our world is not becoming digital, it is already digital. A huge amount of data is produced every second with a unique opportunity to extract value from it. It requires sophisticated algorithms to automatically extract this added value. Sophisticated algorithms, big data to process: this is a big challenge for our industries called High Performance Computing (HPC). The natural speed of growth of the CPU chipsets has to be overcome to follow the growth of data. An associated challenge is to participate in a greener world as data centre energy consumption is becoming less and less marginal in global energy consumption.
Digital transition is at the heart of ITEA. It is very important and we invest in innovative HPC machine architectures and associated software development tools. H4H has been very successful along this path. It has delivered results with heterogeneous architecture (GPU, multi core, huge central memory), enabled easier development of HPC applications while optimising performance of the applications and reducing energy consumption by advanced cooling systems.
And the results were there: for analysis simulations of noise, vibration and harshness they reduced the simulation time from 6 days to 2 hours! Increased complexity of models for electromagnetic interference analysis has increased from 5 billion unknowns to 60 billion unknowns. For furnace optimisation Recom reduced simulation time from 12 to 1.5 hours, which prevents unexpected furnace downtime costing more than €5 million.
And the fast exploitation followed: Bull launched Sequana - the first range of Exascale ready supercomputers - on 12 November 2015 with new architecture, new cooling technologies that has created a set of new customers on all continents for Bull. The SW tool providers took advantage of the Bull deployment to sell their environment worldwide in parallel. CEA List won the "Gendarmerie Nationale" call for tenders with its image-based stolen object retrieval.
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