|Name:||HPC for Oil & Gas Exploration: Performance & Usability|
|Time:||Wednesday, June 25, 2014
11:30 am - 11:50 am
CCL - Congress Center Leipzig
|Breaks:||10:30 am - 11:30 am Coffee Break|
|Speaker:||Nicola Bienati, Eni E&P|
|Abstract:||Oil and Gas Exploration industry is probably one of the toughest clients for HPC systems and HPC software. Indeed in order to maximize the probability of successfully identifying and accurately localize hydrocarbon reservoirs it is necessary to process and analyze very large seismic datasets (having the size of tens of Terabytes) subject to strict time constraints, and by using extremely computationally demanding algorithms. The heaviest jobs usually run for tens of days using hundreds of nodes. At the same time, HPC resources have to be accessible to users hiding the inherent complexity of HPC systems, since user skills, know-how, and effort have to remain focalized on data processing and data analysis tasks.
On one side there is therefore the need to maximize throughput to deliver results in a timely manner. Such requirement is addressed by working both on hardware (through the adoption of state of the art components) and on software optimization, and also by optimizing the interaction among all the components of the HPC infrastructure (computing nodes, network, storage, software stack, and applications). At the same time it is required to implement complex workflows characterized by a strict interaction with the users. In such context, in order to maximize productivity aspects like user friendliness and fault tolerance have to be addressed by working on the application side.
In this presentation, we will show how Eni has tackled these issues while moving to a new Petaflop class computing facility and switching from a standard to an accelerated computing architecture.