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Home > TERATEC FORUM > > Workshop 5
TERATEC Forum 2014
Power and energy optimisation, efficient programming and run-time execution, resilience and fault-tolerance are crucial properties for future high performance computing and big data processing systems – as well as challenges on the road to exascale. In the first part of the session, there will be five presentations to illustrate the state-of-the-art and perspectives on these topics, borrowing from various research and development achievements. A panel discussion between the speakers and the public will dominate the second part of the afternoon.
 Energy modeling and optimization for HPC
Benoit PRADELLE, UVSQ
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| Energy Aware Computing
Dr. Luigi BROCHARD, IBM Distinguished Engineer
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| MAQAO: a performance analysis and optimization toolsuite
Andrés S. CHARIF-RUBIAL, UVSQ / ECR Lab
- William JALBY, UVSQ / ECR Lab
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| Maximize the efficiency of your cluster with Allinea tools Patrick WOHLSCHLEGEL, EMEA Presales Engineer, ALLINEA |
| “Advanced Multi Fault Tolerance” in parallel applications: Multi level storage with FTI middleware
Eric BOYER, CINES |
© TERATEC 2014 |
Our modern world is facing a new challenge: the flooding of data. Be them coming from scientific experiments or more private usages, those huge amounts of data cannot be handled by classical tools anymore. One needs to use HPC and Business Intelligence large datawarehousing tools, in order to scale innovative methods to manipulate and extract valuable information of such overwhelming databases. The Big Data session is tryed to cast a light on the challenges arising from large volumes and short processing times in relation with HPC and Business Intelligence perspectives. Actors from the scientific and industrial worlds have illustrated those two aspects. They have also explained the relation between HPC and Business Intelligence approaches as a convergence to the Big Data concept.
Scientists and engineers have long been producing and using big datasets, be there numerical simulation results, observed or measured data, or digital models. These data have been tremendously growing in volume while their distribution and circulation on networks has been exacerbated. But we are now also surrounded and overwhelmed by massive flow of business, administrative, financial, multimedia, social network data, as well as data related to sensor networks or mobile objects. Be there public or private, creating meaning and value from these data deluges will require radical improvement and new approaches for their storage, processing, analysis and exploitation. In this session leading observers and players of these “big data” phenomena will share their vision and give us food for thought through a diversity of applications and approaches.
