Section: Partnerships and Cooperations

International Initiatives

Inria International Labs

JLESC: Joint Laboratory on Extreme-Scale Computing.

This laboratory is jointly run by Inria, UIUC, ANL and BSC. It has ben created in 2014 as a follow-up of the Inria-UIUC JLPC to collaborate on concurrency-optimized I/O for Extreme-scale platforms (see details in Section  4.3 ). This project is an extension of the Joint Inria-UIUC Laboratory for Petascale Computing (JLPC) which was used as the basis of the Data@Exascale Associate Team with ANL and UIUC (2013–2015).

Inria Associate Teams

Data@Exascale

• Title: Ulta-scalable I/O and storage for Exascale systems

• Inria principal investigator: Gabriel Antoniu

• International Partners:

  • Argonne National Laboratory (United States) - Mathematics and Computer Science Division - Rob Ross

  • University of Illinois at Urbana Champaign (United States) - Marc Snir

• Duration: 2013–2015

• See also: http://www.irisa.fr/kerdata/data-at-Exascale/

• Description: as the computational power used by large-scale scientific applications increases, the amount of data manipulated for subsequent analysis increases as well. Rapidly storing this data, protecting it from loss and analyzing it to understand the results are significant challenges, made more difficult by decades of improvements in computation capabilities that have been unmatched in storage. For many applications, the overall performance and scalability becomes clearly driven by the performance of the I/O subsystem. As we anticipate Exascale systems in 2020, there is a growing consensus in the scientific community that revolutionary new approaches are needed in computational science storage. These challenges are at the center of the activities of the Joint Inria-UIUC Lab for Petascale Computing, recently extended to Argonne National Lab. This project gathers researchers from Inria, Argonne National Lab and the University of Illinois at Urbana Champaign to address 3 goals: 1) investigate new storage architectures for Exascale systems; 2) investigate new approaches to the design of I/O middleware for Exascale systems to optimize data processing and visualization, leveraging dedicated I/O cores and I/O forwarding techniques; 3) explore techniques enabling adaptive cloud data services for HPC.

Participation In other International Programs

FP3C ANR-JST project (2010–2014).

This project co-funded by ANR and by JST (Japan Science and Technology Agency) started in October 2010 for 42 months. It focuses on programming issues for Post-Petascale architectures. In this framework, KerData collaborates with the University of Tsukuba on data management issues. Rohit Saxena was hired as an engineer until February 2014.

Inria International Partners

Declared Inria International Partners

Politehnica University of Bucharest.

This status was established since January 2013, right after the end of our former DataCloud@work Associate Team.

Informal International Partners

Huazhong University of Science and Technology (HUST), China.

We collaborate on optimizing Map-Reduce in virtualized environments.

Nanyang Technological University (NTU).

We collaborate on optimizing Big Data applications in the Cloud and HPC systems.