1 / 6

The MOAIS team-project

The MOAIS team project focuses on delivering end-to-end parallel programming solutions aimed at high-performance interactive computing. With an emphasis on multi-objective performance and adaptability to various platforms, this initiative covers areas such as optimization, computational steering, and VR integration. Notable achievements include winning multiple prizes for parallelization techniques and significant advancements in Monte Carlo simulations for option pricing. The project leverages the Kaapi/Taktuk framework to enhance computational efficiency and fault tolerance. For more information, visit our highlighted platforms.

cutter
Télécharger la présentation

The MOAIS team-project

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. input output The MOAIS team-project • Objective: End-to-end parallel programming solutionsfor high-performance interactive computing with provable performances. optimization computational steering, VR embedded • Performance is multi-objective • Adaptive to the platform Option pricing on grid[LIG Moais / LJK MathFi] INRIA Grimage platform [LIG/LJK MOAIS, PERCEPTION, EVASION] Streaming on MPSoCs [ST]

  2. MPSoC Grids Cluster SMP multi-core GPU Evolution of parallel programming and Moais’softwares Multi-objective Adaptive Performance • Applications are time-consuming but essential to validate scientific approach AWS / Kaapi-C

  3. Highlights Kaapi/Taktuk • Nov. 2007: 1st prize • Nqueens(23) in 2107s with 3654 cores • Nov 2008: 1st Prize • Portolio Pricing (LIG/Moais + LJK/MathFi) • 1st prize Plugtest Nov. 2007 and Nov 2008 • KAAPI winner of V GRID PLUGTEST 2008 Super Quant Monte Carlo Challenge • Parallelization of a code for pricing high dimensional European options (Monte Carlo method) • 1st rank : 988 options priced in the 1 hour allocated computation time on a grid with 3609 cores (machines in Japan and France) • Kaapi/Taktuk: programming/deployment tool [for GCM standard]&fault tolerance

  4. Highlights FlowVR / Grimagehttp://grimage.inrialpes.fr/ • GRIMAGE platform: SIGGRAPH Aug. 2007 Emerging Tech. Demo • … fête de la science / Grand Palais Paris Nov. 2008 • Valorization: start-up ~4000 visitors

  5. Highlight HPC Kaapi: SOFA http://www.sofa-framework.org/

  6. Contacts • Moais: Jean-Louis.Roch@imag.fr • Kaapi: Thierry.Gautier@imag.fr • FlowVR / Grimage: Bruno.Raffin@imag.fr

More Related