Section: Partnerships and Cooperations

International Initiatives

Inria Associate Teams Not Involved in an Inria International Labs

FASTLA

• Title: Fast and Scalable Hierarchical Algorithms for Computational Linear Algebra

• International Partner (Institution - Laboratory - Researcher):

  • Stanford (United States) - Institute for Computational and Mathematical Engineering) ICME - Eric Darve

• Start year: 2012

• See also: http://people.bordeaux.inria.fr/coulaud/projets/FastLA_Website/

• In this project, we propose to study fast and scalable hierarchical numerical kernels and their implementations on heterogeneous manycore platforms for two major computational kernels in intensive challenging applications. Namely, fast multipole methods (FMM) and sparse linear solvers that appear in many intensive numerical simulations in computational sciences. For the solution of large linear systems, the ultimate goal is to design parallel scalable methods that rely on efficient sparse and dense direct methods using H-matrix arithmetic. Finally, the innovative algorithmic design will be essentially focused on heterogeneous manycore platforms by using task based runtime systems. The partners, Inria HiePACS, Lawrence Berkeley Nat. Lab and Stanford University, have strong, complementary and recognized experiences and backgrounds in these fields