Projects PEQUAN

Team : PEQUAN

HPDDM - high-performance unified framework for domain decomposition methods

HPDDM is a collection of preconditioners based on domain decomposition, either overlapping or non-overlapping. They can be used to solve large linear systems, as typically encountered when discretizing partial differential equations. These preconditioners can be used in conjunction with various Krylov methods. The library is usable in C, C++, Python, or Fortran codes.
Project leader : Pierre JOLIVET
12/01/2022
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FiXiF - Reliable fixed-point implementation of linear signal processing (and control) algorithms

FiXiF is a suite of tools used to implement filters on embedded devices (usually DSP, micro-controllers, FPGA or ASIC) with finite-precision impact in minds (fixed- or floating-point arithmetic).
Project leader : Thibault HILAIRE
08/01/2017
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PROMISE - PRecision OptiMISE

PROMISE is a tool to auto-tune the precision of floating-point variables in numerical codes.
Project leader : Fabienne JEZEQUEL
01/01/2016
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ExBLAS - Exact Basic Linear Algebra Subprograms

ExBLAS aims at providing algorithms and implementations for fundamental linear algebra operations (like those included in the BLAS library) that deliver reproducible and accurate results with small or without losses to their performance on modern parallel architectures.
Project leader : Stef GRAILLAT
01/01/2014
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SAM - Stochastic Arithmetic in Multiprecision

The SAM library enables rounding error estimation in arbitrary precision programs.
Project leader : Fabienne JEZEQUEL
01/01/2010
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CADNA - Control of Accuracy and Debugging for Numerical Application

CADNA is a library which allows to perform scientific computations with the estimation and the control of the round-off error propagation.
Project leader : Fabienne JEZEQUEL
01/10/1992
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