From a85997926c156efc3baf5c5263ecefe5b18ae992 Mon Sep 17 00:00:00 2001 From: Fabio Durastante Date: Mon, 18 Nov 2024 10:08:29 +0100 Subject: [PATCH] Update README.md --- README.md | 17 +++++++++-------- 1 file changed, 9 insertions(+), 8 deletions(-) diff --git a/README.md b/README.md index 0b5350b0..7fcbc96e 100644 --- a/README.md +++ b/README.md @@ -15,7 +15,13 @@ AMG4PSBLAS enables the user to easily specify different features of an algebraic The package employs object-oriented design techniques in Fortran 2008, with interfaces to additional third party libraries such as MUMPS, UMFPACK, SuperLU, and SuperLU_Dist, which can be exploited in building multilevel preconditioners. The parallel implementation is based on a Single Program Multiple Data (SPMD) paradigm; the inter-process communication is based on MPI and is managed mainly through PSBLAS. -## Main refrerences: +## Main Refrerences: + +The main reference for this project is +> D'Ambra, P., Durastante, F., & Filippone, S. (2021). AMG preconditioners for linear solvers towards extreme scale. SIAM Journal on Scientific Computing, 43(5), S679-S703. + +AMG4PSBLAS contains the suite of preconditioners for the Parallel Sparse Computation Toolkit ([PSCToolkit](https://psctoolkit.github.io/)) suite of libraries. See the paper: +> D’Ambra, P., Durastante, F., & Filippone, S. (2023). Parallel Sparse Computation Toolkit. Software Impacts, 15, 100463. The main reference for features inherited from MLD2P4 is > P. D'Ambra, D. di Serafino, S. Filippone, @@ -24,12 +30,6 @@ The main reference for features inherited from MLD2P4 is > ACM Transactions on Mathematical Software, 37 (3), 2010, art. 30, > doi: 10.1145/1824801.1824808. -The new features introduced and which led to the library's name change are described in the article -> D'Ambra, P., Durastante, F., & Filippone, S. (2021). AMG preconditioners for linear solvers towards extreme scale. SIAM Journal on Scientific Computing, 43(5), S679-S703. - -AMG4PSBLAS contains the suite of preconditioners for the Parallel Sparse Computation Toolkit ([PSCToolkit](https://psctoolkit.github.io/)) suite of libraries. See the paper: -> D’Ambra, P., Durastante, F., & Filippone, S. (2023). Parallel Sparse Computation Toolkit. Software Impacts, 15, 100463. - ## Installing Installation requires having a working version of the [PSBLAS](https://github.com/sfilippone/psblas3) library installed. @@ -70,6 +70,7 @@ In the European project “Energy oriented Center of Excellence: toward exascale ## The AMG4PSBLAS team. -- Salvatore Filippone (University of Rome Tor Vergata and IAC-CNR) - Pasqua D'Ambra (IAC-CNR, Naples, IT) - Fabio Durastante (University of Pisa and IAC-CNR, IT) +- Salvatore Filippone (University of Rome Tor Vergata and IAC-CNR, IT) +