Category Archives: News and Events

StarNEig published in Special Issue of CCPE

An extended paper describing the task-based StarNEig library for solving nonsymmetric standard and generalized eigenvalue problems has been published in a special issue of the international journal “Concurrency and Computation: Practice and Experience”. The publishers version can be found here. A post print can be found here.

New release of the StarNEig library

StarNEig is a new task-based parallel library for solving nonsymmetric standard and generalized eigenvalue problems. A new version (StarNEig 0.1 Beta 4) is now freely available for download from the dedicated website https://nlafet.github.io/StarNEig/ StarNEig is either comparable to LAPACK and ScaLAPACK or significantly faster depending on the computational step. Moreover, StarNEig realizes new parallel and blocked algorithms for computing eigenvectors… Read more »

Three new papers published

Three papers based on research completed at Umeå University during the NLAFET project were presented at the conference PPAM-2019 (Parallel Processing and Applied Mathematics) in Bialystok, Poland in September 2019. They now appear as part of the peer-reviewed conference proceedings published by Springer as LNCS volume 12043. Free preprints are also available through arXiv. 1: Carl Christian Kjelgaard Mikkelsen and… Read more »

CCPE – Paper Accepted for special issue

Paper accepted to a special issue of Concurrency and Computation: Practice and Experience (CCPE). This special issue will consist of extended versions of the best papers accepted by PPAM 2017. The title of the paper is “Parallel robust solution of triangular linear systems” Robust algorithms do not suffer from overflow and always return a valid result. In LAPACK eigenvectors (standard… Read more »

Research poster award for Mawussi Zounon

Research poster award for Mawussi Zounon on exploiting the low precision floating-point arithmetic available on NVIDIA V100 GPU in solving linear system of equations. The title of the poster is “Using GPU’s FP16 Tensor Cores Arithmetic to Accelerate Mixed-Precision Iterative Refinement Solvers and Reduce Energy Consumption” with the authors Azzam Haidar, Stan Tomov, Ahmad Abdelfattah, Mawussi Zounon, Jack Dongarra

SIAM PP18 – SIAM Conference on Parallel Processing for Scientific Computing

NLAFET sent several participants to SIAM PP18 (March 7-10, 2018) at Waseda University in Tokyo, Japan, where they presented some of their ongoing research.  Persons in italic made the presentation at the conference. Talks Dense Linear Systems for Extreme Scale  Jack J. Dongarra, University of Tennessee, ORNL, and University of Manchester, USA The Batched Blas abstract Sven J. Hammarling and… Read more »