Navigation Laboratoire Bordelais de Recherche en Informatique (LaBRI)

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Navigation Laboratoire Bordelais de Recherche en Informatique (LaBRI) - UMR 5800 par Auteur "AGULLO, Emmanuel"

Étude mémoire d'une méthode multifrontale parallèle hors-mémoire

On Reducing the I/O Volume in a Sparse Out-of-core Solver

Overview of Distributed Linear Algebra on Hybrid Nodes over the StarPU Runtime

Dynamically scheduled Cholesky factorization on multicore architectures with GPU accelerators.

Faster, Cheaper, Better – a Hybridization Methodology to Develop Linear Algebra Software for GPUs

QR Factorization on a Multicore Node Enhanced with Multiple GPU Accelerators

On the I/O Volume in Out-of-Core Multifrontal Methods with a Flexible Allocation Scheme

Towards a Parallel Out-of-core Multifrontal Solver: Preliminary Study

LU Factorization for Accelerator-based Systems

Bridging the Gap between Performance and Bounds of Cholesky Factorization on Heterogeneous Platforms

A Parallel Out-of-core Multifrontal Method: Storage of Factors on Disk and Analysis of Models for an Out-of-core Active Memory

Reducing the I/O Volume in an Out-of-Core Sparse Multifrontal Solver

A Preliminary Out-of-Core Extension of a Parallel Multifrontal Solver

Navigation Laboratoire Bordelais de Recherche en Informatique (LaBRI) - UMR 5800 par Auteur "AGULLO, Emmanuel"

Étude mémoire d'une méthode multifrontale parallèle hors-mémoire ﻿

On Reducing the I/O Volume in a Sparse Out-of-core Solver ﻿

Overview of Distributed Linear Algebra on Hybrid Nodes over the StarPU Runtime ﻿

Dynamically scheduled Cholesky factorization on multicore architectures with GPU accelerators. ﻿

Faster, Cheaper, Better – a Hybridization Methodology to Develop Linear Algebra Software for GPUs ﻿

QR Factorization on a Multicore Node Enhanced with Multiple GPU Accelerators ﻿

On the I/O Volume in Out-of-Core Multifrontal Methods with a Flexible Allocation Scheme ﻿

Towards a Parallel Out-of-core Multifrontal Solver: Preliminary Study ﻿

LU Factorization for Accelerator-based Systems ﻿

Bridging the Gap between Performance and Bounds of Cholesky Factorization on Heterogeneous Platforms ﻿

A Parallel Out-of-core Multifrontal Method: Storage of Factors on Disk and Analysis of Models for an Out-of-core Active Memory ﻿

Reducing the I/O Volume in an Out-of-Core Sparse Multifrontal Solver ﻿

A Preliminary Out-of-Core Extension of a Parallel Multifrontal Solver ﻿

Étude mémoire d'une méthode multifrontale parallèle hors-mémoire

On Reducing the I/O Volume in a Sparse Out-of-core Solver

Overview of Distributed Linear Algebra on Hybrid Nodes over the StarPU Runtime

Dynamically scheduled Cholesky factorization on multicore architectures with GPU accelerators.

Faster, Cheaper, Better – a Hybridization Methodology to Develop Linear Algebra Software for GPUs

QR Factorization on a Multicore Node Enhanced with Multiple GPU Accelerators

On the I/O Volume in Out-of-Core Multifrontal Methods with a Flexible Allocation Scheme

Towards a Parallel Out-of-core Multifrontal Solver: Preliminary Study

LU Factorization for Accelerator-based Systems

Bridging the Gap between Performance and Bounds of Cholesky Factorization on Heterogeneous Platforms

A Parallel Out-of-core Multifrontal Method: Storage of Factors on Disk and Analysis of Models for an Out-of-core Active Memory

Reducing the I/O Volume in an Out-of-Core Sparse Multifrontal Solver

A Preliminary Out-of-Core Extension of a Parallel Multifrontal Solver