<--- Back to Details
First PageDocument Content
Computing / Numerical linear algebra / Parallel computing / Numerical analysis / Computer architecture / GPGPU / Numerical software / Graphics hardware / Graphics processing unit / Cholesky decomposition / Basic Linear Algebra Subprograms / LAPACK
Date: 2016-06-16 06:44:46
Computing
Numerical linear algebra
Parallel computing
Numerical analysis
Computer architecture
GPGPU
Numerical software
Graphics hardware
Graphics processing unit
Cholesky decomposition
Basic Linear Algebra Subprograms
LAPACK

Dynamically scheduled Cholesky factorization on multicore architectures with GPU accelerators. Emmanuel Agullo, C´edric Augonnet, Jack Dongarra, Hatem Ltaief, Raymond Namyst, Jean Roman, Samuel Thibault, Stanimire Tomov

Add to Reading List

Source URL: hal.inria.fr

Download Document from Source Website

File Size: 499,84 KB

Share Document on Facebook

Similar Documents

13  Numerical Linear Algebra We consider here the numerical side of linear algebra, the symbolic side being described in Chapter 8. The linear algebra numerical analysis and methods are discussed in [TBI97, Sch02]. The b

13 Numerical Linear Algebra We consider here the numerical side of linear algebra, the symbolic side being described in Chapter 8. The linear algebra numerical analysis and methods are discussed in [TBI97, Sch02]. The b

DocID: 1tLKo - View Document

NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS Numer. Linear Algebra Appl. 2001; 00:1–6 Prepared using nlaauth.cls [Version: v1.0] Preconditioning KKT systems

NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS Numer. Linear Algebra Appl. 2001; 00:1–6 Prepared using nlaauth.cls [Version: v1.0] Preconditioning KKT systems

DocID: 1t9SY - View Document

Assignment 3 Randomization in Numerical Linear Algebra (PCMI) 1. Let A be an n × d matrix with n  d. (i) Give an example of a matrix A whose row leverage scores are all equal. (ii) Give an example of a matrix A whose r

Assignment 3 Randomization in Numerical Linear Algebra (PCMI) 1. Let A be an n × d matrix with n  d. (i) Give an example of a matrix A whose row leverage scores are all equal. (ii) Give an example of a matrix A whose r

DocID: 1sv5W - View Document

Microsoft PowerPoint - lacsi-sans-1006

Microsoft PowerPoint - lacsi-sans-1006

DocID: 1ru2M - View Document

Time Series Lesson 9 Grant Foster  Representing Data

Time Series Lesson 9 Grant Foster Representing Data

DocID: 1rs99 - View Document