The ScaLAPACK Project

3/18/97


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Table of Contents

The ScaLAPACK Project

Outline

Scalable Parallel Library for Numerical Linear Algebra

ScaLAPACK

Goals - Port LAPACK to distributed-memory environments.

Programming Style

Overall Structure of Software

PBLAS

PBLAS

ScaLAPACK Structure

What’s Included

Data Distributions

Distribution and Storage

Parallelism in ScaLAPACK

Heterogeneous Computing

Performance

Performance

Performance

LU Performance (Mflop/s) on 32 nodes Intel XP/S MP Paragon

Performance of LU fact. + solve on the Intel MP XP/S Paragon (Mflop/s) (2 computational processors per node)

Out of Core Software Approach

Out of Core Algorithms

Performance

HPF Version

HPF Performance for LU on 12-node Cluster Sun Ultra using PGI Compiler

ScaLAPACK - Ongoing Work

Summary

ScaLAPACK Team

Sparse Gaussian Elimination

Super LU

Author: Jack Dongarra

Email: dongarra@cs.utk.edu

Home Page: http://www.netlib.org/utk/people/JackDongarra