Avoiding Communication in Dense and Sparse Linear Algebra,
a presentation in ppt
Proposal to update the
LAPACK and
ScaLAPACK
linear algebra libraries, in
pdf or
postscript.
CITRIS is the Center
for Information Technology Research in the interest of Society,
a new $300M multicampus research center with the mandate of
creating information technology to tackle society's most
critical needs. Initial CITRIS research will focus on
energy efficiency, transportation, disaster response, health care,
education and environmental monitoring.
SUGAR
is a simulation tool for MEMS (MicroElectroMechanical Systems),
tiny sensors and actuators that form a pillar of
CITRIS's
approach to solving large scale societal problems.
SUGAR is used by many researchers in the
Berkeley Sensor and Actuator Center (BSAC).
BeBOP is
Berkeley Benchmarking and OPtimization Group. We work on automatic
performance optimization of numerical kernels, tuning them to
run as fast as possible for particular architectures and sometimes
particular inputs.
Millennium
is a campus-wide project to provide hardward and sofware facilities
for high performance computing. My activities are
to provide algorithms, software and advice
to best facilitate computational science and engineering on campus.
The Complexity of Accurate Floating Point Computation.
See below for recent talks.
Templates for the Solution of Algebraic Eigenvalue Problems:
This book gives a unified overview of the theory, algorithms and
practical software for eigenvalue problems. It organizes this large
body of material to make it accessible for the first time to experts
and non-experts who need to choose the best state-of-the-art algorithms
and software for their problems.
LAPACK - Linear Algebra PACKage for high performance workstations and
shared memory parallel computers.
The
LAPACK Manual is available on-line.
(This and much other useful numerical software is available on
Netlib.)
ScaLAPACK
- Scalable Linear Algebra PACKage for high performance distributed
memory parallel computers,
The
ScaLAPACK Manual is available on-line.
Proposal to update the
LAPACK and
ScaLAPACK
linear algebra libraries.
SuperLU, implementations of sparse
Gaussian Elimination for high performance parallel machines
Templates for the Solution of Linear Systems:
Building Blocks for Iterative Methods is a hyper-text book on
iterative methods for solving systems of linear equations.
A similar book project for eigenvalue problems is underway.
Avoiding Communication in Dense and Sparse Linear Algebra,
a presentation in ppt,
presented at the
Householder Symposium 2008
Der Zahlenlehrling / The Numerical Apprentice, a poem
(in ppt)
in memory of Gene Golub,
presented at the
Householder Symposium 2008
A Celebration of William Kahan and Beresford Parlett,
a speech given at
Bay Area Scientific Computing Day 2008,
in
PowerPower2003 (8.6MB) or
pdf (3.6MB).
The Future of LAPACK
and ScaLAPACK (in powerpoint),
presented at PARA 06 meeting, Umea, Sweden, June 2006
Towards Accurate Polynomial Evaluation,
or When can Numerical Linear Algebra be done accurately? (in pdf),
presented at Banff meeting, October, 2005
The future of numerical linear algebra:
Automatic Performance Tuning of Sparse Matrix Kernels, and
The Next LAPACK and ScaLAPACK.
In
powerpoint.
The Cost of Accurate Numerical Linear Algebra, or
Can we evaluate polynomials accurately?
The Complexity of Accurate Floating Point Computation, or
Can we do Numerical Linear Algebra in Polynomial Time?
Scaling in Numerical Linear Algebra,
Scaling to New Heights,
Pittsburgh Supercomputer Center,
20 May 2002 (in PowerPoint)
CITRIS Seminar, 7 Feb 2002 (in PowerPoint)
Guest Lecture on Dense Linear Algebra for CS267
(Fall 2001, in PowerPoint)
High performance Information Retrieval and MEMS CAD on Intel Itanium
(in PowerPoint)
UCB EECS Department Talk, Oct 12, 2001.
(Version from 11 Dec, 2001)
CITRIS - Center for Information Technology Research in the Interest of
Society (in PowerPoint)
UCB EECS Department Colloquium, Oct 10, 2001.
The Complexity of Accurate Floating Point Computation
in postscript or
in pdf.
Recent Progress in High Accuracy and High Performance Linear Algebra
Algorithms
May 4, 1999.
Solving systems of linear equations,
and finding eigenvalues of symmetric matrices are
standard problems that arise in many mathematical
modeling problems. Solutions have existed for a long
time, but these solutions are no longer good enough,
because the demands of applications keep growing to
larger problems, and to more ``sensitive'' problems
that require higher accuracy. In addition, the larger
problems in turn require large parallel computerswhere
communication is much more expensive than computation.
Recent Progress in High Accuracy and High Performance Linear Algebra
Algorithms
May 13, 1999.
This version of the above talk was an invited presentation
at the 1999 SIAM Annual Meeting.
Survey of Parallel Numerical Linear Algebra Libraries
Aug 20, 1997.
This survey of dense and sparse parallel numerical linear algebra libraries
covered a variety of available software for dense and sparse linear
algebra problems on parallel computers, including LAPACK, ScaLAPACK,
SuperLU and others. It was presented at a short course for NPACI
(at the San Diego Supercomputer Center).
Math 128a
is a one semester upper division course on numerical analysis.
CS 170
is a one semester upper division course on efficient algorithms and intractable
problems.
Math 221 is a one semester course in matrix
computations. My text for the course,
Applied Numerical Linear Algebra,
was published by SIAM in August 1997.
CS 267 is a
one-semester graduate class in Applications of Parallel Computers.
(Fall 2001 version of CS 267), offered by Prof. Katherine Yelick)
NSF-CBMS Short Course on
Parallel Numerical Linear Algebra, held summer 1995, and based on the
Spring 1995 version of CS 267.
Computational Science Education Project provides an on-line
text book on high-performance computing. I co-authored the chapter on
Parallel Numerical Linear Algebra
Math 55 is a one-semester
undergraduate course in discrete mathematics, offered Spring semester 1997.