CS 594-001

Understanding Parallel Computing:  Spring 2006 – 3 Credits

Wednesdays from 1:30 – 4:15

Room C211

Prof. Jack Dongarra with help from Profs. George Bosilca, David Cronk, Graham Fagg, and Julien Langou

Email: dongarra@cs.utk.edu

Phone: 865-974-8295

Fax: 865-974-8296

Office hours: Wednesday 11:00 - 1:00, or by appointment

TA: Thara Angskun

O : 350 Claxton Complex, 974-6722

OH: 10am-11am TR, or by request

 

Class Roster

 If your name is not on the list or some information is incorrect, please send mail to the TA:

 

BAINS, KRISTEN JEANNENE        kbains@utk.edu

BUCHANAN, NICHOLAS ASA         nbuchan2@utk.edu

DU, PENG                       pdu@utk.edu

DUENEZ-GUZMAN, EDGAR ALFREDO   eduenezg@utk.edu

GLATTER, MARKUS                mglatter@utk.edu

Mitchel Horton                 mhorton5@utk.edu

LI, ZUOPAN                     zli5@utk.edu

MOLLENHOUR, COLIN MICHAEL      cmollenh@utk.edu

ORSEGA, MICHAEL CAJETAN        morsega@utk.edu

PJESIVAC-GRBOVIC, JELENA       jpjesiva@utk.edu

SARAOGI, MAYANK                msaraogi@utk.edu

SELLERS, CHRISTOPHER LYNN      cseller1@utk.edu

XIA, QIU                       qxia@utk.edu

 

And the course mailing list: cs594parallel-students@cs.utk.edu  

 

 



cover imageBook for the Class: (It should be at the bookstore on Monday 1/16/2006.) There was a mix up and the book is suppose be at the bookstore on 1/20/2006.

 

 

The Sourcebook of Parallel Computing, Edited by Jack Dongarra, Ian Foster, Geoffrey Fox, William Gropp, Ken Kennedy, Linda Torczon, Andy White, October 2002, 760 pages, ISBN 1-55860-871-0, Morgan Kaufmann Publishers.

 

 

 

 

 

 

 

 

Lecture Notes: (Tentative outline of the class)

 

  1. January 11 (Dr. Dongarra)

 Class Introduction

 Introduction to High Performance Computing

 Read Chapter 1, 2, and 9

 Homework 1 (due January 25, 2006)

 Tar file of timer

  1. January 18 (Drs. Fagg and Bosilca)

Message Passing

Additional Slides

MPI quick reference card

Pi example

Homework2 (due February 1, 2006)

Read Chapter 10

  1. January 25 (Drs. Fagg and Bosilca)

Message Passing 2  (updated 1/26/06)

Notes on Homework

Notes on booting over the network

Read Chapter 11

  1. February 1 (Dr. Dongarra)

HPC Architectures and Parallel Programming Considerations

Homework3 (due February 15, 2006)

Read Chapter 3

  1. February 8 ( Drs. Fagg and Bosilca)

Clusters part 1.a

Clusters part 1.b

Homework4 (due February 22, 2006)

Homework5 (Due March 1, 2006)

Code base for HW

  1. February 15 (Drs. Fagg and Bosilca)

Clusters part 2

  1. February 22 (Drs. Fagg and Bosilca)

Clusters part 3

Extra material

  1. March 1 (Drs. Fagg and Bosilca)

Clusters part 4

  1. March 8 (Dr. Dongarra)

Memory Hierarchy and Cache

Homework 6 (Due March 29, 2006)

Read Chapter 3

Toward an Optimal Algorithm for Matrix Multiply

  1. March 15 (Dr. Dongarra)

Matrix Multiply

Dense Linear Algebra part 1

Read Chapter 20, Bailey’s paper on “12 ways to fool …”

Homework 7 (Due April 5, 2006)

March 22 – Spring Break

 

  1. March 29 (Dr. Dongarra)

Dense Linear Algebra (part1, part2, part3)

Read Chapter 20

  1. April 5 (Dr. Dongarra)

Dense Linear Algebra (part3)

Grid Computing

Homework 9 (due April 19, 2006)

Read Chapter 14 pp 409 - 442

  1. April 12 (Dr. Tomov)

Iterative Methods in Linear Algebra (part 1)

Homework See slide 72 of lecture. (due April 26, 2006)

Homework 10 modified, example results, mgs code (due April 26, 2006)

Read Chapter 20 and 21

  1. April 19  (Dr. Langou)

Iterative Methods in Linear Algebra (part 2)

See updates to last weeks homework (April 12)

Read Chapter 21

  1. April 26– Last Class (Dr. Cronk)

Tools for Debugging and Performance Analysis;

Read Chapter 15

  1.  May 3 (Starting at 12:30)

Class Final reports

Order of presentation:

1. Kristen Bains

2. Nick Buchanan

3. Peng Du

4. Edgar A Duenez-Guzman

5. Markus Glatter

6. Mitchel Horton

7. Zuopan Li

8. Colin Mollenhour

9. Michael Orsega

10. Jelena Pjesivac-Grbovic

11. Mayank Saraogi

12. Christopher Sellers

13. Qiu Xia

 

·  Projects reports to be turned in on Monday, May 1st.


Additional Reading Materials


Message Passing Systems.

The PVM home page.


The MPI home page.
This is the best place to get info on MPI from, including implementations and the MPI forum itself.

The implementation that you should use, that is installed on the TORC (Tennessee Oak Ridge Cluster) cluster is MPICH .
A duplex postscript version of the MPI 1.1 API (with thanks to the LAM team) is available. There is also a version of MPI developed here at UTK which has the ability to recover from faults. See: http://icl.cs.utk.edu/ft-mpi/

 


Other useful reference material

 

· Here’s a pointer to specs on various processors: http://www.geek.com/procspec/procspec.htm

http://processorfinder.intel.com/scripts/default.asp

 

 

A good introduction to message passing systems.


J.J. Dongarra, G.E. Fagg, R. Hempl and D. Walker, Chapter in Wiley Encyclopedia of Electrical and Electronics Engineering,. ( postscript version )

``Message Passing Interfaces'', Special issue of Parallel Computing , vol 20(4), April 1994.

A paper by members of the PVM team on the differences between PVM and MPI.

Geist, G.A, J.A. Kohl, P.M. Papadopoulos, `` PVM and MPI: A Comparison of Features '', Calculateurs Paralleles , 8(2), pp. 137--150, June, 1996.

Papers by members of the MPI team on the differences between PVM and MPI.

``Why are PVM and MPI So Different'', William Gropp and Ewing Lusk (submitted to The Fourth European PVM - MPI Users' Group Meeting)

and

``PVM and MPI are completely different'', William Gropp and Ewing Lusk, to appear in the journal Future Generation Computer Systems, 1998.

Ian Foster, Designing and Building Parallel Programs, see http://www-unix.mcs.anl.gov/dbpp/

Alice Koniges, ed., Industrial Strength Parallel Computing, ISBN1-55860-540-1, Morgan Kaufmann Publishers, San Francisco, 2000. Ananth Gramma et al., Introduction to Parallel Computing

Michael Quinn, Parallel Programming, see http://web.engr.oregonstate.edu/~quinn/Comparison.htm

David E. Culler & Jaswinder Pal Singh, Parallel Computer Architecture, see http://www.cs.berkeley.edu/%7Eculler/book.alpha/index.html

George Almasi and Allan Gottlieb, Highly Parallel Computing

 

 


Standard Books on Message Passing

``MPI - The Complete Reference, Volume 1, The MPI-1 Core, Second Edition'',
by Marc Snir, Steve Otto, Steven Huss-Lederman, David Walker, Jack Dongarra, MIT Press, September 1998, ISDN 0-262-69215-5.

``Using MPI,''
by William Gropp, Ewing Lusk, and Anthony Skjellum, published by MIT Press, October 1994; ISBN 0-262-57104-8.

``MPI: The Complete Reference - 2nd Edition: Volume 2 - The MPI-2 Extensions'',
by William Gropp, Steven Huss-Lederman, Andrew Lumsdaine, Ewing Lusk, Bill Nitzberg, William Saphir, and Marc Snir, published by The MIT Press, September, 1998; ISBN 0-262-57123-4.


On-line Documentation and Information about Machines

·         Overview of Recent Supercomputers, Aad J. van der Steen and Jack J. Dongarra, 2005.

 

·         Catalog of Commercial Hardware and Software Vendors

 

Other Parallel Information Sites

·  NHSE - National HPCC Software Exchange

·  Netlib Repository at UTK/ORNL

·  BLAS Quick Reference Card

·  LAPACK

·  ScaLAPACK

·  GAMS - Guide to Available Math Software

·  Center for Research on Parallel Computation (CRPC)

·  Supercomputing & Parallel Computing: Conferences

·  Supercomputing & Parallel Computing: Journals

·  High Performance Fortran (HPF) reports

·  High Performance Fortran Resource List

·  Fortran 90 Resource List

·  Major Science Research Institutions from Caltech

·  Message Passing Interface (MPI) Forum

·  High Performance Fortran Forum

·  OpenMP

·  PVM

·  Parallel Tools Consortium

·  DoD High Performance Computing Modernization Program

·  DoE Accelerated Strategic Computing Initiative (ASCI)

·  National Computational Science Alliance


Related On-line Textbooks

·  Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods, SIAM Publication, Philadelphia, 1994.

·  PVM - A Users' Guide and Tutorial for Networked Parallel Computing, MIT Press, Boston, 1994.

·  MPI : A Message-Passing Interface Standard

·  LAPACK Users' Guide (Second Edition), SIAM Publications, Philadelphia, 1995.

·  MPI: The Complete Reference, MIT Press, Boston, 1996.

· Using MPI: Portable Parallel Programming with the Message-Passing Interface by W. Gropp, E. Lusk, and A. Skjellum

·  Parallel Computing Works, by G. Fox, R. Williams, and P. Messina (Morgan Kaufmann Publishers)

·  Computational Science Education Project

·  Designing and Building Parallel Programs. A dead-tree version of this book is available by Addison-Wesley.

·  High Performance Fortran (HPF), a course offered by Manchester and North High Performance Computing Training & Education Centre, United Kingdom

For performance analysis:

·  Raj Jain, The Art of Computer Systems Performance Analysis. John Wiley, 1991.

Papers on performance analysis tools:

·  Ruth A. Aydt, "The Pablo Self-Defining Data Format," November 1997, click here.

·  Jeffrey K. Hollingsworth, Barton P. Miller, Marcelo J. R. Gongalves, Oscar Naim, Zhichen Xu and Ling Zheng, "MDL: A Language and Compiler for Dynamic Program Instrumentation", International Conference on Parallel Architectures and Compilation Techniques, San Francisco, CA, November 1997, click here.

·  Barton P. Miller, Mark D. Callaghan, Jonathan M. Cargille, Jeffrey K. Hollingsworth, R. Bruce Irvin, Karen L. Karavanic, Krishna Kunchithapadam and Tia Newhall. "The Paradyn Parallel Performance Measurement Tools", IEEE Computer 28(11), (November 1995). click here.

·  Steven T. Hackstadt and Allen D. Malony, "Distributed Array Query and Visualization for High Performance Fortran, February 1996.

·  Jerry Yan and Sekhar Sarukkai and Pankaj Mehra, "Performance Measurement, Visualization and Modeling of Parallel and Distributed Programs using the AIMS toolkit", Software Practice and Experience 25(4), April 1995, 429--461

 

Other Online Software and Documentation

·  Matlab documentation is available from several sources, most notably by typing ``help'' into the Matlab command window. A primer (for version 4.0/4.1 of Matlab, not too different from the current version) is available in either postscript or pdf.

·  Netlib, a repository of numerical software and related documentation

·  Netlib Search Facility, a way to search for the software on Netlib that you need

·  GAMS - Guide to Available Math Software, another search facility to find numerical software

·  Linear Algebra Software Libraries and Collections

·  LAPACK, state-of-the-art software for dense numerical linear algebra on workstations and shared-memory parallel computers. Written in Fortran.

·  CLAPACK, a C version of LAPACK.
(For a partial C++ version, see LAPACK++ on Roldan Pozo's homepage)

·  LAPACK Manual

·  ScaLAPACK, a partial version of LAPACK for distributed-memory parallel computers.

·  ScaLAPACK manual

·  LINPACK and EISPACK are precursors of LAPACK, dealing with linear systems and eigenvalue problems, respectively.

·  SuperLU is a fast implementations of sparse Gaussian elimination for sequential and parallel computers, respectively.

·  Sources of test matrices for sparse matrix algorithms

·  Matrix Market

·  University of Florida Sparse Matrix Collection

·  Templates for the solution of linear systems, a collection of iterative methods, with advice on which ones to use. The web site includes on-line versions of the book (in html and postscript) as well as software.

·  Templates for the Solution of Algebraic Eigenvalue Problems is a survey of algorithms and software for solving eigenvalue problems. The web site points to an html version of the book, as well as software.

·  Updated survey of sparse direct linear equation solvers, by Xiaoye Li

·  MGNet is a repository for information and software for Multigrid and Domain Decomposition methods, which are widely used methods for solving linear systems arising from PDEs.

·  Resources for Parallel and High Performance Computing

·  Millennium a UC Berkeley campus-wide parallel computing resource

·  Resources for CS 267, Applications of Parallel Computers

·  ACTS (Advanced CompuTational Software) is a set of software tools that make it easier for programmers to write high performance scientific applications for parallel computers.

·  PETSc: Portable, Extensible, Toolkit for Scientific Computation

·  NHSE - National High Performance Computing and Communications Software Exchange, pointers to related work across the country.

·  Issues related to Computer Arithmetic and Error Analysis

·  Efficient software for very high precision floating point arithmetic

·  Notes on IEEE Floating Point Arithmetic, by Prof. W. Kahan

·  Other notes on arithmetic, error analysis, etc. by Prof. W. Kahan

·  Report on arithmetic error that cause the Ariane 5 Rocket Crash

·  The IEEE floating point standard is currently being updated. To find out what issues the standard committee is considering, look here.

 

Jack Dongarra
4/25/2006