Contents Organizers and Instructors Rationale Description Level of Material Course Objectives Who Should Attend Recommended Background Instructors Additional Information Program Locations How to Register Questions? E-mail [email protected]   SIAM Conferences

Organizers and Instructors Satish Balay, William Gropp, Lois Curfman McInnes, and Barry Smith, Mathematics and Computer Science Division, Argonne National Laboratory Rationale The development of application codes to simulate physical phenomena is complex, time-consuming, and requires specialized expertise. Developing parallel codes from scratch is often beyond the resources of any individual or small team. The PETSc toolkit provides a rich set of data structures and algorithms to ease the development of scalable PDE-based simulation codes. PETSc provides, not only a variety of parallel linear and nonlinear algebraic solvers, but, also much of the software infrastructure to manage the grid data structures without requiring one to program explicitly in MPI. Description This course introduces and motivates the organization and use of PETSc for the parallel solution of PDEs. Level of Material Introductory 30% Intermediate 40% Advanced 30% Course Objectives Attendees will be able to write parallel codes using PETSc. Who Should Attend Scientists, engineers, and mathematicians who are interested in the large-scale solution of PDEs. Recommended Background The attendee should have experience in programming in Fortran, C, or C++ and knowledge and experience in the numerical solution of PDEs. Experience with MPI or parallel computing is desirable but not necessary. Instructors Satish Balay received his Masters in Computer Science from Old Dominion University in 1995. William Gropp received his Ph.D. in Computer Science from Stanford University in 1982. Lois Curfman McInnes received her Ph.D. in Applied Mathematics from the University of Virginia in 1993. Barry Smith received his Ph.D. in Mathematics from New York University in 1990. All four have extensive experience in parallel programming for numerical computations. PETSc was begun in 1991 by Gropp and Smith, version 2.0 has been continuously supported since June 1995 and has been used in a variety of parallel application codes. Additional Information The PETSc software package is freely available from http://www.mcs.anl.gov/petsc. Program Morning 8:00 Registration 9:00-10:00 Introduction What problems is PETSc intended to solve? Sample results from PETSc application codes 10:00-10:30 Coffee 10:30-12:30 Field and grid data management Structured grid codes Unstructured grid codes Afternoon 12:30-2:00 Lunch 2:00-3:30 Solvers Assembling Jacobian matrices Nonlinear solvers Linear solvers ODE solvers 3:30-4:00 Coffee 4:00-5:30 Putting it all together Profiling/performance tuning Debugging 5:30 Short course adjourns Location The short course on PETSc will take place in Executive Salon 1 on the third floor. Coffee breaks will be in Lobby, third floor and lunch will be in the Rose Garden Room. How to Register Seats are limited. We urge short course participants to register in advance. To register, please complete the Preregistration Form online and send it with your payment to reach SIAM office on or before March 3, 1999. Registration fee for the short course includes: course notes, final program and abstracts, coffee breaks, and lunch on Sunday, March 21.

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