Classes: MLH 114 or MLH B5 (computer lab)
Tu-TH 10:55 am - 12:10 pm
Professor: Dr. Suely
Oliveira email: oliveira@cs.uiowa.edu
Office: MLH 101H - phone: 335-0731
Tentative Office hours: Mondays (1:00-2:30) and Thursdays (9:30-11:00)
TA: Sang-Cheol Seok email: sseok@cs.uiowa.edu
Office: MLH 101J - phone: 353-2549
Tentative Office hours: Tuesdays and Fridays 1:00-2:30
I need to hear from anyone who has a disability, which may require some modification of seating, testing or other class requirements so that appropriate arrangements may be made. Please contact me during my office hours.
Prerequisites: There are no prerequisites for this course. Knowledge of a computer language and an undergraduate course in algorithms or linear algebra will be helpful.
Grades : there will be one written exam (30%) , one project (30%) and 3-5 programming assignments (40%). The written exam will be in the middle of the semester based on the parts of the book we cover until then. In the last 3 weeks of the semester we will have project presentations (these can be parallel issues in various areas of research as mentioned next)
Overview: Nowadays High Performance Computing has
almost become a synonym for Parallel Computing. In Scientific
Computing, clusters have replaced high-end scientific
workstations. In this class we cover Parallel Algorithms
ideas and implementation issues for parallel computers or network
of workstations. We will work with tools for writing
parallel portable programs. We will learn theoretical
prediction of performance and verify these with computational
results form applications. The parallel algorithms we cover are from
Computational Linear Algebra or algorithms. Both Sequential and
Paralell versions are introuced in this class. So no prior
knowledge of the algorithms is necessary. Student projects
can include applications in the broad area of scientific computing
(numerical methods, data mining, information retrieval, and
computational biology).
Links/Articles to read or other
references:
NCSA IA64 Linux Cluster
Parallel Programming with MPI
(by Peter Pacheco)
MPI
The Complete Reference (by Snier, Otto, Huss-Lederman, Walker,
Dongarra)
Tutorial on MPI: The Message-Passing Interface (by William Gropp)
"The
Recent Revolution in High-Performance Computing" (by Horst D. Simon)