Course Name:

Course Title: Special Topics in Grid Enablement of Scientific Applications

Prerequisite:

Admission to the Global CyberBridges fellowship program (see www.cyberbridges.net for application information) OR permission of the instructor.
Familiarity with sequential programming in at least one of the major programming languages such as C, C++, Java, FORTRAN, and the like.

Course Description:

Fundamental principles and applications of high-performance computing and parallel programming using OpenMP, MPI, Globus Toolkit, Web Services, and Grid Services.

Course Objectives:

Students in scientific disciplines (including, but not restricted to, Physics, Computational Chemistry, Biology, and Meteorology) will learn the fundamentals of high-performance computing, parallel programming, and developing large-scale scientific applications using cluster and grid computing technologies.

Topics:

HPC Concepts:

Concurrency: Concurrent, Parallel, Distributed, Reasons, and History.
Concurrent Computers: Within a CPU, a “box”, or Boxes, and Taxonomy.
Process: Partitioning, Communication, Agglomeration, and Mapping.
Performance: Benchmarks, Speedup, Amdahl’s Law, Profiling.

HPC Hardware, Software,:

Cluster Computing: Hardware (Architecture, Planning, Installation) and Software (Rocks, MPICH).
Grid Computing: Standards (OGSA, OGSI, WSRF) and Toolkits (GT4, GSI, GRAM, MPICH-G2, and Condor).

HPC Programming:

Cluster Programming: Open MP and MPI
Grid Programming: Globus Toolkit, Web Services and Grid Services

Required Textbook

N/A

References:

The Grid 2: Blueprint for a New Computing Infrastructure (The Morgan Kaufmann Series in Computer Architecture and Design) by Ian Foster, Carl Kesselman.
Designing and Building Parallel Programs: Concepts and Tools for Parallel Software Engineering by Ian Foster.

Available online at URL: http://www-unix.mcs.anl.gov/dbpp/

High Performance Linux Clusters with OSCAR, Rocks, OpenMosix, and MPI By Joseph D. Sloan, First Edition November 2004.
Globus® Toolkit 4: Programming Java Services (The Morgan Kaufmann Series in Networking), by Borja Sotomayor, Lisa Childers.
Kevin Dowd et.al, "High Performance Computing", O'Reilly Press
Wiliam Gropp et.al, "Using MPI Portable Parallel Programming with the Message-Passing Interface", MIT Press
Thomas Sterling, "Beowulf Cluster Computing with Linux", MIT Press
Computer Networks, 4th Edition, by Andrew S. Tanenbaum, Prentice Hall (ISBN: 0130661023).

Other reading material: Class notes.

Grading Policy:

Class Attendance and Participation: 10%.
Class Presentation: 10%.
Project: 40%.
Technical Paper: 40%.

Grading Standard: The grading scale is: A: 90 | A-:87 | B+:84 | B: 80 | B-:77 | C+:74 | C: 70 | C-:65 | D+:60 | D: 55 | D-:50. Note that a B- is not a B.

Attendance: Attendance may be taken during each class meeting.

University Calendar:

For more information, please consult the university calendar at: http://www.fiu.edu/~register/calendars.htm

Policy on Make-up Examinations and Assignments: There will be no make-up exams. All project deliverables and assignments should be submitted at the beginning of class on the due date. The only excuse for missing an exam is verifiable cases of illness and emergencies and religious holy days. Please check the dates of the exams and inform me of any conflicts with religious holy days as soon as possible.

Code of Academic Integrity:

http://www.fiu.edu/~oabp/misconductweb/2codeofacainteg.htm

University Policies: academic misconduct, sexual harassment, religious holydays, and information on services for students with disabilities.

http://www.fiu.edu/provost/polman/sec2/sec2web2-44.htm

http://www.fiu.edu/~eop/EOPSexH.pdf

http://www.fiu.edu/~provost/polman/sec19web.html

Last modified 1/15/2008