Syllabus

Rough Syllabus

Part A: Concepts

(Weeks 1-2)

• Intro to Parallel Computing 
• Parallel machine models
• Parallel programming models

(weeks 4-6)

• Designing Parallel Algorithms
• Partitioning, communication, agglomeration, mapping
• Performance analysis

Part B: Tools

(Weeks 2-4)

• Environment: Unix; vi; QSUB; svn, github?
• Programming: Fortran?
• Programming:  MPI, OpenMP  

(Week 7)

• Debugging, performance analysis
• Analysis: ? IDL? VAPOR? Python?

Part C: Specialty items

(Weeks 8-9)

• GPU, Intel Phi, ...
• Map-Reduce, Hadoop, ...

Part D: Case Studies

(Weeks 9-10)

• Spectral methods; Finite volume; Graphs; N-Body?

Notes:

Parts A and B will be run in parallel over the first 7 weeks or so :)