Repository for LAFF-On Programming for High Performance
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Repository for LAFF-On Programming for High Performance In this repository, we are building materials for a Massive Open Online Course (MOOC) titled "LAFF-On Programming for High Performance (LAFF-On-PfHP)." While being developed for the MOOC, the notes and activities can equally well be used for other educational purposes, outside the context of the MOOC. An overview of the planned materials are described in a paper we have submitted to EduPar'18:

Devangi N. Parikh, Jianyu Huang, Margaret E. Myers, Robert A. van de Geijn. Learning from Optimizing Matrix-Matrix Multiplication. EduPar'18. Submitted.

The notes can be found in LAFF-On-HPC.pdf. If you clone the repository, and open that PDF locally from within the directory LAFF-On-HPC, then the links in the PDF should take you to the various activities in the subdirectory Assignments.

If you would like to be kept informed, you may want to join our google gloup:!forum/ulaff-on/join

(Eventually, this directory will be renamed from LAFF-On-HPC, as will the name of the file LAFF-On-HPC.pdf)