HPC Workshop 2015

NOTE: This is an archived version of the content presented in the 2015 HPC workshop and may not represent the most up-to-date practices.

Day 1

Introduction to Tulane computing resources

• High Performance Computing at Tulane

Working on a remote Unix/Linux system

• SSH, terminal software
• Unix/Linux commands
• File Editing Software
• File transfer to/from your desktop/laptop
• Working on a remote Unix/Linux Cluster
• Module command
• How to submit a job
• Running interactive jobs (idev)

How to run a Matlab code on Cypress

• Running Matlab interactively using idev
• Running Matlab jobs using SLURM scripts
• Parallel Matlab

How to run R code on Cypress

• Running R on Cypress

How to run Python Cypress

• Running Python on Cypress

Day 2

Coding

• Programing in C/C++/Fortran
• Parallel Computing Overview
• Shared Memory
• Distributed Memory

• Programing in C/C++/Fortran
• Parallel Computing Overview
• Shared Memory
• Distributed Memory

Version control

• svn
• git

• svn
• git

Compilation, debugging, and optimization

• Makefiles
• Code Debugging
• Code Profiling
• gdb
• valgrind
• Intel Parallel Studio XE (Inspector, Advisor, and Vtune)

• Makefiles
• Code Debugging
• Code Profiling
• gdb
• valgrind
• Intel Parallel Studio XE (Inspector, Advisor, and Vtune)

Math Libraries

• BLAS
• LAPACK
• MKL

• IntroToHpc2015/BLAS
• LAPACK
• MKL

Intel’s Xeon Phi Coprocessor

• Review of Hardware from previous day
• Three usage paradigms
• Programming considerations

• Review of Hardware from previous day
• Three usage paradigms
• Programming considerations

Data Visualization

• VisIt
• Visualization Toolkit (VTK)

• VisIt
• Visualization Toolkit (VTK)