Introduction to HPC: Course Work

The summer school course work is provided to students in printed format. Below is the Web version of almost all of that material. Chapters from the upcoming book based on this course, which will be published by Spring, could not, however, be included.

In order of most to least preferred, the material is given in HTML, Adobe Acrobat (.pdf), or compressed postscript (.gz) format. In some cases, you'll find the material in more than one of them.

Table of Contents

• Of General Interest
• Introduction to the PDC Environment (Kerberos, AFS, etc.)
• Scientific Visualization (OpenDX, VR)
• Programming Languages (Python, F90, C++, OpenMP, MPI)
• Computer Architecture
• Performance Engineering (RISC Optimization, Vector)
• Algorithms and Data Structures for Scalable Concurrent Programs
• Case Studies in Scientific Programming (Chemistry, Computational Electromagnetics)

Of General Interest

• The NGSSC program
• How to Do Your Project Work

Introduction to the PDC Environment (Kerberos, AFS, etc.)

• Introduction to the PDC Environment (also in .pdf)
• Getting Acquainted to the PDC Environment (also in .gz), and Lab (also in .gz)

Scientific Visualization (OpenDX, VR)

• Scientific Visualization using OpenDX
• KTH class 2D1257 on Visualization (contains other useful links)
• PDC's VR-CUBE Project

Programming Languages (Python, F90, C++, OpenMP, MPI)

• Python
• F90
• C++
• Shared Memory OpenMP, and Lab (also in HTML by section, .pdf, and .ps)
• MPI Basics and Lab
• MPI Point to Point Communication I and Lab
• MPI Point to Point Communication II and Lab
• MPI Collective Communication I and Lab
• MPI Derived Datatypes and Lab
• MPI Virtual Topologies and Lab
• Additional MPI Example Codes

Computer Architecture

• Computer Architecture I: Hardware (also in .gz), and Lab [Note: last year's material; slides from lecture will be available soon.]
• Computer Architecture II: Architectures of SMP and CC-NUMA (also in .pdf) [Note: last year's material; slides from lecture will be available soon.]

Performance Engineering (RISC Optimization, Vector)

• RISC Optimization, and Lab (also in .pdf) [NOTE: the images in the HTML version of the lab do not currently come out correctly; please refer to your handout or the PDF version.]
• Vector Computers, (no corresponding lab)

Algorithms and Data Structures for Scalable Concurrent Programs

• Parallel Algorithms I
• Parallel Algorithms II
• Methods

Case Studies in Scientific Programming (Chemistry, Computational Electromagnetics)

• Case Study I: Chemistry
• Case Study II: FDTD and Lab