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Table of Contents
HPC School and Competition 26 June to 2 July 2016 Port Elizabeth
Nelson Mandela Metropolitan University (NMMU)
About
The HPC Winter School is the CHPC's flagship course in parallel programming for high performance computing covering:
- Introduction to high performance computing hardware, systems and techniques
- Multi-core programming with OpenMP
- Using message passing (MPI) on cluster super computers
- High performance co-processors
- Rapid prototyping for HPC with python
APPLICATION
- Applications for The 2016 HPC Winter School are closed.
Programme Overview
Note: Times changed.
| Sun 26 Jun | Monday 27 Jun | Tuesday 28 Jun | Wednesday 29 Jun | Thursday 30 Jun | Friday 1 Jul | Saturday 2 Jul | |
|---|---|---|---|---|---|---|---|
| 08:00 | Registration | breakfast* from 08:00 to 09:00 | Evaluation 1 | ||||
| 09:30 | Lecture 1 | Lecture 3 | Lecture 5 | Lecture 7 | Lecture 9 | break | |
| 11:00 | break | Evaluation 2 10:00–11:30 Departures from 12:00 |
|||||
| 11:30 | Lecture 2 | Lecture 4 | Lecture 6 | Lecture 8 | Lecture 10 | ||
| 13:00 | Lunch at NMMU Conference Centre | Lunch | |||||
| 14:00 | Practical 1 | Practical 3 | Practical 5 | Practical 7 | Practical 9 | Evaluation 3 | |
| 15:30 | break | Departures | |||||
| 16:00 | Arrivals | Practical 2 | Practical 4 | Practical 6 | Practical 8 | Practical 10 | Evaluation 4 |
| 17:30 | end of day | ||||||
| 18:00 | dinner* from 18:00 to 20:00 | ||||||
*Note: Breakfast and dinner only for delegates staying in Protea residence.
HPC School in Parallel Programming
Lectures 1 & 2
Foundation: Introduction to HPC architectures and systems. The Linux programming environment. Job submission and control.
Lectures 3 & 4
OpenMP: Programming shared memory (SMP) systems with OpenMP.
Lectures 5 & 6
MPI part I: Parallel programming with the message passing library (MPI) for distributed memory systems.
Lectures 7 & 8
MPI part II: Design of parallel programs for clusters. Advanced MPI features including parallel IO and hybrid programming.
Lectures 9 & 10
Accelerators: HPC programming on Nvidia GPUs with CUDA.
Evaluation
A short practical test.
Student Cluster Compeitition
Lectures 1 & 2
Lectures 3 & 4
Lectures 5 & 6
Lectures 7 & 8
Lectures 9 & 10
Evaluation
Note: each team is evaluated, and some teams will have their evaluation after lunch.
