ACENET Summer School 2023

2023 May 16, 23, 30, June 6, 13

9:30AM - 11:30AM, 1:00PM - 3:00PM ADT (UTC-3)

Instructors: Ross Dickson, Chris Geroux, Gurpreet Matharoo, Serguei Vassiliev, Oliver Stueker

Helpers: (instructors)

This site contains the general information for the 2023 Summer School in Advanced Research Computing, put on by ACENET.

General Information

The ACENET Summer School in Advanced Research Computing seeks to educate researchers in those tools and techniques used in high-performance computing and scientific computation. Topics will include general parallel computing, OpenMP, GPGPU, and MPI programming, and machine learning.

Who: The course is aimed at researchers, both academic and industrial. The background expected is typically that of a graduate student, although both advanced undergraduates and those who have finished (or never been to) graduate school may expect to benefit. Participants attending the school must have familiarity with the Unix command line, and some level of programming experience. Participating in the ACENET Basics Series would be a great foundation for the school.

Requirements: This course will be delivered on-line.

Setup

Zoom

This online training will be conducted using Zoom video conferencing. Please download and install Zoom Client for Meetings.

SSH client

You must have an SSH client installed on your computer, and be able to connect to an Alliance cluster with it.

Contact: Please email ross.dickson@ace-net.ca for more information.


Schedule

Tuesday, May 16

09:30-11:30, 13:00-15:00 Atlantic General Overview
R. Dickson

Tuesday, May 23

09:30-11:30, 13:00-15:00 Atlantic Dask
C. Geroux

Tuesday, May 30

09:30-11:30, 13:00-15:00 Atlantic Open MP
S. Vassiliev

Tuesday, June 6

09:30-11:30, 13:00-15:00 Atlantic MPI Programming
G. Matharoo

Tuesday, June 13

09:30-11:30 Atlantic GPU Programming with CUDA
O. Stueker
13:00-15:00 Atlantic GPU Programming with OpenACC
O. Stueker

Office hours

Instructional staff will be available in the Zoom room between the hours of 10:30 AM and 11:30 AM (Atlantic time) each Friday to answer questions or provide help with exercises or technical issues related to the School.

You may also contact the instructors and request to schedule a meeting at any other time, subject to the instructor's availability.


Syllabus

General parallel computing and working at scale

  • performance measurement, and factors affecting performance
  • I/O and data movement
  • schedulers and “embarrassingly parallel” jobs
  • analyzing performance using a profiler
  • Reference...