Introduction to High Performance Computing
Tuesday, May 9, 10:30 a.m.-12 p.m.
This core session is designed to help new users at ACENET and Digital Research Alliance of Canada get up and running.
What is High Performance Computing (HPC) and what can it do for me? How can ACENET help? Used by researchers across many disciplines to tackle analyses too large or complex for a desktop, or to achieve improved efficiency over a desktop, this session takes participants through the preliminary stages of learning about high performance computing (HPC) and computing clusters, and how to get started with this type of computing. It then reviews software packages available for applications, data analysis, software development and compiling code. Finally, participants will be introduced to the concept of parallel computing to achieve much faster results in analysis. This session is designed for those with no prior experience in HPC, and are looking for an introduction and overview.
This session will be delivered online.
To get the most from ACENET basics, please register for a Digital Research Alliance of Canada (the Alliance) account. To register contact your supervising professor, ask for their CCRI, then visit https://ccdb.computecanada.ca/account_application. If your professor is not registered with the Alliance, please have them register, then follow up with you. In addition to an Alliance account, you will want a computer with Windows, MacOS X, or a Unix-based operating system (not a ChromeBook), and a stable internet connection. A registered account is not mandatory, just recommended to get the most out of our lessons. You can attend the first session to see how ACENET can assist in accelerating your computational research before you decide to obtain an account, if you wish.
Participants must register using their institutional / organizational email address (not a personal email, ie. gmail).
Connections details for the session as well as further preparation information will be sent out prior to the session.
Presented by ACENET