ACENET: Parallel computing with Graphic Processing Units (GPUs)

Parallel computing is the business of breaking a large problem into tens, hundreds, or even thousands of smaller problems which can then be solved at the same time using a cluster of computers, or supercomputer. It can reduce processing time to a fraction of what it would be on a desktop or workstation, or enable you to tackle larger, more complex problems. It’s widely used in big data mining, AI, time-critical simulations, and advanced graphics such as augmented or virtual reality.

ACENET: Parallel computing with Message Passing Interface (MPI)

Parallel computing is the business of breaking a large problem into tens, hundreds, or even thousands of smaller problems which can then be solved at the same time using a cluster of computers, or supercomputer. It can reduce processing time to a fraction of what it would be on a desktop or workstation, or enable you to tackle larger, more complex problems. It’s widely used in big data mining, AI, time-critical simulations, and advanced graphics such as augmented or virtual reality.

ACENET: Parallel computing with OpenMP

Parallel computing is the business of breaking a large problem into tens, hundreds, or even thousands of smaller problems which can then be solved at the same time using a cluster of computers, or supercomputer. It can reduce processing time to a fraction of what it would be on a desktop or workstation, or enable you to tackle larger, more complex problems. It’s widely used in big data mining, AI, time-critical simulations, and advanced graphics such as augmented or virtual reality.

ACENET: Parallel computing with Dask

Parallel computing is the business of breaking a large problem into tens, hundreds, or even thousands of smaller problems which can then be solved at the same time using a cluster of computers, or supercomputer. It can reduce processing time to a fraction of what it would be on a desktop or workstation, or enable you to tackle larger, more complex problems. It’s widely used in big data mining, AI, time-critical simulations, and advanced graphics such as augmented or virtual reality.

ADaPT Program Information Session

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ACENET: Overview of Parallel Computing

Parallel computing is the business of breaking a large problem into tens, hundreds, or even thousands of smaller problems which can then be solved at the same time using a cluster of computers, or supercomputer. It can reduce processing time to a fraction of what it would be on a desktop or workstation, or enable you to tackle larger, more complex problems. It’s widely used in big data mining, AI, time-critical simulations, and advanced graphics such as augmented or virtual reality.

ACENET Basics: Introduction to Shell Scripting

Shell scripting helps you save time, automate file management tasks, and better use the power of Linux. This session teaches you how to name, locate and set permissions for executable files, taking input and producing output. You will learn about job scripts, shell variables and looping commands.

This workshop is designed for either new HPC users who are familiar with working in a Linux environment, but have not had experience with shell scripting, or for experienced users seeking to get more out of shell scripting.

ACENET Basics: Introduction to Linux

Linux is the terminal interface used to enable you to use the ACENET and the Digital Research Alliance of Canada computing clusters from your desktop. It's the tool you need to get your data on the clusters, run your programs, and get your data back. In this session, learn how to get started with Linux, how to create and navigate directories for your data, load files, manage your storage, run programs on the computing clusters, and set file permissions.

This workshop is designed for those with no prior experience in working with a terminal interface.