Webinar (2019-Oct-16) by Chris Want
Webinar (2020-Sep-30) by Alex Razoumov
Webinar (2023-Jan-31) by Marie-Hélène Burle
The programming language R is not known for its speed. However, with some code optimization, R can be used for relatively heavy computations. Additional speedup can be achieved through various parallel techniques, both with multi-threading and distributed computing. This workshop introduces you to working with R from the command line on the Alliance clusters with a focus on performance. We discuss code profiling and benchmarking, various packages for parallelization, as well as using C++ from inside R to speed up your calculations.
(You can also browse some of our Julia programming materials here.)
Webinar (2022-Feb-02) by Alex Razoumov
Webinar (2021-Oct-27) by Marie-Hélène Burle
Designed specifically for HPC and inspired by the Python library Dask, Dagger is a distributed framework with a scheduler built on top of Distributed.jl for efficient parallel and out-of-core execution of tasks represented by a directed acyclic graph (DAG). Dask supports computing with multiple threads, multiple processes, and on GPUs. Checkpoints are easy to create if you need to interrupt and resume computations. Finally, Dagger provides some debugging and runtime profiling tools.
Webinar (2021-Mar-17) by Alex Razoumov and Marie-Hélène Burle
In this webinar, we start with a quick review of Julia’s multi-threading features but focus primarily on Distributed standard library and its large array of tools. We show parallelization using three problems: a slowly converging series, a Julia set, and an N-body solver. We run the examples on a multi-core laptop and an HPC cluster.
Webinar (2020-Mar-04) by Marie-Hélène Burle
Webinar series by Alex Razoumov
In this three-part online webinar series, we introduce the main concepts of the Chapel parallel programming language. Chapel is a relatively new language for both shared- and distributed-memory programming, with easy-to-use, high-level features that make it ideal for learning parallel programming for a novice HPC user.
Unlike other high-level data-processing languages and workflows, the primary application of Chapel is numerical modelling and simulation codes, so this workshop is ideal for anyone who wants to learn how to write efficient large-scale numerical codes.
Webinar (2019-Apr-17) by Alex Razoumov
Webinar (2020-Mar-18) by Alex Razoumov
As part of their contribution to HPC Carpentry, WestGrid staff authored a Parallel programming in Chapel course. The materials and exercises presented in this course can be presented as a full-day workshop. If you have questions about the materials, please contact Alex Razoumov - email@example.com.
Webinar (2018-May-09) by Patrick Mann
Webinar (2019-Oct) by Ali Kerrache
This online workshop explores how to use OpenMP to improve the speed of serial jobs on multi-core machines. We review how to add OpenMP constructs to a serial program in order to run it using multiple cores. Viewers are led through a series of hands-on, interactive examples, focusing on multi-threading parallel programming.
The topics covered include:
View the slides
Webinar (2019-Feb-20) by Tyson Whitehead
Webinar (2018-Oct-31) by Sumit Tandon