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- Webinar 2016 Debugging OpenMP programs (16:09, 16 March 2016)
- Webinar 2016 How to get started with OpenFOAM at SHARCNET (15:30, 1 April 2016)
- Webinar 2016 Quick tips for getting the most out of SHARCNET (10:58, 18 April 2016)
- Webinar 2016 Deep Learning at SHARCNET: Tools you can use (15:10, 2 May 2016)
- Webinar 2016 Git and SHARCNET (11:39, 16 May 2016)
- Webinar 2016 Introduction to Apache Spark on SHARCNET (10:46, 14 June 2016)
- Webinar 2015 The Relevance of OpenCL to HPC (10:36, 14 July 2016)
- Webinar 2015 Programming, best practices (10:49, 14 July 2016)
- Webinar 2016 Hybrid MPI and OpenMP Parallel Programming (13:05, 20 July 2016)
- Webinar 2016 Introduction to MPI - Part III (15:37, 3 August 2016)
- Webinar 2016 Introduction to Jupyter (10:11, 25 August 2016)
- Webinar 2015 A brief look at numerical libraries: The tools you can use (09:29, 30 August 2016)
- Webinar 2015 An Update on MATLAB at SHARCNET (09:30, 30 August 2016)
- Webinar 2015 Exploring a new approach to package management (09:37, 30 August 2016)
- Webinar 2015 Get the most out of SharcNET (09:45, 30 August 2016)
- Webinar 2015 Hybrid MPI and OpenMP Parallel Programming (10:26, 30 August 2016)
- Webinar 2015 Debugging and profiling of MPI programs (10:26, 30 August 2016)
- Webinar 2015 Introduction to Parallel I/O (10:28, 30 August 2016)
- Webinar 2016 Introduction to Python (11:46, 2 November 2016)
- Webinar 2016 Debugging CUDA programs (13:16, 16 November 2016)
- Webinar 2016 Defensive Programming : Best Practices (16:57, 12 December 2016)
- Webinar 2017 Introduction to ParaView (10:38, 12 January 2017)
- Webinar 2017 Navigating the Research Computing Resource Renewals Coming in 2017 (14:34, 19 January 2017)
- Webinar 2017 Deep Learning on SHARCNET: Best Practices (17:27, 2 February 2017)
- Webinar 2017 Git and SHARCNET (part 2) (15:35, 24 February 2017)
- Webinar 2017 Machine Learning with Spark at SHARCNET (13:08, 6 March 2017)
- Webinar 2014 Running MATLAB in SHARCNET (12:14, 7 March 2017)
- Webinar 2017 High Performance Computing with Python (11:29, 20 March 2017)
- Webinar 2017 Modern Fortran: Concurrency and Parallelism (16:17, 20 April 2017)
- Webinar 2017 OpenMP 4.x: New features and Protocols (13:21, 12 June 2017)
- Webinar 2017 Train models to recognize hand-written digits using Tensorflow (16:40, 5 July 2017)
- Webinar How jobs are scheduled to run on Graham and Cedar (10:47, 24 July 2017)
- Webinar 2017 Intel MPI Library Cluster Edition on Graham (15:36, 12 September 2017)
- Webinar 2017 Partitions and scheduling, running jobs effectively on Graham and Cedar (16:49, 19 September 2017)
- Webinar 2017 Training Neural Networks with hundreds of GPUs on Graham and Cedar (14:15, 21 September 2017)
- Webinar 2017 Introduction to SHARCNET Cloud (15:00, 28 September 2017)
- Webinar 2017 Linear Algebra on GPU (10:57, 16 October 2017)
- Webinar 2017 Packaging with Nix (12:32, 20 October 2017)
- Webinar 2017 Machine Learning using Jupyter Notebooks on Graham (11:11, 2 November 2017)
- Webinar 2017 Introduction to LINUX/SHELL programming in SHARCNET (17:35, 10 November 2017)
- Webinar 2017 Serial farming on Graham (11:17, 30 November 2017)
- Webinar 2018 Intro to Intel Performance Tools (17:12, 18 January 2018)
- Webinar 2018 Deploying a Full Stack Web Solution on the Cloud for Cluster Access (17:01, 1 February 2018)
- Webinar 2018 Singularity (17:29, 22 February 2018)
- Webinar 2018 Using SSH for Good, not Evil (13:51, 20 March 2018)
- Webinar 2014 Managing your files effectively at SHARCNET with SVN (10:15, 6 May 2019)
- Webinar 2018 Improving your Python programs with NumPy and SciPy (13:55, 8 May 2019)
- Webinar 2019 PRE and POST production on Graham (16:01, 13 May 2019)
- Webinar 2019 Exploring Octave package dataframe (16:01, 13 May 2019)
- Webinar 2019 Introduction to parallel programming with MPI and Python (16:02, 13 May 2019)
- Webinar 2019 Best practices on Graham (16:02, 13 May 2019)
- Webinar 2019 The Monad Understanding Hurdle (16:02, 13 May 2019)
- Webinar 2018 Code profiling on Graham (16:05, 13 May 2019)
- Webinar 2018 Fundamentals of working at the command line at Graham (16:06, 13 May 2019)
- Webinar 2018 Debugging on Graham with DDT (16:06, 13 May 2019)
- Webinar 2018 Introduction to MySQL on Graham (16:06, 13 May 2019)
- Webinar 2018 Concurrent File I/O by Multiple Processes (16:06, 13 May 2019)
- Webinar 2018 The Benefits of GLOST for Many Jobs (16:06, 13 May 2019)
- Webinar 2018 Understand (and potentially reduce) job wait times (16:06, 13 May 2019)
- Webinar 2018 Stock Prediction Using Recurrent Neural Network (16:06, 13 May 2019)
- Webinar 2018 Using MATLAB effectively on Graham and Cedar (16:07, 13 May 2019)
- Webinar 2018 MySQL Part 2: Relations and Joins (16:07, 13 May 2019)
- Webinar 2018 All about job wait times in the Graham queue (16:12, 13 May 2019)
- Webinar 2018 Using Computational Chemistry software effectively on Graham (16:12, 13 May 2019)
- Webinar 2013 Introduction for Linux Abstract (16:20, 13 May 2019)
- Webinar 2019 Pull your own data into ParaView (11:08, 24 May 2019)
- Webinar 2019 New developments in OpenMP (12:34, 25 May 2019)
- Webinar 2019 Julia - A first perspective (14:14, 18 June 2019)
- Webinar 2019 Using reduced numerical precision on Pascal, Volta and Turing GPUs (10:46, 26 September 2019)
- Webinar 2019 Introduction to scalable computing with Dask in Python (17:02, 9 October 2019)
- Webinar 2019 Leveraging Compiler Optimization Reports (10:55, 25 October 2019)
- Webinar 2019 Using Multiple GPUs in Tensorflow (17:33, 7 November 2019)
- Webinar 2019 Julia: A second perspective (13:18, 2 December 2019)
- Webinar 2019 Docker (14:42, 20 December 2019)
- Webinar 2019 HPC Programming Language Chapel: Base Language Overview (14:43, 20 December 2019)
- Webinar 2020 Singularity 3.5 (11:06, 31 January 2020)
- Webinar 2020 New User Seminar, Part II (14:13, 13 February 2020)
- Webinar 2020 How to run AI programs in Graham (15:39, 28 February 2020)
- Webinar 2020 Julia: A third perspective - parallel computing explained (10:56, 12 March 2020)
- Webinar 2020 Using SSHFS to make CC storage more accessible (10:51, 13 April 2020)
- Webinar 2020 Cython: A First Look (11:30, 16 July 2020)
- Webinar 2020 Visualizing job usage on the Compute Canada systems with the ViewClust Python package (11:30, 16 July 2020)
- Webinar 2020 Collaborative Groups in CUDA (11:34, 16 July 2020)
- Webinar 2020 Bioinformatics in the terminal: Tips and tricks to make your life easier (15:18, 10 September 2020)
- Webinar 2020 Options for Solving Jobs with Many Tasks (15:20, 10 September 2020)
- Webinar 2020 Introduction to HPC Programming Language Chapel: Parallel Approaches (09:02, 22 October 2020)
- Webinar 2020 Preparing for RAC 2021 applications (09:02, 22 October 2020)
- Webinar 2020 Introduction to Git (09:03, 22 October 2020)
- Webinar 2020 Julia: Parallel computing revisited (12:49, 17 February 2021)
- Webinar 2020 NixOS: The second largest and the most up-to-date Linux distribution (12:49, 17 February 2021)
- Webinar 2020 Practical Singularity (12:50, 17 February 2021)
- Webinar 2020 Accelerate Python Analytics on GPUs with RAPIDS (12:52, 17 February 2021)
- Webinar 2021 Programming GPUs with Fortran (12:56, 17 February 2021)
- Webinar 2021 Computing in arbitrary precision (13:01, 17 February 2021)
- Webinar 2021 Using multiple GPUs for Machine Learning (13:03, 17 February 2021)
- Webinar 2020 Is my neural network too big to fit into GPU? (11:06, 11 March 2021)
- Webinar 2020 How to Use C++ Parallel Algorithms in a Distributed Memory Setup (i.e. MPI) (11:07, 11 March 2021)
- Webinar 2019 Dipping into C++17 Parallel Algorithms with Intel's Parallel STL (11:09, 11 March 2021)
- Webinar 2019 What Happened To My Job? (11:09, 11 March 2021)
- Webinar 2018 Using Pseudorandom Number Sequences in C++ (11:10, 11 March 2021)