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- 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)
- Webinar 2018 Harnessing the Power of Heterogeneous Computing using Boost.Compute + OpenCL (11:10, 11 March 2021)
- Webinar 2018 Visual Studio Code – Your Next Coding Companion for Advanced Research Computing (11:11, 11 March 2021)
- Webinar 2017 Introduction to Eclipse for debugging – Part I (11:11, 11 March 2021)
- Webinar What’s new and exciting about Graham’s GPU (11:12, 11 March 2021)
- Webinar 2017 Automating Software Build Process using CMake – Part II (11:12, 11 March 2021)
- Webinar 2016 What Happened to My Job? Cluster Scheduling In Detail (11:12, 11 March 2021)
- Webinar 2016 Introduction to The Unix Shell – Automating Your Work (11:13, 11 March 2021)
- Webinar 2016 Raphaël – a vector graphics library for web development (11:13, 11 March 2021)
- Webinar 2015 Parallel programming without MPI – Using coarrays in Fortran (11:14, 11 March 2021)
- Webinar 2015 Programming with Wt - a C++ library for developing stateful and highly interactive web applications (11:14, 11 March 2021)
- Webinar 2014 Advanced Message Passing in MPI: Using MPI Datatypes with Opaque C++ Types (11:15, 11 March 2021)
- Webinar 2014 My code doesn’t crash -- why should I still use Valgrind (11:15, 11 March 2021)
- Webinar demo (11:25, 11 March 2021)
- New user seminar (13:57, 11 March 2021)
- Summer School Courses (10:52, 12 March 2021)
- Webinar 2021 Generating interactive visualizations with Plotly on Graham (11:03, 16 March 2021)
- Webinar 2014 Linear Algebra on GPU (11:17, 16 March 2021)
- Webinar 2014 Profiling MPI codes with Allinea's MAP (11:19, 16 March 2021)
- Webinar 2013 Why Would I Use GPUs? (11:25, 16 March 2021)
- Webinar 2015 High Performance Computing with Python (11:28, 16 March 2021)
- Webinar 2018 Summer School preview (11:34, 16 March 2021)
- Webinar 2021 Scalable Memory Allocation for Parallel Algorithms (09:28, 18 March 2021)
- Porting CUDA to OpenCL (13:45, 18 March 2021)
- Wiki tips and hints (13:46, 18 March 2021)
- Serial farming on Graham (15:07, 18 March 2021)
- Parallel Debugging with DDT (15:26, 18 March 2021)
- Webinar 2021 FauxConda: ways to use Conda without conda (16:35, 24 March 2021)
- Webinar 2021 An Update on ADF/AMS software on Graham (08:53, 9 April 2021)
- Webinar 2021 Debugging your code with DDT (12:37, 22 April 2021)
- Webinar 2021 Learning from competition (10:58, 17 June 2021)
- Webinar 2021 DIY Local Program Installation (10:59, 17 June 2021)
- Webinar 2021 Hybrid MPI (12:17, 17 August 2021)
- Webinar 2021 Git Part 2 – Common Git Commands (12:23, 17 August 2021)
- Webinar 2021 Comparing CPU, GPU, memory, interconnect and filesystem performance across National systems (12:23, 17 August 2021)
- Hyper-Q / MPS (13:04, 2 September 2021)
- Dusky (13:19, 2 September 2021)
- SSH (12:40, 3 September 2021)
- Webinar 2021 Introduction to Eclipse, Part 2 - Developing and debugging MPI code (10:43, 9 September 2021)
- Webinar 2021 ROCm: AMD's platform for GPU computing (13:58, 24 September 2021)
- Webinar 2021 META: running a large number of jobs conveniently (15:41, 7 October 2021)
- Webinar 2021 Scaling Hyperparameter Tuning with Dask-ML on Clusters (16:28, 21 October 2021)
- Webinar 2021 Running machine learning example (MNIST) on multi-cores/nodes in Graham (14:26, 8 November 2021)
- Webinar 2021 The Layered Grammar of Graphics (gglot2/plotnine) (14:04, 18 November 2021)
- Webinar 2021 The Layered Grammar of Graphics (ggplot2/plotnine) (16:22, 18 November 2021)
- Yeats (19:28, 2 December 2021)
- Webinar 2021 (17:54, 16 December 2021)
- Webinar 2021 Tips for identifying when job wait times can be reduced by job submission parameter changes (17:55, 16 December 2021)
- Webinar 2021 Introduction to Eclipse Part 3 - Debugging MPI code (17:20, 17 December 2021)
- Attending SHARCNET Webinars (11:45, 26 January 2022)
- Webinar 2022 Remote Development on Clusters with VSCode (14:10, 10 February 2022)
- Webinar 2022 From histograms to dashboards: An introduction to data visualization with Python (14:11, 10 February 2022)
- Webinar 2022 Conquering the Scheduler (14:11, 10 February 2022)
- Webinar 2022 Gaussian16 and NBO7 on Graham and Cedar (10:58, 17 March 2022)
- Webinar 2022 More Options for Solving Jobs with Many Tasks (10:58, 17 March 2022)
- Webinar 2022 Using Tensorboard to debug and profile neural network models (08:45, 24 March 2022)
- Webinar 2022 Apptainer (09:10, 8 April 2022)
- Webinar 2022 Demystifying Web Portals (14:21, 5 May 2022)
- Webinar 2022 10 ways to optimize your workflow (14:24, 5 May 2022)
- Webinar 2022 Profiling GPU codes with Nsight (12:12, 19 May 2022)
- Webinar 2022 Speeding up Python code with Numba (15:42, 1 June 2022)
- Webinar 2022 Realtime display with Gnuplot (09:14, 16 June 2022)
- Webinar 2022 Running PyTorch codes with multi-GPU/nodes on national systems (10:51, 13 July 2022)
- Webinar 2022 Working with Jupyter on Clusters (10:34, 15 July 2022)
- Webinar 2022 Debugging with ParaView (09:39, 23 August 2022)
- Webinar 2022 Visualizing job properties for wait time assessment (09:39, 23 August 2022)
- Webinar 2022 Remote Development on Clusters with VSCode - Part II (09:37, 12 September 2022)
- Webinar 2022 Creating and Distributing Python Packages (10:06, 22 September 2022)
- Webinar 2022 Transfer Learning with Tensorflow Hub (15:23, 11 October 2022)
- Training (10:00, 18 October 2022)
- Webinar 2022 Strategies For Managing Filesystem Quotas (14:19, 21 October 2022)
- Resolving UWindsor Internet Connectivity Issues (16:00, 5 November 2022)
- Webinar 2022 Video Editing with KDEnLive (11:27, 18 November 2022)
- Webinar 2022 Profiling & Performance Tuning CPU Programs (11:27, 18 November 2022)
- Webinar 2021 Pandas Recipes for New Python Users (13:53, 23 November 2022)
- Webinar 2022 Deploying a simple Express.js Web App (09:33, 1 December 2022)
- Webinar 2022 Which GPU should I use? (10:51, 14 December 2022)
- Colloquium 2023 An introduction to MPLAPACK, a multi-precision linear algebra library (14:15, 16 December 2022)
- Colloquium 2023 Performance: current and upcoming systems (13:18, 19 December 2022)
- Colloquium 2023 How Research Data Management (RDM) Intersects with ARC and Why Should I Care? (13:50, 20 December 2022)
- Colloquium 2023 Accelerated DataFrame with Dask-cuDF on multiple GPUs (11:44, 20 January 2023)
- Colloquium 2023 plotnine: R's Grammar of Graphics in Python (13:11, 21 February 2023)
- Colloquium 2023 Before and after submitting Octave/Matlab jobs on the clusters (09:47, 16 March 2023)
- Colloquium 2023 Running MATLAB on Alliance's Clusters (09:56, 16 March 2023)
- Colloquium 2023 MATLAB on Alliance's Clusters (11:28, 22 March 2023)
- Colloquium 2023 CUDA, ROCm, oneAPI – All for One or One for All? (11:07, 24 April 2023)
- Colloquium 2023 Modern Approaches to Profiling in Python with Scalene (12:08, 3 May 2023)
- Colloquium 2023 Contrastive learning (12:09, 3 May 2023)
- Colloquium 2023 C++ Parallel Algorithms and Multidimensional Arrays (09:41, 24 May 2023)
- Colloquium 2023 Leveraging the power of Linux on Windows with WSL (14:49, 14 July 2023)
- Colloquium 2023 DIY job monitoring, from cache misses to CO2 footprint (15:43, 21 July 2023)
- Colloquium 2023 Automating scientific workflows with AiiDA (09:15, 26 July 2023)
- Colloquium 2023 Parallel computing: start from your own computer (11:44, 26 July 2023)
- Colloquium 2023 Data Wrangling with Tidyverse (14:06, 1 September 2023)
- Colloquium 2023 Advanced Container Use on Clusters and Personal Computers (14:07, 1 September 2023)
- Colloquium 2023 Exploring job wait times on Alliance compute clusters: a holistic view (12:06, 29 September 2023)
- Colloquium 2023 p2rng – A C++ Parallel Random Number Generator Library for the Masses (12:04, 6 October 2023)
- Colloquium 2023 Generalized End to End Python and Neuroscience Workflows on a Compute Cluster (10:49, 31 October 2023)
- Colloquium 2023 Squeeze more juice out of a single GPU in deep learning (10:51, 31 October 2023)
- Colloquium 2023 Skorch: Training PyTorch models with scikit-learn (10:48, 27 November 2023)
- Land acknowledgments (10:33, 29 November 2023)
- No colloquium (09:44, 13 December 2023)
- Colloquium 2024 False Sharing and Contention in Parallel Codes (17:22, 21 December 2023)
- Colloquium 2024 Introduction to GPU programming with OpenMP (12:19, 27 December 2023)
- Graham Reference Dataset Repository (14:10, 22 January 2024)
- Colloquium 2024 MySQL Part 2: Constraints and Joins (14:38, 7 February 2024)
- Colloquium 2024 MySQL Part 3: Constraints and Joins (14:39, 7 February 2024)
- Colloquium 2024 Debugging your code with DDT (12:44, 19 February 2024)
- Colloquium 2024 Make: obsolete or elegant? (12:19, 13 March 2024)
- UWO Deliveries (15:17, 21 March 2024)
- Colloquium 2024 Accelerating Graph Analysis on GPUs (12:14, 27 March 2024)
- Colloquium 2024 Accelerating data analytics with RAPIDS cuDF (12:22, 10 April 2024)
- Colloquium 2024 Data Wrangling with Tidyverse (part 2) (14:08, 2 May 2024)
- Colloquium 2024 Compute Ontario Summer School 2024 (14:26, 2 May 2024)
- Advanced research computing in Julia (14:28, 2 May 2024)
- FAQ (11:27, 8 May 2024)
- General Interest Seminars (13:53, 8 May 2024)
- Online Seminars (10:32, 9 May 2024)
- Summer Schools (13:19, 15 May 2024)