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  1. Webinar 2020 Cython: A First Look‏‎ (11:30, 16 July 2020)
  2. Webinar 2020 Visualizing job usage on the Compute Canada systems with the ViewClust Python package‏‎ (11:30, 16 July 2020)
  3. Webinar 2020 Collaborative Groups in CUDA‏‎ (11:34, 16 July 2020)
  4. Webinar 2020 Bioinformatics in the terminal: Tips and tricks to make your life easier‏‎ (15:18, 10 September 2020)
  5. Webinar 2020 Options for Solving Jobs with Many Tasks‏‎ (15:20, 10 September 2020)
  6. Webinar 2020 Introduction to HPC Programming Language Chapel: Parallel Approaches‏‎ (09:02, 22 October 2020)
  7. Webinar 2020 Preparing for RAC 2021 applications‏‎ (09:02, 22 October 2020)
  8. Webinar 2020 Introduction to Git‏‎ (09:03, 22 October 2020)
  9. Webinar 2020 Julia: Parallel computing revisited‏‎ (12:49, 17 February 2021)
  10. Webinar 2020 NixOS: The second largest and the most up-to-date Linux distribution‏‎ (12:49, 17 February 2021)
  11. Webinar 2020 Practical Singularity‏‎ (12:50, 17 February 2021)
  12. Webinar 2020 Accelerate Python Analytics on GPUs with RAPIDS‏‎ (12:52, 17 February 2021)
  13. Webinar 2021 Programming GPUs with Fortran‏‎ (12:56, 17 February 2021)
  14. Webinar 2021 Computing in arbitrary precision‏‎ (13:01, 17 February 2021)
  15. Webinar 2021 Using multiple GPUs for Machine Learning‏‎ (13:03, 17 February 2021)
  16. Webinar 2020 Is my neural network too big to fit into GPU?‏‎ (11:06, 11 March 2021)
  17. Webinar 2020 How to Use C++ Parallel Algorithms in a Distributed Memory Setup (i.e. MPI)‏‎ (11:07, 11 March 2021)
  18. Webinar 2019 Dipping into C++17 Parallel Algorithms with Intel's Parallel STL‏‎ (11:09, 11 March 2021)
  19. Webinar 2019 What Happened To My Job?‏‎ (11:09, 11 March 2021)
  20. Webinar 2018 Using Pseudorandom Number Sequences in C++‏‎ (11:10, 11 March 2021)
  21. Webinar 2018 Harnessing the Power of Heterogeneous Computing using Boost.Compute + OpenCL‏‎ (11:10, 11 March 2021)
  22. Webinar 2018 Visual Studio Code – Your Next Coding Companion for Advanced Research Computing‏‎ (11:11, 11 March 2021)
  23. Webinar 2017 Introduction to Eclipse for debugging – Part I‏‎ (11:11, 11 March 2021)
  24. Webinar What’s new and exciting about Graham’s GPU‏‎ (11:12, 11 March 2021)
  25. Webinar 2017 Automating Software Build Process using CMake – Part II‏‎ (11:12, 11 March 2021)
  26. Webinar 2016 What Happened to My Job? Cluster Scheduling In Detail‏‎ (11:12, 11 March 2021)
  27. Webinar 2016 Introduction to The Unix Shell – Automating Your Work‏‎ (11:13, 11 March 2021)
  28. Webinar 2016 Raphaël – a vector graphics library for web development‏‎ (11:13, 11 March 2021)
  29. Webinar 2015 Parallel programming without MPI – Using coarrays in Fortran‏‎ (11:14, 11 March 2021)
  30. Webinar 2015 Programming with Wt - a C++ library for developing stateful and highly interactive web applications‏‎ (11:14, 11 March 2021)
  31. Webinar 2014 Advanced Message Passing in MPI: Using MPI Datatypes with Opaque C++ Types‏‎ (11:15, 11 March 2021)
  32. Webinar 2014 My code doesn’t crash -- why should I still use Valgrind‏‎ (11:15, 11 March 2021)
  33. Webinar demo‏‎ (11:25, 11 March 2021)
  34. New user seminar‏‎ (13:57, 11 March 2021)
  35. Summer School Courses‏‎ (10:52, 12 March 2021)
  36. Webinar 2021 Generating interactive visualizations with Plotly on Graham‏‎ (11:03, 16 March 2021)
  37. Webinar 2014 Linear Algebra on GPU‏‎ (11:17, 16 March 2021)
  38. Webinar 2014 Profiling MPI codes with Allinea's MAP‏‎ (11:19, 16 March 2021)
  39. Webinar 2013 Why Would I Use GPUs?‏‎ (11:25, 16 March 2021)
  40. Webinar 2015 High Performance Computing with Python‏‎ (11:28, 16 March 2021)
  41. Webinar 2018 Summer School preview‏‎ (11:34, 16 March 2021)
  42. Webinar 2021 Scalable Memory Allocation for Parallel Algorithms‏‎ (09:28, 18 March 2021)
  43. Porting CUDA to OpenCL‏‎ (13:45, 18 March 2021)
  44. Wiki tips and hints‏‎ (13:46, 18 March 2021)
  45. Serial farming on Graham‏‎ (15:07, 18 March 2021)
  46. Parallel Debugging with DDT‏‎ (15:26, 18 March 2021)
  47. Webinar 2021 FauxConda: ways to use Conda without conda‏‎ (16:35, 24 March 2021)
  48. Webinar 2021 An Update on ADF/AMS software on Graham‏‎ (08:53, 9 April 2021)
  49. Webinar 2021 Debugging your code with DDT‏‎ (12:37, 22 April 2021)
  50. Webinar 2021 Learning from competition‏‎ (10:58, 17 June 2021)
  51. Webinar 2021 DIY Local Program Installation‏‎ (10:59, 17 June 2021)
  52. Webinar 2021 Hybrid MPI‏‎ (12:17, 17 August 2021)
  53. Webinar 2021 Git Part 2 – Common Git Commands‏‎ (12:23, 17 August 2021)
  54. Webinar 2021 Comparing CPU, GPU, memory, interconnect and filesystem performance across National systems‏‎ (12:23, 17 August 2021)
  55. Hyper-Q / MPS‏‎ (13:04, 2 September 2021)
  56. Dusky‏‎ (13:19, 2 September 2021)
  57. FAQ‏‎ (12:34, 3 September 2021)
  58. SSH‏‎ (12:40, 3 September 2021)
  59. Webinar 2021 Introduction to Eclipse, Part 2 - Developing and debugging MPI code‏‎ (10:43, 9 September 2021)
  60. Webinar 2021 ROCm: AMD's platform for GPU computing‏‎ (13:58, 24 September 2021)
  61. Webinar 2021 META: running a large number of jobs conveniently‏‎ (15:41, 7 October 2021)
  62. Webinar 2021 Scaling Hyperparameter Tuning with Dask-ML on Clusters‏‎ (16:28, 21 October 2021)
  63. Webinar 2021 Running machine learning example (MNIST) on multi-cores/nodes in Graham‏‎ (14:26, 8 November 2021)
  64. Webinar 2021 The Layered Grammar of Graphics (gglot2/plotnine)‏‎ (14:04, 18 November 2021)
  65. Webinar 2021 The Layered Grammar of Graphics (ggplot2/plotnine)‏‎ (16:22, 18 November 2021)
  66. Yeats‏‎ (19:28, 2 December 2021)
  67. Webinar 2021‏‎ (17:54, 16 December 2021)
  68. Webinar 2021 Tips for identifying when job wait times can be reduced by job submission parameter changes‏‎ (17:55, 16 December 2021)
  69. Webinar 2021 Introduction to Eclipse Part 3 - Debugging MPI code‏‎ (17:20, 17 December 2021)
  70. Attending SHARCNET Webinars‏‎ (11:45, 26 January 2022)
  71. Webinar 2022 Remote Development on Clusters with VSCode‏‎ (14:10, 10 February 2022)
  72. Webinar 2022 From histograms to dashboards: An introduction to data visualization with Python‏‎ (14:11, 10 February 2022)
  73. Webinar 2022 Conquering the Scheduler‏‎ (14:11, 10 February 2022)
  74. Webinar 2022 Gaussian16 and NBO7 on Graham and Cedar‏‎ (10:58, 17 March 2022)
  75. Webinar 2022 More Options for Solving Jobs with Many Tasks‏‎ (10:58, 17 March 2022)
  76. Webinar 2022 Using Tensorboard to debug and profile neural network models‏‎ (08:45, 24 March 2022)
  77. Webinar 2022 Apptainer‏‎ (09:10, 8 April 2022)
  78. Webinar 2022 Demystifying Web Portals‏‎ (14:21, 5 May 2022)
  79. Webinar 2022 10 ways to optimize your workflow‏‎ (14:24, 5 May 2022)
  80. Webinar 2022 Profiling GPU codes with Nsight‏‎ (12:12, 19 May 2022)
  81. Webinar 2022 Speeding up Python code with Numba‏‎ (15:42, 1 June 2022)
  82. Webinar 2022 Realtime display with Gnuplot‏‎ (09:14, 16 June 2022)
  83. Webinar 2022 Running PyTorch codes with multi-GPU/nodes on national systems‏‎ (10:51, 13 July 2022)
  84. Webinar 2022 Working with Jupyter on Clusters‏‎ (10:34, 15 July 2022)
  85. Webinar 2022 Debugging with ParaView‏‎ (09:39, 23 August 2022)
  86. Webinar 2022 Visualizing job properties for wait time assessment‏‎ (09:39, 23 August 2022)
  87. Webinar 2022 Remote Development on Clusters with VSCode - Part II‏‎ (09:37, 12 September 2022)
  88. Webinar 2022 Creating and Distributing Python Packages‏‎ (10:06, 22 September 2022)
  89. Webinar 2022 Transfer Learning with Tensorflow Hub‏‎ (15:23, 11 October 2022)
  90. Training‏‎ (10:00, 18 October 2022)
  91. Webinar 2022 Strategies For Managing Filesystem Quotas‏‎ (14:19, 21 October 2022)
  92. Resolving UWindsor Internet Connectivity Issues‏‎ (16:00, 5 November 2022)
  93. Webinar 2022 Video Editing with KDEnLive‏‎ (11:27, 18 November 2022)
  94. Webinar 2022 Profiling & Performance Tuning CPU Programs‏‎ (11:27, 18 November 2022)
  95. Webinar 2021 Pandas Recipes for New Python Users‏‎ (13:53, 23 November 2022)
  96. Webinar 2022 Deploying a simple Express.js Web App‏‎ (09:33, 1 December 2022)
  97. Webinar 2022 Which GPU should I use?‏‎ (10:51, 14 December 2022)
  98. Colloquium 2023 An introduction to MPLAPACK, a multi-precision linear algebra library‏‎ (14:15, 16 December 2022)
  99. Colloquium 2023 Performance: current and upcoming systems‏‎ (13:18, 19 December 2022)
  100. Colloquium 2023 How Research Data Management (RDM) Intersects with ARC and Why Should I Care?‏‎ (13:50, 20 December 2022)
  101. Colloquium 2023 Accelerated DataFrame with Dask-cuDF on multiple GPUs‏‎ (11:44, 20 January 2023)
  102. Colloquium 2023 plotnine: R's Grammar of Graphics in Python‏‎ (13:11, 21 February 2023)
  103. Colloquium 2023 Before and after submitting Octave/Matlab jobs on the clusters‏‎ (09:47, 16 March 2023)
  104. Colloquium 2023 Running MATLAB on Alliance's Clusters‏‎ (09:56, 16 March 2023)
  105. Colloquium 2023 MATLAB on Alliance's Clusters‏‎ (11:28, 22 March 2023)
  106. Colloquium 2023 CUDA, ROCm, oneAPI – All for One or One for All?‏‎ (11:07, 24 April 2023)
  107. Colloquium 2023 Modern Approaches to Profiling in Python with Scalene‏‎ (12:08, 3 May 2023)
  108. Colloquium 2023 Contrastive learning‏‎ (12:09, 3 May 2023)
  109. Colloquium 2023 C++ Parallel Algorithms and Multidimensional Arrays‏‎ (09:41, 24 May 2023)
  110. Colloquium 2023 Leveraging the power of Linux on Windows with WSL‏‎ (14:49, 14 July 2023)
  111. Colloquium 2023 DIY job monitoring, from cache misses to CO2 footprint‏‎ (15:43, 21 July 2023)
  112. Colloquium 2023 Automating scientific workflows with AiiDA‏‎ (09:15, 26 July 2023)
  113. Colloquium 2023 Parallel computing: start from your own computer‏‎ (11:44, 26 July 2023)
  114. Colloquium 2023 Data Wrangling with Tidyverse‏‎ (14:06, 1 September 2023)
  115. Colloquium 2023 Advanced Container Use on Clusters and Personal Computers‏‎ (14:07, 1 September 2023)
  116. Colloquium 2023 Exploring job wait times on Alliance compute clusters: a holistic view‏‎ (12:06, 29 September 2023)
  117. Colloquium 2023 p2rng – A C++ Parallel Random Number Generator Library for the Masses‏‎ (12:04, 6 October 2023)
  118. Colloquium 2023 Generalized End to End Python and Neuroscience Workflows on a Compute Cluster‏‎ (10:49, 31 October 2023)
  119. Colloquium 2023 Squeeze more juice out of a single GPU in deep learning‏‎ (10:51, 31 October 2023)
  120. Colloquium 2023 Skorch: Training PyTorch models with scikit-learn‏‎ (10:48, 27 November 2023)
  121. Land acknowledgments‏‎ (10:33, 29 November 2023)
  122. No colloquium‏‎ (09:44, 13 December 2023)
  123. Colloquium 2024 False Sharing and Contention in Parallel Codes‏‎ (17:22, 21 December 2023)
  124. Colloquium 2024 Introduction to GPU programming with OpenMP‏‎ (12:19, 27 December 2023)
  125. Graham Reference Dataset Repository‏‎ (14:10, 22 January 2024)
  126. Colloquium 2024 MySQL Part 2: Constraints and Joins‏‎ (14:38, 7 February 2024)
  127. Colloquium 2024 MySQL Part 3: Constraints and Joins‏‎ (14:39, 7 February 2024)
  128. Colloquium 2024 Debugging your code with DDT‏‎ (12:44, 19 February 2024)
  129. Colloquium 2024 Make: obsolete or elegant?‏‎ (12:19, 13 March 2024)
  130. UWO Deliveries‏‎ (15:17, 21 March 2024)
  131. Colloquium 2024 Accelerating Graph Analysis on GPUs‏‎ (12:14, 27 March 2024)
  132. Summer Schools‏‎ (09:48, 9 April 2024)
  133. Colloquium 2024 Accelerating data analytics with RAPIDS cuDF‏‎ (12:22, 10 April 2024)
  134. Online Seminars‏‎ (14:07, 2 May 2024)
  135. Colloquium 2024 Data Wrangling with Tidyverse (part 2)‏‎ (14:08, 2 May 2024)
  136. Colloquium 2024 Compute Ontario Summer School 2024‏‎ (14:26, 2 May 2024)
  137. Advanced research computing in Julia‏‎ (14:28, 2 May 2024)
  138. General Interest Seminars‏‎ (16:16, 2 May 2024)

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