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  1. Advanced research computing in Julia
  2. Attending SHARCNET Webinars
  3. Colloquium 2023 Accelerated DataFrame with Dask-cuDF on multiple GPUs
  4. Colloquium 2023 Advanced Container Use on Clusters and Personal Computers
  5. Colloquium 2023 An introduction to MPLAPACK, a multi-precision linear algebra library
  6. Colloquium 2023 Automating scientific workflows with AiiDA
  7. Colloquium 2023 Before and after submitting Octave/Matlab jobs on the clusters
  8. Colloquium 2023 C++ Parallel Algorithms and Multidimensional Arrays
  9. Colloquium 2023 CUDA, ROCm, oneAPI – All for One or One for All?
  10. Colloquium 2023 Contrastive learning
  11. Colloquium 2023 DIY job monitoring, from cache misses to CO2 footprint
  12. Colloquium 2023 Data Wrangling with Tidyverse
  13. Colloquium 2023 Exploring job wait times on Alliance compute clusters: a holistic view
  14. Colloquium 2023 Generalized End to End Python and Neuroscience Workflows on a Compute Cluster
  15. Colloquium 2023 How Research Data Management (RDM) Intersects with ARC and Why Should I Care?
  16. Colloquium 2023 Leveraging the power of Linux on Windows with WSL
  17. Colloquium 2023 MATLAB on Alliance's Clusters
  18. Colloquium 2023 Modern Approaches to Profiling in Python with Scalene
  19. Colloquium 2023 Parallel computing: start from your own computer
  20. Colloquium 2023 Performance: current and upcoming systems
  21. Colloquium 2023 Running MATLAB on Alliance's Clusters
  22. Colloquium 2023 Skorch: Training PyTorch models with scikit-learn
  23. Colloquium 2023 Squeeze more juice out of a single GPU in deep learning
  24. Colloquium 2023 p2rng – A C++ Parallel Random Number Generator Library for the Masses
  25. Colloquium 2023 plotnine: R's Grammar of Graphics in Python
  26. Colloquium 2024 Accelerating Graph Analysis on GPUs
  27. Colloquium 2024 Accelerating data analytics with RAPIDS cuDF
  28. Colloquium 2024 Debugging your code with DDT
  29. Colloquium 2024 False Sharing and Contention in Parallel Codes
  30. Colloquium 2024 Introduction to GPU programming with OpenMP
  31. Colloquium 2024 Make: obsolete or elegant?
  32. Colloquium 2024 MySQL Part 2: Constraints and Joins
  33. Colloquium 2024 MySQL Part 3: Constraints and Joins
  34. Dusky
  35. FAQ
  36. General Interest Seminars
  37. Graham Reference Dataset Repository
  38. Hyper-Q / MPS
  39. Land acknowledgments
  40. New user seminar
  41. No colloquium
  42. Online Seminars
  43. Parallel Debugging with DDT
  44. Porting CUDA to OpenCL
  45. Resolving UWindsor Internet Connectivity Issues
  46. SSH
  47. Serial farming on Graham
  48. Summer School Courses
  49. Summer Schools
  50. Training
  51. UWO Deliveries
  52. Webinar 2013 Introduction for Linux Abstract
  53. Webinar 2013 Why Would I Use GPUs?
  54. Webinar 2014 Advanced Message Passing in MPI: Using MPI Datatypes with Opaque C++ Types
  55. Webinar 2014 An Introduction to Java Threads
  56. Webinar 2014 CUDA Basics and how to
  57. Webinar 2014 Debugging at SHARCNET
  58. Webinar 2014 Is the Intel Xeon Phi right for me
  59. Webinar 2014 Linear Algebra on GPU
  60. Webinar 2014 Managing your files effectively at SHARCNET with SVN
  61. Webinar 2014 My code doesn’t crash -- why should I still use Valgrind
  62. Webinar 2014 Profiling MPI codes with Allinea's MAP
  63. Webinar 2014 Programming with VTK - a high-level visualization library
  64. Webinar 2014 Running MATLAB in SHARCNET
  65. Webinar 2014 The SHARCNET Desktop
  66. Webinar 2015 A brief look at numerical libraries: The tools you can use
  67. Webinar 2015 An Update on MATLAB at SHARCNET
  68. Webinar 2015 CUDA Profiling and Tuning
  69. Webinar 2015 Debugging and profiling of MPI programs
  70. Webinar 2015 Deep Learning on SHARCNET: From CPU to GPU cluster
  71. Webinar 2015 Exploring a new approach to package management
  72. Webinar 2015 Fundamentals of working at the command line at SHARCNET
  73. Webinar 2015 Get the most out of SharcNET
  74. Webinar 2015 High Performance Computing with Python
  75. Webinar 2015 Hybrid MPI and OpenMP Parallel Programming
  76. Webinar 2015 Introduction to MPI
  77. Webinar 2015 Introduction to Parallel I/O
  78. Webinar 2015 New User Seminar - Part 2
  79. Webinar 2015 Parallel Design Patterns
  80. Webinar 2015 Parallel programming without MPI – Using coarrays in Fortran
  81. Webinar 2015 Profiling function vectorization in Matlab/Octave
  82. Webinar 2015 Programming, best practices
  83. Webinar 2015 Programming with Wt - a C++ library for developing stateful and highly interactive web applications
  84. Webinar 2015 SHARCNet file management
  85. Webinar 2015 Scientific Visualization with ParaView
  86. Webinar 2015 Serial and parallel farming from A to Z
  87. Webinar 2015 The Relevance of OpenCL to HPC
  88. Webinar 2016 Automating Software Build Process using CMake
  89. Webinar 2016 Debugging CUDA programs
  90. Webinar 2016 Debugging OpenMP programs
  91. Webinar 2016 Deep Learning at SHARCNET: Tools you can use
  92. Webinar 2016 Defensive Programming : Best Practices
  93. Webinar 2016 Git and SHARCNET
  94. Webinar 2016 How to get started with OpenFOAM at SHARCNET
  95. Webinar 2016 Hybrid MPI and OpenMP Parallel Programming
  96. Webinar 2016 Introduction to Apache Spark on SHARCNET
  97. Webinar 2016 Introduction to Jupyter
  98. Webinar 2016 Introduction to MPI - Part III
  99. Webinar 2016 Introduction to OpenMP Parallel Programming
  100. Webinar 2016 Introduction to Python
  101. Webinar 2016 Introduction to The Unix Shell – Automating Your Work
  102. Webinar 2016 Parallel and high performance computing with R
  103. Webinar 2016 Quick tips for getting the most out of SHARCNET
  104. Webinar 2016 Raphaël – a vector graphics library for web development
  105. Webinar 2016 UNIX shell expansion: proper use and advanced forms
  106. Webinar 2016 What Happened to My Job? Cluster Scheduling In Detail
  107. Webinar 2017 Automating Software Build Process using CMake – Part II
  108. Webinar 2017 Deep Learning on SHARCNET: Best Practices
  109. Webinar 2017 Git and SHARCNET (part 2)
  110. Webinar 2017 High Performance Computing with Python
  111. Webinar 2017 Intel MPI Library Cluster Edition on Graham
  112. Webinar 2017 Introduction to Eclipse for debugging – Part I
  113. Webinar 2017 Introduction to LINUX/SHELL programming in SHARCNET
  114. Webinar 2017 Introduction to ParaView
  115. Webinar 2017 Introduction to SHARCNET Cloud
  116. Webinar 2017 Linear Algebra on GPU
  117. Webinar 2017 Machine Learning using Jupyter Notebooks on Graham
  118. Webinar 2017 Machine Learning with Spark at SHARCNET
  119. Webinar 2017 Modern Fortran: Concurrency and Parallelism
  120. Webinar 2017 Navigating the Research Computing Resource Renewals Coming in 2017
  121. Webinar 2017 OpenMP 4.x: New features and Protocols
  122. Webinar 2017 Packaging with Nix
  123. Webinar 2017 Partitions and scheduling, running jobs effectively on Graham and Cedar
  124. Webinar 2017 Serial farming on Graham
  125. Webinar 2017 Train models to recognize hand-written digits using Tensorflow
  126. Webinar 2017 Training Neural Networks with hundreds of GPUs on Graham and Cedar
  127. Webinar 2018 All about job wait times in the Graham queue
  128. Webinar 2018 Code profiling on Graham
  129. Webinar 2018 Concurrent File I/O by Multiple Processes
  130. Webinar 2018 Debugging on Graham with DDT
  131. Webinar 2018 Deploying a Full Stack Web Solution on the Cloud for Cluster Access
  132. Webinar 2018 Fundamentals of working at the command line at Graham
  133. Webinar 2018 Harnessing the Power of Heterogeneous Computing using Boost.Compute + OpenCL
  134. Webinar 2018 Improving your Python programs with NumPy and SciPy
  135. Webinar 2018 Intro to Intel Performance Tools
  136. Webinar 2018 Introduction to MySQL on Graham
  137. Webinar 2018 MySQL Part 2: Relations and Joins
  138. Webinar 2018 Singularity
  139. Webinar 2018 Stock Prediction Using Recurrent Neural Network
  140. Webinar 2018 Summer School preview
  141. Webinar 2018 The Benefits of GLOST for Many Jobs
  142. Webinar 2018 Understand (and potentially reduce) job wait times
  143. Webinar 2018 Using Computational Chemistry software effectively on Graham
  144. Webinar 2018 Using MATLAB effectively on Graham and Cedar
  145. Webinar 2018 Using Pseudorandom Number Sequences in C++
  146. Webinar 2018 Using SSH for Good, not Evil
  147. Webinar 2018 Visual Studio Code – Your Next Coding Companion for Advanced Research Computing
  148. Webinar 2019 Best practices on Graham
  149. Webinar 2019 Dipping into C++17 Parallel Algorithms with Intel's Parallel STL
  150. Webinar 2019 Docker
  151. Webinar 2019 Exploring Octave package dataframe
  152. Webinar 2019 HPC Programming Language Chapel: Base Language Overview
  153. Webinar 2019 Introduction to parallel programming with MPI and Python
  154. Webinar 2019 Introduction to scalable computing with Dask in Python
  155. Webinar 2019 Julia: A second perspective
  156. Webinar 2019 Julia - A first perspective
  157. Webinar 2019 Leveraging Compiler Optimization Reports
  158. Webinar 2019 New developments in OpenMP
  159. Webinar 2019 PRE and POST production on Graham
  160. Webinar 2019 Pull your own data into ParaView
  161. Webinar 2019 The Monad Understanding Hurdle
  162. Webinar 2019 Using Multiple GPUs in Tensorflow
  163. Webinar 2019 Using reduced numerical precision on Pascal, Volta and Turing GPUs
  164. Webinar 2019 What Happened To My Job?
  165. Webinar 2020 Accelerate Python Analytics on GPUs with RAPIDS
  166. Webinar 2020 Bioinformatics in the terminal: Tips and tricks to make your life easier
  167. Webinar 2020 Collaborative Groups in CUDA
  168. Webinar 2020 Cython: A First Look
  169. Webinar 2020 How to Use C++ Parallel Algorithms in a Distributed Memory Setup (i.e. MPI)
  170. Webinar 2020 How to run AI programs in Graham
  171. Webinar 2020 Introduction to Git
  172. Webinar 2020 Introduction to HPC Programming Language Chapel: Parallel Approaches
  173. Webinar 2020 Is my neural network too big to fit into GPU?
  174. Webinar 2020 Julia: A third perspective - parallel computing explained
  175. Webinar 2020 Julia: Parallel computing revisited
  176. Webinar 2020 New User Seminar, Part II
  177. Webinar 2020 NixOS: The second largest and the most up-to-date Linux distribution
  178. Webinar 2020 Options for Solving Jobs with Many Tasks
  179. Webinar 2020 Practical Singularity
  180. Webinar 2020 Preparing for RAC 2021 applications
  181. Webinar 2020 Singularity 3.5
  182. Webinar 2020 Using SSHFS to make CC storage more accessible
  183. Webinar 2020 Visualizing job usage on the Compute Canada systems with the ViewClust Python package
  184. Webinar 2021
  185. Webinar 2021 An Update on ADF/AMS software on Graham
  186. Webinar 2021 Comparing CPU, GPU, memory, interconnect and filesystem performance across National systems
  187. Webinar 2021 Computing in arbitrary precision
  188. Webinar 2021 DIY Local Program Installation
  189. Webinar 2021 Debugging your code with DDT
  190. Webinar 2021 FauxConda: ways to use Conda without conda
  191. Webinar 2021 Generating interactive visualizations with Plotly on Graham
  192. Webinar 2021 Git Part 2 – Common Git Commands
  193. Webinar 2021 Hybrid MPI
  194. Webinar 2021 Introduction to Eclipse, Part 2 - Developing and debugging MPI code
  195. Webinar 2021 Introduction to Eclipse Part 3 - Debugging MPI code
  196. Webinar 2021 Learning from competition
  197. Webinar 2021 META: running a large number of jobs conveniently
  198. Webinar 2021 Pandas Recipes for New Python Users
  199. Webinar 2021 Programming GPUs with Fortran
  200. Webinar 2021 ROCm: AMD's platform for GPU computing
  201. Webinar 2021 Running machine learning example (MNIST) on multi-cores/nodes in Graham
  202. Webinar 2021 Scalable Memory Allocation for Parallel Algorithms
  203. Webinar 2021 Scaling Hyperparameter Tuning with Dask-ML on Clusters
  204. Webinar 2021 The Layered Grammar of Graphics (gglot2/plotnine)
  205. Webinar 2021 The Layered Grammar of Graphics (ggplot2/plotnine)
  206. Webinar 2021 Tips for identifying when job wait times can be reduced by job submission parameter changes
  207. Webinar 2021 Using multiple GPUs for Machine Learning
  208. Webinar 2022 10 ways to optimize your workflow
  209. Webinar 2022 Apptainer
  210. Webinar 2022 Conquering the Scheduler
  211. Webinar 2022 Creating and Distributing Python Packages
  212. Webinar 2022 Debugging with ParaView
  213. Webinar 2022 Demystifying Web Portals
  214. Webinar 2022 Deploying a simple Express.js Web App
  215. Webinar 2022 From histograms to dashboards: An introduction to data visualization with Python
  216. Webinar 2022 Gaussian16 and NBO7 on Graham and Cedar
  217. Webinar 2022 More Options for Solving Jobs with Many Tasks
  218. Webinar 2022 Profiling & Performance Tuning CPU Programs
  219. Webinar 2022 Profiling GPU codes with Nsight
  220. Webinar 2022 Realtime display with Gnuplot
  221. Webinar 2022 Remote Development on Clusters with VSCode
  222. Webinar 2022 Remote Development on Clusters with VSCode - Part II
  223. Webinar 2022 Running PyTorch codes with multi-GPU/nodes on national systems
  224. Webinar 2022 Speeding up Python code with Numba
  225. Webinar 2022 Strategies For Managing Filesystem Quotas
  226. Webinar 2022 Transfer Learning with Tensorflow Hub
  227. Webinar 2022 Using Tensorboard to debug and profile neural network models
  228. Webinar 2022 Video Editing with KDEnLive
  229. Webinar 2022 Visualizing job properties for wait time assessment
  230. Webinar 2022 Which GPU should I use?
  231. Webinar 2022 Working with Jupyter on Clusters
  232. Webinar How jobs are scheduled to run on Graham and Cedar
  233. Webinar What’s new and exciting about Graham’s GPU
  234. Webinar demo
  235. Wiki tips and hints
  236. Yeats

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