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  1. Attending SHARCNET Webinars
  2. Colloquium 2023 Accelerated DataFrame with Dask-cuDF on multiple GPUs
  3. Colloquium 2023 Advanced Container Use on Clusters and Personal Computers
  4. Colloquium 2023 An introduction to MPLAPACK, a multi-precision linear algebra library
  5. Colloquium 2023 Automating scientific workflows with AiiDA
  6. Colloquium 2023 Before and after submitting Octave/Matlab jobs on the clusters
  7. Colloquium 2023 C++ Parallel Algorithms and Multidimensional Arrays
  8. Colloquium 2023 CUDA, ROCm, oneAPI – All for One or One for All?
  9. Colloquium 2023 Contrastive learning
  10. Colloquium 2023 DIY job monitoring, from cache misses to CO2 footprint
  11. Colloquium 2023 Data Wrangling with Tidyverse
  12. Colloquium 2023 Exploring job wait times on Alliance compute clusters: a holistic view
  13. Colloquium 2023 Generalized End to End Python and Neuroscience Workflows on a Compute Cluster
  14. Colloquium 2023 How Research Data Management (RDM) Intersects with ARC and Why Should I Care?
  15. Colloquium 2023 Leveraging the power of Linux on Windows with WSL
  16. Colloquium 2023 MATLAB on Alliance's Clusters
  17. Colloquium 2023 Modern Approaches to Profiling in Python with Scalene
  18. Colloquium 2023 Parallel computing: start from your own computer
  19. Colloquium 2023 Performance: current and upcoming systems
  20. Colloquium 2023 Running MATLAB on Alliance's Clusters
  21. Colloquium 2023 Skorch: Training PyTorch models with scikit-learn
  22. Colloquium 2023 Squeeze more juice out of a single GPU in deep learning
  23. Colloquium 2023 p2rng – A C++ Parallel Random Number Generator Library for the Masses
  24. Colloquium 2023 plotnine: R's Grammar of Graphics in Python
  25. Colloquium 2024 Accelerating Graph Analysis on GPUs
  26. Colloquium 2024 Debugging your code with DDT
  27. Colloquium 2024 False Sharing and Contention in Parallel Codes
  28. Colloquium 2024 Introduction to GPU programming with OpenMP
  29. Colloquium 2024 Make: obsolete or elegant?
  30. Colloquium 2024 MySQL Part 2: Constraints and Joins
  31. Colloquium 2024 MySQL Part 3: Constraints and Joins
  32. Dusky
  33. Hyper-Q / MPS
  34. Land acknowledgments
  35. No colloquium
  36. Parallel Debugging with DDT
  37. Porting CUDA to OpenCL
  38. Resolving UWindsor Internet Connectivity Issues
  39. SSH
  40. Summer School Courses
  41. UWO Deliveries
  42. Webinar 2013 Introduction for Linux Abstract
  43. Webinar 2013 Why Would I Use GPUs?
  44. Webinar 2014 Advanced Message Passing in MPI: Using MPI Datatypes with Opaque C++ Types
  45. Webinar 2014 An Introduction to Java Threads
  46. Webinar 2014 CUDA Basics and how to
  47. Webinar 2014 Debugging at SHARCNET
  48. Webinar 2014 Is the Intel Xeon Phi right for me
  49. Webinar 2014 Linear Algebra on GPU
  50. Webinar 2014 Managing your files effectively at SHARCNET with SVN
  51. Webinar 2014 My code doesn’t crash -- why should I still use Valgrind
  52. Webinar 2014 Profiling MPI codes with Allinea's MAP
  53. Webinar 2014 Programming with VTK - a high-level visualization library
  54. Webinar 2014 Running MATLAB in SHARCNET
  55. Webinar 2014 The SHARCNET Desktop
  56. Webinar 2015 A brief look at numerical libraries: The tools you can use
  57. Webinar 2015 An Update on MATLAB at SHARCNET
  58. Webinar 2015 CUDA Profiling and Tuning
  59. Webinar 2015 Debugging and profiling of MPI programs
  60. Webinar 2015 Deep Learning on SHARCNET: From CPU to GPU cluster
  61. Webinar 2015 Exploring a new approach to package management
  62. Webinar 2015 Fundamentals of working at the command line at SHARCNET
  63. Webinar 2015 Get the most out of SharcNET
  64. Webinar 2015 High Performance Computing with Python
  65. Webinar 2015 Hybrid MPI and OpenMP Parallel Programming
  66. Webinar 2015 Introduction to MPI
  67. Webinar 2015 Introduction to Parallel I/O
  68. Webinar 2015 New User Seminar - Part 2
  69. Webinar 2015 Parallel Design Patterns
  70. Webinar 2015 Parallel programming without MPI – Using coarrays in Fortran
  71. Webinar 2015 Profiling function vectorization in Matlab/Octave
  72. Webinar 2015 Programming, best practices
  73. Webinar 2015 Programming with Wt - a C++ library for developing stateful and highly interactive web applications
  74. Webinar 2015 SHARCNet file management
  75. Webinar 2015 Scientific Visualization with ParaView
  76. Webinar 2015 Serial and parallel farming from A to Z
  77. Webinar 2015 The Relevance of OpenCL to HPC
  78. Webinar 2016 Automating Software Build Process using CMake
  79. Webinar 2016 Debugging CUDA programs
  80. Webinar 2016 Debugging OpenMP programs
  81. Webinar 2016 Deep Learning at SHARCNET: Tools you can use
  82. Webinar 2016 Defensive Programming : Best Practices
  83. Webinar 2016 Git and SHARCNET
  84. Webinar 2016 How to get started with OpenFOAM at SHARCNET
  85. Webinar 2016 Hybrid MPI and OpenMP Parallel Programming
  86. Webinar 2016 Introduction to Apache Spark on SHARCNET
  87. Webinar 2016 Introduction to Jupyter
  88. Webinar 2016 Introduction to MPI - Part III
  89. Webinar 2016 Introduction to OpenMP Parallel Programming
  90. Webinar 2016 Introduction to Python
  91. Webinar 2016 Introduction to The Unix Shell – Automating Your Work
  92. Webinar 2016 Parallel and high performance computing with R
  93. Webinar 2016 Quick tips for getting the most out of SHARCNET
  94. Webinar 2016 Raphaël – a vector graphics library for web development
  95. Webinar 2016 UNIX shell expansion: proper use and advanced forms
  96. Webinar 2016 What Happened to My Job? Cluster Scheduling In Detail
  97. Webinar 2017 Automating Software Build Process using CMake – Part II
  98. Webinar 2017 Deep Learning on SHARCNET: Best Practices
  99. Webinar 2017 Git and SHARCNET (part 2)
  100. Webinar 2017 High Performance Computing with Python

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