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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 Compute Ontario Summer School 2024
  29. Colloquium 2024 Data Wrangling with Tidyverse (part 2)
  30. Colloquium 2024 Debugging and Optimization of PyTorch Models
  31. Colloquium 2024 Debugging your code with DDT
  32. Colloquium 2024 Diagnosing Wasted Resources from User Facing Portals on the National Clusters
  33. Colloquium 2024 Exploring Compute Usage from User Facing Portals on the National Clusters
  34. Colloquium 2024 False Sharing and Contention in Parallel Codes
  35. Colloquium 2024 Git Part 3: Managing Workflows
  36. Colloquium 2024 Introduction to GPU programming with OpenMP
  37. Colloquium 2024 Introduction to MPI IO
  38. Colloquium 2024 Introspection for Jobs: in-job monitoring of performance
  39. Colloquium 2024 Make: obsolete or elegant?
  40. Colloquium 2024 Multidimensional Arrays in C++
  41. Colloquium 2024 MySQL Part 2: Constraints and Joins
  42. Colloquium 2024 MySQL Part 3: Constraints and Joins
  43. Colloquium 2024 Parallel Programming: MPI I/O Basics
  44. Colloquium 2024 Survival guide for the upcoming GPU upgrades (more total power, but fewer GPUs)
  45. Colloquium 2024 The Emergence of WebAssembly (Wasm) in Scientific Computing
  46. Colloquium 2024 Using machine learning to predict rare events
  47. Dusky
  48. FAQ
  49. General Interest Seminars
  50. Git Part 3: Managing Workflows

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