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Showing below up to 50 results in range #1 to #50.

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

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