Short pages

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Showing below up to 50 results in range #51 to #100.

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  1. (hist) ‎Webinar 2014 CUDA Basics and how to ‎[419 bytes]
  2. (hist) ‎Webinar 2014 Linear Algebra on GPU ‎[420 bytes]
  3. (hist) ‎Webinar 2016 Deep Learning at SHARCNET: Tools you can use ‎[422 bytes]
  4. (hist) ‎Webinar 2019 Using reduced numerical precision on Pascal, Volta and Turing GPUs ‎[423 bytes]
  5. (hist) ‎Webinar 2015 Programming, best practices ‎[425 bytes]
  6. (hist) ‎Webinar 2013 Introduction for Linux Abstract ‎[425 bytes]
  7. (hist) ‎Colloquium 2023 Data Wrangling with Tidyverse ‎[428 bytes]
  8. (hist) ‎Colloquium 2023 plotnine: R's Grammar of Graphics in Python ‎[434 bytes]
  9. (hist) ‎Webinar 2022 Apptainer ‎[435 bytes]
  10. (hist) ‎Webinar 2018 Using Computational Chemistry software effectively on Graham ‎[439 bytes]
  11. (hist) ‎Webinar 2017 Machine Learning with Spark at SHARCNET ‎[444 bytes]
  12. (hist) ‎Colloquium 2023 Exploring job wait times on Alliance compute clusters: a holistic view ‎[447 bytes]
  13. (hist) ‎Webinar 2016 Introduction to Python ‎[448 bytes]
  14. (hist) ‎Webinar 2021 The Layered Grammar of Graphics (gglot2/plotnine) ‎[449 bytes]
  15. (hist) ‎Webinar 2021 The Layered Grammar of Graphics (ggplot2/plotnine) ‎[449 bytes]
  16. (hist) ‎Webinar 2019 Julia - A first perspective ‎[454 bytes]
  17. (hist) ‎Webinar 2017 Git and SHARCNET (part 2) ‎[454 bytes]
  18. (hist) ‎Webinar 2021 Introduction to Eclipse, Part 2 - Developing and debugging MPI code ‎[454 bytes]
  19. (hist) ‎Colloquium 2024 Compute Ontario Summer School 2024 ‎[456 bytes]
  20. (hist) ‎Webinar 2019 Pull your own data into ParaView ‎[458 bytes]
  21. (hist) ‎Webinar 2015 An Update on MATLAB at SHARCNET ‎[461 bytes]
  22. (hist) ‎Webinar 2014 Debugging at SHARCNET ‎[465 bytes]
  23. (hist) ‎Webinar 2022 Which GPU should I use? ‎[467 bytes]
  24. (hist) ‎Webinar 2018 Using Pseudorandom Number Sequences in C++ ‎[471 bytes]
  25. (hist) ‎Webinar 2022 Using Tensorboard to debug and profile neural network models ‎[478 bytes]
  26. (hist) ‎New user seminar ‎[482 bytes]
  27. (hist) ‎Webinar 2021 Programming GPUs with Fortran ‎[486 bytes]
  28. (hist) ‎Webinar 2014 Managing your files effectively at SHARCNET with SVN ‎[487 bytes]
  29. (hist) ‎Colloquium 2023 Accelerated DataFrame with Dask-cuDF on multiple GPUs ‎[489 bytes]
  30. (hist) ‎Webinar 2020 Options for Solving Jobs with Many Tasks ‎[499 bytes]
  31. (hist) ‎Webinar 2022 Visualizing job properties for wait time assessment ‎[501 bytes]
  32. (hist) ‎Webinar 2021 FauxConda: ways to use Conda without conda ‎[504 bytes]
  33. (hist) ‎Webinar 2016 Raphaël – a vector graphics library for web development ‎[510 bytes]
  34. (hist) ‎Colloquium 2024 Diagnosing Wasted Resources from User Facing Portals on the National Clusters ‎[512 bytes]
  35. (hist) ‎Webinar 2019 New developments in OpenMP ‎[515 bytes]
  36. (hist) ‎Colloquium 2024 Using machine learning to predict rare events ‎[515 bytes]
  37. (hist) ‎Parallel Programming: MPI I/O Basics ‎[515 bytes]
  38. (hist) ‎Colloquium 2024 Introduction to GPU programming with OpenMP ‎[517 bytes]
  39. (hist) ‎Colloquium 2024 Introduction to MPI IO ‎[518 bytes]
  40. (hist) ‎Webinar 2021 Generating interactive visualizations with Plotly on Graham ‎[521 bytes]
  41. (hist) ‎Colloquium 2023 DIY job monitoring, from cache misses to CO2 footprint ‎[523 bytes]
  42. (hist) ‎Webinar 2014 The SHARCNET Desktop ‎[525 bytes]
  43. (hist) ‎Colloquium 2023 An introduction to MPLAPACK, a multi-precision linear algebra library ‎[526 bytes]
  44. (hist) ‎Webinar 2014 My code doesn’t crash -- why should I still use Valgrind ‎[528 bytes]
  45. (hist) ‎Colloquium 2023 C++ Parallel Algorithms and Multidimensional Arrays ‎[533 bytes]
  46. (hist) ‎Webinar 2019 Docker ‎[534 bytes]
  47. (hist) ‎Colloquium 2023 Skorch: Training PyTorch models with scikit-learn ‎[534 bytes]
  48. (hist) ‎Webinar 2019 Introduction to scalable computing with Dask in Python ‎[544 bytes]
  49. (hist) ‎Webinar 2018 Using MATLAB effectively on Graham and Cedar ‎[545 bytes]
  50. (hist) ‎Webinar 2015 Deep Learning on SHARCNET: From CPU to GPU cluster ‎[545 bytes]

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