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Showing below up to 100 results in range #101 to #200.

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  1. Webinar 2017 Automating Software Build Process using CMake – Part II
  2. Webinar 2017 Deep Learning on SHARCNET: Best Practices
  3. Webinar 2017 Git and SHARCNET (part 2)
  4. Webinar 2017 High Performance Computing with Python
  5. Webinar 2017 Intel MPI Library Cluster Edition on Graham
  6. Webinar 2017 Introduction to Eclipse for debugging – Part I
  7. Webinar 2017 Introduction to LINUX/SHELL programming in SHARCNET
  8. Webinar 2017 Introduction to ParaView
  9. Webinar 2017 Introduction to SHARCNET Cloud
  10. Webinar 2017 Linear Algebra on GPU
  11. Webinar 2017 Machine Learning using Jupyter Notebooks on Graham
  12. Webinar 2017 Machine Learning with Spark at SHARCNET
  13. Webinar 2017 Modern Fortran: Concurrency and Parallelism
  14. Webinar 2017 Navigating the Research Computing Resource Renewals Coming in 2017
  15. Webinar 2017 OpenMP 4.x: New features and Protocols
  16. Webinar 2017 Packaging with Nix
  17. Webinar 2017 Partitions and scheduling, running jobs effectively on Graham and Cedar
  18. Webinar 2017 Serial farming on Graham
  19. Webinar 2017 Train models to recognize hand-written digits using Tensorflow
  20. Webinar 2017 Training Neural Networks with hundreds of GPUs on Graham and Cedar
  21. Webinar 2018 All about job wait times in the Graham queue
  22. Webinar 2018 Code profiling on Graham
  23. Webinar 2018 Concurrent File I/O by Multiple Processes
  24. Webinar 2018 Debugging on Graham with DDT
  25. Webinar 2018 Deploying a Full Stack Web Solution on the Cloud for Cluster Access
  26. Webinar 2018 Fundamentals of working at the command line at Graham
  27. Webinar 2018 Harnessing the Power of Heterogeneous Computing using Boost.Compute + OpenCL
  28. Webinar 2018 Improving your Python programs with NumPy and SciPy
  29. Webinar 2018 Intro to Intel Performance Tools
  30. Webinar 2018 Introduction to MySQL on Graham
  31. Webinar 2018 MySQL Part 2: Relations and Joins
  32. Webinar 2018 Singularity
  33. Webinar 2018 Stock Prediction Using Recurrent Neural Network
  34. Webinar 2018 Summer School preview
  35. Webinar 2018 The Benefits of GLOST for Many Jobs
  36. Webinar 2018 Understand (and potentially reduce) job wait times
  37. Webinar 2018 Using Computational Chemistry software effectively on Graham
  38. Webinar 2018 Using MATLAB effectively on Graham and Cedar
  39. Webinar 2018 Using Pseudorandom Number Sequences in C++
  40. Webinar 2018 Using SSH for Good, not Evil
  41. Webinar 2018 Visual Studio Code – Your Next Coding Companion for Advanced Research Computing
  42. Webinar 2019 Best practices on Graham
  43. Webinar 2019 Dipping into C++17 Parallel Algorithms with Intel's Parallel STL
  44. Webinar 2019 Docker
  45. Webinar 2019 Exploring Octave package dataframe
  46. Webinar 2019 HPC Programming Language Chapel: Base Language Overview
  47. Webinar 2019 Introduction to parallel programming with MPI and Python
  48. Webinar 2019 Introduction to scalable computing with Dask in Python
  49. Webinar 2019 Julia: A second perspective
  50. Webinar 2019 Julia - A first perspective
  51. Webinar 2019 Leveraging Compiler Optimization Reports
  52. Webinar 2019 New developments in OpenMP
  53. Webinar 2019 PRE and POST production on Graham
  54. Webinar 2019 Pull your own data into ParaView
  55. Webinar 2019 The Monad Understanding Hurdle
  56. Webinar 2019 Using Multiple GPUs in Tensorflow
  57. Webinar 2019 Using reduced numerical precision on Pascal, Volta and Turing GPUs
  58. Webinar 2019 What Happened To My Job?
  59. Webinar 2020 Accelerate Python Analytics on GPUs with RAPIDS
  60. Webinar 2020 Bioinformatics in the terminal: Tips and tricks to make your life easier
  61. Webinar 2020 Collaborative Groups in CUDA
  62. Webinar 2020 Cython: A First Look
  63. Webinar 2020 How to Use C++ Parallel Algorithms in a Distributed Memory Setup (i.e. MPI)
  64. Webinar 2020 How to run AI programs in Graham
  65. Webinar 2020 Introduction to Git
  66. Webinar 2020 Introduction to HPC Programming Language Chapel: Parallel Approaches
  67. Webinar 2020 Is my neural network too big to fit into GPU?
  68. Webinar 2020 Julia: A third perspective - parallel computing explained
  69. Webinar 2020 Julia: Parallel computing revisited
  70. Webinar 2020 New User Seminar, Part II
  71. Webinar 2020 NixOS: The second largest and the most up-to-date Linux distribution
  72. Webinar 2020 Options for Solving Jobs with Many Tasks
  73. Webinar 2020 Practical Singularity
  74. Webinar 2020 Preparing for RAC 2021 applications
  75. Webinar 2020 Singularity 3.5
  76. Webinar 2020 Using SSHFS to make CC storage more accessible
  77. Webinar 2020 Visualizing job usage on the Compute Canada systems with the ViewClust Python package
  78. Webinar 2021
  79. Webinar 2021 An Update on ADF/AMS software on Graham
  80. Webinar 2021 Comparing CPU, GPU, memory, interconnect and filesystem performance across National systems
  81. Webinar 2021 Computing in arbitrary precision
  82. Webinar 2021 DIY Local Program Installation
  83. Webinar 2021 Debugging your code with DDT
  84. Webinar 2021 FauxConda: ways to use Conda without conda
  85. Webinar 2021 Generating interactive visualizations with Plotly on Graham
  86. Webinar 2021 Git Part 2 – Common Git Commands
  87. Webinar 2021 Hybrid MPI
  88. Webinar 2021 Introduction to Eclipse, Part 2 - Developing and debugging MPI code
  89. Webinar 2021 Introduction to Eclipse Part 3 - Debugging MPI code
  90. Webinar 2021 Learning from competition
  91. Webinar 2021 META: running a large number of jobs conveniently
  92. Webinar 2021 Pandas Recipes for New Python Users
  93. Webinar 2021 Programming GPUs with Fortran
  94. Webinar 2021 ROCm: AMD's platform for GPU computing
  95. Webinar 2021 Running machine learning example (MNIST) on multi-cores/nodes in Graham
  96. Webinar 2021 Scalable Memory Allocation for Parallel Algorithms
  97. Webinar 2021 Scaling Hyperparameter Tuning with Dask-ML on Clusters
  98. Webinar 2021 The Layered Grammar of Graphics (gglot2/plotnine)
  99. Webinar 2021 The Layered Grammar of Graphics (ggplot2/plotnine)
  100. Webinar 2021 Tips for identifying when job wait times can be reduced by job submission parameter changes

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