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Sharcnet HPC @UCCRmb5_GMWT2hSlALHlwIMg@youtube.com

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This channel provides public access to recordings of SHARCNE


05:30
How to add an SSH key to CCDB (Windows users)
49:21
Scaling Hyperparameter Tuning with Dask-ML on Clusters
51:42
META: running a large number of jobs conveniently
30:57
Introduction to Compute Canada (a faculty edition)
35:36
ROCm: AMD's platform for GPU computing
01:10:59
Introduction to Eclipse, Part 2 - Developing and debugging MPI code
17:49
Comparing CPU, GPU, memory, interconnect and filesystem performance across National systems
49:50
Git Part 2 – Common Git Commands
50:30
Hybrid MPI
46:25
Learning from competition
45:46
DIY Local Program Installation
39:26
Pandas Recipes for New Python Users
55:29
Debugging your code with DDT
46:26
An Update on ADF/AMS software on Graham
39:38
FauxConda: ways to use Conda without conda
42:58
Scalable Memory Allocation for Parallel Algorithms
49:54
Generating interactive visualizations with Plotly on Graham
43:24
Using multiple GPUs for Machine Learning
51:44
Computing in arbitrary precision
43:09
Programming GPUs with Fortran
01:06:40
Accelerate Python Analytics on GPUs with RAPIDS
53:16
Practical Singularity
01:04:41
NixOS: The second largest and the most up-to-date Linux distribution
01:08:25
Julia: Parallel computing revisited
01:01:19
Introduction to Git
37:40
Preparing for RAC 2021 applications
43:26
Introduction to HPC Programming Language Chapel: Parallel Approaches
30:19
Introduction to Compute Canada (a faculty edition)
56:17
Is my neural network too big to fit into GPU?
01:12:39
Options for Solving Jobs with Many Tasks
01:06:31
Bioinformatics in the terminal: Tips and tricks to make your life easier
58:30
How to Use C++ Parallel Algorithms in a Distributed Memory Setup (i.e. MPI)
54:14
Visualizing job usage on the Compute Canada systems with the ViewClust Python package
39:41
Cython: A First Look
39:58
Collaborative Groups in CUDA
18:56
Using SSHFS to make CC storage more accessible
45:16
Introduction to scalable computing with Dask in Python (continued)
01:05:10
Julia: A third perspective - parallel computing explained
38:01
How to run AI programs in Graham
54:42
New User Seminar, Part II
50:37
Using C++'s Parallel Algorithms
57:16
Singularity 3.5
41:21
HPC Programming Language Chapel: Base Language Overview
46:20
Docker
57:48
Julia: A second perspective
49:39
New User Seminar
48:26
Using Multiple GPUs in Tensorflow
35:45
Leveraging Compiler Optimization Reports
49:27
Introduction to scalable computing with Dask in Python
35:06
Using reduced numerical precision on Pascal, Volta and Turing GPUs
04:55
GRAHAM SUPERCOMPUTER
02:49
Processing JSON files on the command line
01:56
Finding the maximum memory used by your program
47:29
Julia - A first perspective
02:16
VNC Viewer setup for Windows
02:43
How to prevent SSH from disconnecting?
44:46
New developments in OpenMP
50:24
Pull your own data into ParaView
01:51
Enabling Windows Subsystem for Linux
02:20
How to time your code