Running JupyterLab on Nibi

2025 Western Fall Workshop on Advanced Research Computing Resources

Installing your software packages with Spack

Interactive Interfaces for Machine Learning Using Gradio

The Nibi's web interface

Migrating to the upgraded national systems

Effortless Parallelism: Leveraging Julia Threads for High-Performance Scientific Computing

Practical Multidimensional Arrays and Linear Algebra in C++

Checkpoints: why, when and how

Parallel Programming: MPI I/O Advanced Features

Too Big to Train: Large model training in PyTorch with Fully Sharded Data Parallel

Revisiting Cython: Is it still effective?

Preview of the "Job Scheduling and Monitoring" self-paced course

Reduction of errors, or the pursuit of correctness

High-Performance Data Science with Modern C++: Xeus-Cling and G3P

Converting Python code with NumPy to run on the GPU

Unlocking the Power of Comet: Streamlining Machine Learning Experimentation

Data Wrangling with Tidyverse (part 3)

Causal Inference using Probabilistic Variational Causal Effect in Observational Studies

Survival guide for the upcoming GPU upgrades (more total power, but fewer GPUs)

Git Part 3: Managing Workflows

Graham update

Parallel Programming: MPI I/O Basics

Introspection for Jobs: in-job monitoring of performance

Multidimensional Arrays in C++

Debugging and Optimization of PyTorch Models

Using machine learning to predict rare events

Diagnosing Wasted Resources from User Facing Portals on the National Clusters

The Emergence of WebAssembly (Wasm) in Scientific Computing

Exploring Compute Usage from User Facing Portals on the National Clusters