Support and exercise files for HPC, including the books and the course designed to help you learn and practice high-performance computing concepts. Exercises are provided to be run in an HPC cluster, and some can also be executed in Google Colab.
- Assignments: Practical assignments for each module of the course.
- Chapter Examples: Example notebooks to help you practice the concepts covered in the lessons.
- Cluster guide: Reusable SciTech HPC cluster access and Slurm instructions.
- Session demos: Small reproducible examples used during live sessions.
You can load the following notebooks directly from GitHub into JupyterHub by using the "File -> Open from URL" option in Jupyter.
1.M1.S1. Evolution and Fundamentals of HPC (1.1)
2.M1.S2. Architectural Overview of HPC Systems (1.2)
3.M1.S3. Resource Management & Performance Metrics in Parallel
4.M1.S4. Cloud-based HPC and Virtualization Containers in HPC
5.M1.S5. HPC in Health & Neurosciences (1.5)
9.M2.S4. GPU Computing, OpenACC, CUDA Basics (2.4)
- HPC Cluster: These notebooks are meant to be executed on an HPC cluster, but some can also run on platforms like Google Colab.
- Direct URL Loading: Use the provided raw GitHub links to load the notebooks directly into Jupyter or JupyterHub using the "File -> Open from URL" option.
Feel free to contribute to the course materials by creating pull requests, adding additional exercises, or reporting issues.
Current teaching notebooks are organized by Module → Session using the canonical MxSy identifier.
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M1.S1 - Fundamentals of HPC: from serial code to a supercomputer
- Session folder
- Notebook
- Raw URL for JupyterLab File -> Open from URL...:
https://raw.githubusercontent.com/OscarDiez/hpc_course/main/sessions/M1S1_fundamentals/M1S1_fundamentals.ipynb
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M1.S2 - Evolution of supercomputing and the modern HPC landscape
- Session folder
- Notebook
- Raw URL for JupyterLab File -> Open from URL...:
https://raw.githubusercontent.com/OscarDiez/hpc_course/main/sessions/M1S2_evolution_landscape/M1S2_evolution_landscape.ipynb
-
M1.S3 - Architecture of HPC systems
- Session folder
- Notebook
- Raw URL for JupyterLab File -> Open from URL...:
https://raw.githubusercontent.com/OscarDiez/hpc_course/main/sessions/M1S3_hpc_architecture/M1S3_hpc_architecture.ipynb
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M1.S4 - Resource management and performance metrics
- Session folder
- Notebook
- Raw URL for JupyterLab File -> Open from URL...:
https://raw.githubusercontent.com/OscarDiez/hpc_course/main/sessions/M1S4_resource_management/M1S4_resource_management.ipynb
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M1.S5 - Asynchronous Guided HPC Workflow
- Session folder
- Notebook
- Raw URL for JupyterLab File -> Open from URL...:
https://raw.githubusercontent.com/OscarDiez/hpc_course/main/sessions/M1S5_async_hpc_workflow/M1S5_async_hpc_workflow.ipynb
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M2.S1 — Parallel Thinking and Decomposition
- Session folder
- Notebook
- Raw URL for JupyterLab File → Open from URL...:
https://raw.githubusercontent.com/OscarDiez/hpc_course/main/sessions/M2S1_parallel_thinking/M2S1_parallel_thinking.ipynb
-
M2.S2 — Shared-memory computing with OpenMP
- Session folder
- Notebook
- Raw URL for JupyterLab File → Open from URL...:
https://raw.githubusercontent.com/OscarDiez/hpc_course/main/sessions/M2S2_openmp/M2S2_openmp.ipynb
-
M2.S3 — Distributed-memory computing with MPI
- Session folder
- Notebook
- Raw URL for JupyterLab File → Open from URL...:
https://raw.githubusercontent.com/OscarDiez/hpc_course/main/sessions/M2S3_mpi/M2S3_mpi.ipynb
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M2.S4 — Introduction to GPU and Accelerator Computing
- Session folder
- Notebook
- Raw URL for JupyterLab File → Open from URL...:
https://raw.githubusercontent.com/OscarDiez/hpc_course/main/sessions/M2S4_gpu_accelerators/M2S4_gpu_accelerators.ipynb
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M2.S5 - Asynchronous Guided Lab: One Parallel Application
- Session folder
- Notebook
- Raw URL for JupyterLab File -> Open from URL...:
https://raw.githubusercontent.com/OscarDiez/hpc_course/main/sessions/M2S5_async_parallel_app/M2S5_async_parallel_app.ipynb
Legacy notebooks remain in
chapters_examples/andx_archive/. New 2026 notebooks usesessions/MxSy_topic/.