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Kempner Computing Handbook

High Performance Computing

1. Kempner AI Cluster
2. Job Submission
3. Development Environment
4. Storage and Data Transfer

Software Engineering for Research

5. Collaborative Code Development
6. Software Design Principles
7. Documentation and Readability
8. Testing and Continuous Integration
9. Package Development
10. Reproducible Research

AI Tools and Workflows

11. Data Discovery and Tokenization
12. Distributed Inference
13. NVIDIA NeMo Workflow
14. Scalable Vision Workflows
15. Hugging Face Models
16. KempnerPulse
17. KempnerForge

Neuro AI Workflows

18. Spike Sorting

AI Scaling and Engineering

19. Scalability
20. Efficiency
21. Experiment Management
- 21.1. Weights & Biases - Intro
- 21.2. Weights & Biases - Sweeps

Security and Compliance

22. Security and Compliance

Open Source Hub

23. Open Source Hub

Support

24. Support and Troubleshooting
- 24.1. FAQ

Workshops

25. About Workshops @ Kempner

Repository
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Performance Monitoring

20.2. Performance Monitoring#

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20.1. ML Efficiency

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20.3. Deployment and Inference

By Kempner Institute

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