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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 Continues Integration
9. Package Development
10. Reproducible Research

AI Tools and Workflows

11. Data Discovery and Tokenization

Neuro AI Workflows

12. Spike Sorting

AI Scaling and Engineering

13. Scalability
14. Efficiency
15. Experiment Management
- 15.1. Weights & Biases (WandB)

Security and Compliance

16. Security and Compliance

Open Source Hub

17. Open Source Hub

Support

18. Support and Troubleshooting
- 18.1. FAQ

Workshops and Trainings

Sessions
- Spring 24, March

Repository
Open issue

.md

Reproducible Research

10. Reproducible Research#

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9. Package Development

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11. Data Discovery and Tokenization

By Kempner Institute

© Copyright 2024, The President and Fellows of Harvard College.