- Things that everyone needs to know - Cheat sheet for class "Hardware Accelerators for Machine Learning".
- KubeFlow - ML platform supporting all steps of model development life cycle; the end of chapter contains material about alternative platforms and great references.
- Google AI's CO2 Footprint - Article by David Patterson, 2017 ACM A.M Turing Award winner.
- Scalable Dataframe Systems - Modin is a very easy to use library that addresses Pandas' scalability issues.
- KMN - The power of choice in data-aware cluster scheduling.
- BytePS - Effective utilization of both CPU and GPU resources during DL training.
- Omega - Flexible, scalable shared-state schedulers for large compute clusters.
- Ghostor - Secure data-sharing system from decentralized trust.
- OSTEP - Free Operating Systems book from professors at UW Madison.
- How to Avoid a Climate Disaster - Great book from Bill Gates, also check out the website of his organization - Breakthrough Energy, funding technologies contributing to zero-carbon future.
- Light Node - How to interact with Ethereum network using just 400MB of storage.
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