A Curated Paper List for Learning Distributed LLM Training and Inference
East-Muffin-6472 · reddit · 2026-09-26
- A Reddit user shares a minimal reading path for LLM distributed training and inference, advocating reading only what's needed and getting hands-on quickly.
- Core topics covered: data/distributed parallelism, tensor parallelism, pipeline parallelism, and model parallelism.
- Includes a curated, beginner-friendly paper collection from three months of reading (shared via an alphaxiv folder) and a reference implementation repo, smolcluster (GitHub: YuvrajSingh-mist/smolcluster), with basic implementations by the author.
- The suggested approach: read, code, and play with them; the repo is actively maintained and feedback is welcome.
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