Tech Discussion

[cognitive88]

Tech Discussion

[cognitive88]

-----Reading List-----

Blogs

• https://tridao.me/cos597a/: Tri-dao's Princeton COS 597A: Efficient Systems for Foundation Models (Fall 2025)
• https://veitner.bearblog.dev/blog/
• https://www.aleksagordic.com/blog/matmul
• https://www.kapilsharma.dev/posts/learn-cutlass-the-hard-way/
• https://andreasholt.com/posts/gpu-vs-cpu-matmul/
• https://research.colfax-intl.com/
• https://lilianweng.github.io/posts/2023-01-10-inference-optimization/
• https://blog.vllm.ai/2025/11/13/shm-ipc-cache.html
• https://magazine.sebastianraschka.com/

Videos

• https://www.youtube.com/@GPUMODE/videos
• https://pytorchconference.sched.com/list/simple
• https://pytorchconference.sched.com/event/27QCV/the-future-is-tiled-using-cutile-and-tileir-to-write-portable-high-performance-gpu-kernels-jared-roesch-nvidia

Sites

• https://www.alphaxiv.org/

[khyeongkyun]

MOOC

• MIT HAN Lab - TinyML and Efficient Deep Learning Computing

[kimminsu38oo]

Beyond Standard LLMs

• https://sebastianraschka.com/blog/2025/beyond-standard-llms.html

Continuous Autoregressive Language Models

• https://arxiv.org/pdf/2510.27688

TiDAR: Think in Diffusion, Talk in Autoregression

• https://arxiv.org/pdf/2511.08923