Study Notes
Short technical notes on concepts and implementation details.
About
I study AI systems through the lens of GPU computing, memory architecture, and computer systems research.
My current interests center on how AI workloads interact with the underlying machine. I use study notes, paper reviews, and project writeups to clarify the path from hardware constraints to system behavior.
The recurring themes are execution hierarchy, data movement, memory bandwidth, accelerator design, and practical measurement.
Short technical notes on concepts and implementation details.
Focused reviews of papers related to AI systems and architecture.
Implementation notes and takeaways from systems-oriented projects.