To make your visit possibly worthwhile...Some links which may interest you
Some interesting resources I recently checked
https://www.righto.com/
Graphics Pipeline
Evolution Primer
Discussion on GPU Performance in DL
GPU Architecture Overview
https://docs.nvidia.com/cuda/cuda-c-programming-guide
https://manybutfinite.com/post/motherboard-chipsets-memory-map/
https://manybutfinite.com/post/anatomy-of-a-program-in-memory/
https://tldp.org/LDP/tlk/mm/memory.html
https://www.historyofdatascience.com/
Recently read interesting papers
The Case for the Reduced Instruction Set Computer
Accelerating ML/DL Applications With Hierarchical Caching on Deduplication Storage Clusters
Accelerating Fibre Orientation Estimation from Diffusion Weighted Magnetic Resonance Imaging Using GPUs
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
Rethinking Pre-training and Self-training
MLaaS in the wild: Workload analysis and scheduling in Large-Scale heterogeneous GPU clusters