@vivekgalatage: The portal into the background of GPU architecture https://www2.eecs.berkeley.edu/Pubs/TechRpts/2016/Archive/EECS-2016-…
Summary
A technical report from UC Berkeley EECS that provides an in-depth exploration of GPU architecture background and design.
View Cached Full Text
Cached at: 09/27/26, 07:23 PM
The portal into the background of GPU architecture https://www2.eecs.berkeley.edu/Pubs/TechRpts/2016/Archive/EECS-2016-143.pdf
— Source: https://www2.eecs.berkeley.edu/Pubs/TechRpts/2016/Archive/EECS-2016-143.pdf
[Corrupted/Unreadable Text Section]
Similar Articles
@chessMan786: Fundamentals of GPU Architecture
A tweet shares a link to an article about the fundamentals of GPU architecture.
@vivekgalatage: It's super interesting to know the system architecture of the TPUs. https://henryhmko.github.io/posts/tpu/tpu.html…
A deep dive into Google's TPU architecture, explaining the design philosophy of systolic arrays, pipelining, and ahead-of-time compilation that enables high throughput and energy efficiency.
@vivekgalatage: Best structured reference I've found for GPU optimization - 450 papers, 14 years of research. Some techniques will have…
A tweet shares a structured reference of 450 papers on GPU optimization spanning 14 years, noting that while some techniques evolve, the mental models remain useful. It also references a lecture on GPU architectures by Onur Mutlu.
@vivekgalatage: GPU Programming Fundamentals https://youtu.be/Cl2B_hmg4gA William Brandon, a performance engineer at Anthropic, outline…
A summary of William Brandon's (performance engineer at Anthropic) GPU programming fundamentals lecture, emphasizing that understanding the streaming multiprocessor (SM) structure of GPU hardware is key to predicting performance, rather than starting solely from the software abstraction of thread blocks/threads.
@akshay_pachaar: https://x.com/akshay_pachaar/status/2087928032904523980
An educational thread explaining how GPUs work, focusing on the memory-compute asymmetry that dominates LLM serving performance, and demonstrating how techniques like quantization, speculative decoding, and continuous batching follow from that fundamental constraint.