Скачать или смотреть Parallel computing hardware

This is an extremely rough overview of parallelism in CPUs and GPUs (and some brief comments on TPUs based on the extremely limited information currently available). Primary audience is software developers who work in high level languages and concepts, especially machine learning applications.

I'm sure I've said something that's inaccurate. Please forgive that and use this as the foundation for doing your own research more deeply into any of these topics. Also, images used in the slides came from random image searches based on the topics. If I inadvertently used an image with restricted rights, please let me know and I will do my best to remedy this immediately.

One image credit to Dr. Yale Patt at the University of Texas and Dr. Sanjay J. Patel at the University of Illinois at Urbana/Champaign for the architectural diagram of the LC-3, an instructional microchip architecture.