Software for AI hardware

Embedded Machine Learning for Dummies fromARM

podcast OctoML: Automated Deep Learning Engineering with Jason Knight and Luis Ceze Software Engineering Daily

https://www.quora.com/What-does-the-terms-Top-1-and-Top-5-mean-in-the-context-of-Machine-Learning-research-papers-when-report-empirical-results

The output of the network at test time is a score per class (typically 1000 classes for image net). The top 5 performance checks whether the right class label is among the 5 highest output scores. It's a laxer measure than top 1 (whether the top scoring class is the correct label). You can check the imagenet competition, I think this is explained there in more detail

Google research 2021

LEARNED HARDWARE/SOFTWARE CO-DESIGN OF NEURAL ACCELERATORS Zhan Shi, Chirag Sakhuja

https://tvm.apache.org/

An End to End Machine Learning Compiler Framework for CPUs, GPUs and accelerators

Cloudflare

Cloudflare's Intelligent Design Byrne Hobart

https://stratechery.com/2021/cloudflare-on-the-edge/

https://blog.cloudflare.com/cloudflare-workers-serverless-week/