Blog posts about Optimization

The Twitter Cortex team has been focused on improving content understanding to extract new topics, promote healthy co...

Flame graphs have become an industry standard for CPU performance analysis. This visualization excels at showcasing t...

By Anupom Syam

In the previous post in our series on distributed training of sparse ML models, we described the techniques we use to...

In Part 1, on network bottleneck issues, we discussed the sparse models that are common at Twitter and the difficulti...

At Twitter, we use machine learning (ML) models in many applications, from ad selection, to abuse detection, to conte...

We shipped a small, unnoticed change to our  iOS, Android and RWeb clients in January that had a great improvement fo...

Co-authors: Changji Shi and Adriel Fuad LinkedIn’s mission is to connect the world's professionals to make them more ...

Coauthors: Tao Feng, John Nicol, Chen Li, Peinan Chen, Hari Ramachandra LinkedIn has built hundreds of application se...

This is the second in a two-part series about how LinkedIn’s different business units use A/B testing and XLNT, our A...

This is the first in a two-part series about how LinkedIn’s different business units use A/B testing and XLNT, our A/...

Co-author: Cuong Tran Table of Contents Introduction Setting up the context Reproducing and understanding Linux's zon...