In this blog we describe how we profiled Heron to identify performance limiting components, we highlight the optimizations, and we show how these optimizations improved throughput by 400-500% and reduced latency by 50-60%.
In 2015, we launched the official Twitter plugin for WordPress to help sites powered by WordPress embed Twitter content and grow their audience on Twitter. Today we’re excited to announce an update that makes it even easier than ever to bring fresh, relevant content into your WordPress-powered site.
We recently released Autograd for Torch, which greatly simplified our workflow when experimenting with complex deep learning architectures. The Twitter Cortex team is continuously investing in better tooling for manipulating our large datasets, and distributing training processes across machines in our cluster.
Today we’re open-sourcing four components of our training pipeline, so the community using Torch and/or Autograd can simplify their workflows when it comes to parallelizing training, and manipulating large, distributed datasets.