XLA - TensorFlow, compiled- Google Developers Blog
Mar 6, 2017

Summary
This post introduces XLA (Accelerated Linear Algebra), a compiler for linear algebra that can be used to optimize TensorFlow computations. XLA aims to improve performance by fusing operations and optimizing for specific hardware targets. It supports TensorFlow's computation graph and can be used to compile models for CPUs, GPUs, and TPUs.
More from the TensorFlow Machine Learning Framework trail
- Decoding cosmic signals with deep learning and Keras- Google Developers Blog
- Enterprise-Grade Precision for Long-Context Multimodal Embedding Inference on Cloud TPU- Google Developers Blog
- HeyGen x Google Cloud: Bringing Avatar IV to TPUs- Google Developers Blog
- Run Ray on TPU, Part 2: Ray AI libraries- Google Developers Blog
- Run Ray on TPU, Part 1: The foundations- Google Developers Blog