A tale of matrix multiplication for machine learning using WASM" is a talk that will explore the use of WebAssembly (WASM) to improve matrix multiplication for machine learning. The talk will focus on how matrix multiplication is done in machine learning, and how WASM can be used to optimize this process through the use of various tricks and techniques. The talk will include a demonstration of how to use Rust and TensorFlow to perform matrix multiplication in WASM and compare its performance to traditional methods.
The talk will begin by providing an overview of matrix multiplication in machine learning and its importance. The speaker will then delve into the technical details of how WASM can be used to optimize matrix multiplication through the use of various tricks and techniques. They will also provide a demonstration of how to use Rust and TensorFlow to perform matrix multiplication in WASM and compare its performance to traditional methods.