#matrix-multiplication

The latest AI and developer news about #matrix-multiplication, with the original source and a short summary.

Google DeepMind open-sources AlphaEvolve code and verification notebooks for new math results

The repository includes a minimal implementation of AlphaEvolve, data for a new upper bound on the matrix multiplication exponent, and verification code for 15 mathematical problems.

·1·2026.11.05 09:00

The Performance Engine of AI Chips, Systolic Array

This analysis examines the design principles and efficiency of the Systolic Array, which accounts for over 95% of the performance of modern AI chips.

·1·2026.07.16 09:00

AI Compute Extensions (ACE) Specification

ACE, a new compute extension specification for accelerating ML workloads on the x86 architecture, has been defined.

·1·2026.06.18 11:00

Calculating Large-Scale Inference Costs with a Simple Formula

This explains how to calculate per-user inference costs for a SaaS product using GPU specs and model parameters.

·1·2026.06.15 09:00

Optimizing Recommendation System with JDK Vector API

Netflix reduced CPU usage in recommendation score calculation through batching, flat buffers, and the JDK Vector API.

·2026.03.03 10:00