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Part 2 of this two-part blog introduces some of the instructions that SME provides. ... SME instructions that interact with the SME ZA storage include the following: ... Instructions that accumulate or subtract the outer product of two vectors into a ZA tile
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This blog describes how to implement the same matrix-matrix multiplication algorithm using three different Arm technologies: Neon, SVE, and SME. ... Presenting these three examples together highlights some key differences between the technologies and is intended to help developers who want to port code from Neon or SVE/SVE2 to SME/SME2.
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Arm Scalable Matrix Extension (SME) is an architecture extension that provides enhanced support for matrix operations. ... SME defines the following new features: ... A new architectural state capable of holding two-dimensional matrix tiles.
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Part 2: Arm Scalable Matrix Extension (SME) Instructions

Architectures and Processors blog

Part 3: Matrix-matrix multiplication. Neon, SVE, and SME compared

Architectures and Processors blog

Part 1: Arm Scalable Matrix Extension (SME) Introduction

Architectures and Processors blog
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Part 2: Arm Scalable Matrix Extension (SME) Instructions
Architectures and Processors blog Votes Views Repliesby Zenon Xiu (修志龙)Latest: NaN days ago
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Part 3: Matrix-matrix multiplication. Neon, SVE, and SME compared
Architectures and Processors blog Votes Views Repliesby Khalid SaadiLatest: NaN days ago
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Part 1: Arm Scalable Matrix Extension (SME) Introduction
Architectures and Processors blog Votes Views Repliesby Zenon Xiu (修志龙)Latest: NaN days ago

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