From ded4a05f2bab294cdfd7aa7b782caf1a62935cc7 Mon Sep 17 00:00:00 2001 From: pareenaverma Date: Fri, 26 Jul 2024 09:39:02 -0400 Subject: [PATCH] Update page1.md Fixed bug --- .../learning-paths/cross-platform/kleidiai-explainer/page1.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/learning-paths/cross-platform/kleidiai-explainer/page1.md b/content/learning-paths/cross-platform/kleidiai-explainer/page1.md index 3704cd143..373e8d08b 100644 --- a/content/learning-paths/cross-platform/kleidiai-explainer/page1.md +++ b/content/learning-paths/cross-platform/kleidiai-explainer/page1.md @@ -46,7 +46,7 @@ Each KleidiAI matrix multiplication micro-kernel uses a specific Arm architectur * **FMLA**: This instruction, which stands for *Floating-point Multiply Accumulate*, is for 16-bit operations. It is included as part of the Advanced SIMD extension, multiplying and accumulating two vectors together, each containing eight 16-bit numbers. View the `FMLA` documentation [here](https://developer.arm.com/documentation/ddi0602/2024-03/SIMD-FP-Instructions/FMLA--vector---Floating-point-fused-Multiply-Add-to-accumulator--vector--). -* **FMOPA**: This instruction stands for *Floating-point outer product and accumulate*. It is included in the Arm Scalable Vector Extension 2 (SVE2). The single precision `FMOPA` variant enables optimized matrix multiplication on 32-bit numbers. View the `FMOPA` documentation [here](https://developer.arm.com/documentation/ddi0602/2023-12/SME-Instructions/FMOPA--non-widening---Floating-point-outer-product-and-accumulate-?lang=en). +* **FMOPA**: This instruction stands for *Floating-point outer product and accumulate*. It is included in the Arm Scalable Matrix Extension (SME). The single precision `FMOPA` variant enables optimized matrix multiplication on 32-bit numbers. View the `FMOPA` documentation [here](https://developer.arm.com/documentation/ddi0602/2023-12/SME-Instructions/FMOPA--non-widening---Floating-point-outer-product-and-accumulate-?lang=en). Today, Arm-powered hardware containing these instructions exist in cloud servers and smartphones. Here are some examples of the first products from popular vendors that support KleidiAI: