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FeatherAttn kernel boosts AI model training speed on RDNA3/3.5 GPUs

By PulseAugur Editorial · [1 sources] ·

A new attention backward kernel called FeatherAttn has been developed for RDNA3/3.5 GPUs, offering significant speedups over existing implementations like FlashAttn. When tested on Strix Halo hardware, FeatherAttn demonstrated a 4x speed increase for a head dimension of 128 and a 1.3x increase for a head dimension of 64. This optimization is particularly relevant for recent AI models that utilize a head dimension of 128, such as Anima, Krea 2, MOSS, and H3, and has been shown to accelerate LoRA training by up to 40%. AI

IMPACT Accelerates AI model training and LoRA fine-tuning on compatible hardware.

RANK_REASON New kernel optimization for AI model training on specific hardware. [lever_c_demoted from research: ic=1 ai=0.7]

Read on r/StableDiffusion →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

FeatherAttn kernel boosts AI model training speed on RDNA3/3.5 GPUs

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New kernel optimization for AI model training on specific hardware. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. r/StableDiffusion TIER_2 English(EN) · /u/woct0rdho ·

    FeatherAttn: Attention backward kernel on Strix Halo, 4x fast as FlashAttn

    <!-- SC_OFF --><div class="md"><p><a href="https://github.com/woct0rdho/feather-attn">https://github.com/woct0rdho/feather-attn</a></p> <p>On RDNA3/3.5 GPUs, FlashAttn wires to Triton kernels in AITER (AMD's kernel collection). The fwd kernel is fast enough, but it seems no one h…

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