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4-bit Batched GEMM on Commodity Hardware: Roofline Analysis, big.LITTLE Scheduling, and Batched Arithmetic Intensity Scaling to 243 GMACs/s on a Commercial Mobile SoC.

Fuente: Zenodo

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Détails bibliographiques
Auteur principal:	Pirolo, Andrés Sebastián
Format:	Recurso digital
Publié:	Zenodo 2026
Sujets:	GEMM Edge AI mobile inference INT4 quantization Green AI
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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