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WMMA guide for AMD RDNA 4 architecture GPUs - part 3

WMMA guide for AMD RDNA 4 architecture GPUs - part 3

Learn how to implement fast in-register matrix transpose on AMD RDNA™ 4 architecture GPUs with a WMMA-based identity trick, delivering a lightweight, memory-free alternative proven in Llama.cpp.
WMMA guide for AMD RDNA 4 architecture GPUs - part 2

WMMA guide for AMD RDNA 4 architecture GPUs - part 2

Achieve peak AMD RDNA™ 4 architecture memory bandwidth for low-precision GEMM by fusing WMMA to double the K dimension, enabling 128-bit loads for FP8/INT8, and matching hipBLAS results bit-for-bit.
WMMA guide for AMD RDNA 4 architecture GPUs - part 1

WMMA guide for AMD RDNA 4 architecture GPUs - part 1

Practical guide to fusing GEMMs on AMD RDNA™ 4 architecture, covering WMMA layout, a transpose-by-swapping A/B technique, HIP sample code, and hipBLAS-verified results used in Llama.cpp.
Announcing AMD Schola v2.1: state trees, scale, and a richer training stack

Announcing AMD Schola v2.1: state trees, scale, and a richer training stack

AMD Schola v2.1 deepens Unreal Engine integration, adding StateTree support, Kubernetes-oriented distributed training, stronger Minari workflows, and much more to streamline training and inference at scale.
How GOALS delivers sustained, competitive esports performance on handheld PCs - part 1

How GOALS delivers sustained, competitive esports performance on handheld PCs - part 1

The first part of a developer-first look at how GOALS leverages AMD Ryzen APUs and the ADLX SDK to implement a system that reduces power, fan noise and carbon footprint across legacy and handheld hardware while preserving competitive performance.
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