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Cooperative Vectors Introduction

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Luca Quartesan

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Cooperative Vectors Introduction is a technical post on the Evolve benchmark site by Luca Quartesan on Cooperative Vectors (long vectors) for neural network inference and training inside shaders. It reflects lessons from integrating the feature in the Evolve rendering engine.

The article explains why divergent neural workloads such as Neural Materials and Neural Radiance Caching favor vector-matrix operations via cooperative vectors over cooperative matrix paths alone. It covers matrix layout choices, DirectX and Vulkan API surfaces, and separate discussion of inference versus training shader paths.

Graphics engineers implementing hardware-accelerated small MLPs in real-time renderers at an advanced level are the readers. Familiarity with recent DirectX 12 and Vulkan cooperative vector extensions is assumed.

The introduction is a free blog post linked from evolvebenchmark.com documentation. Evolve and cooperative vector write-ups appear in DirectX neural rendering feature discussions.