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World of Software > Computing > Vulkan 1.4.342 Published With Cooperative Matrix Conversion Extension
Computing

Vulkan 1.4.342 Published With Cooperative Matrix Conversion Extension

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Last updated: 2026/01/30 at 11:33 AM
News Room Published 30 January 2026
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Vulkan 1.4.342 Published With Cooperative Matrix Conversion Extension
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Following last week’s Vulkan spec updates that brought descriptor heaps and other notable new extensions and the Vulkan Roadmap 2026 Milestone, Vulkan 1.4.342 was published this morning as the latest routine spec update plus one new extension.

Vulkan 1.4.342 brings just a few fixes/clarifications to the existing documentation that aren’t too notable but does come with one new extension: VK_QCOM_cooperative_matrix_conversion.

Vulkan 1.4.342 spec update

The Qualcomm vendor extension VK_QCOM_cooperative_matrix_conversion adds support for new SPIR-V shader instructions to allow loading and storing a cooperative matrix without needing to stage through shared memory and to allow bit-casting arrays, per the extension text. The new SPIR-V instructions around this support are within SPV_QCOM_cooperative_matrix_conversion. For GLSL shaders the GLSL_QCOM_cooperative_matrix_conversion specification is also available for cooperative matrix conversion there.

Qualcomm’s problem statement that yielded this VK_QCOM_cooperative_matrix_conversion extension describes the shortcomings they found with the existing Cooperative Matrix extension:

“The baseline Cooperative Matrix extension achieves great performance boost for simple matrix multiplication operations when data is loaded to and from memory.

However, most use cases which leverage matrix multiplication hardware, such as Convolution and Large Language Models, require additional manipulation of input and output data which the opaque cooperative matrix objects do not support directly.

The cooperative matrix extension explicitly requires staging data through shared memory to perform these invocation-level manipulation operations. An extension is needed that allows implementations to create optimized data conversions between the invocation and subgroup scope without explicitly going through shared memory.”

More details for those interested via this Vulkan Docs commit.

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