AWhat changed
Fused quantization-related packing, row-offset computation and output processing with CPU matrix multiplication, using shape-specific runtime code generation and cached kernels to accelerate inference.
Scientific scope
Fused quantization-related packing, row-offset computation and output processing with CPU matrix multiplication, using shape-specific runtime code generation and cached kernels to accelerate inference. 2021 is the cited technical-report release, not a claim that deployment or kernel work began then. This report concerns CPU FBGEMM, not all later FBGEMM_GPU work. It leaves threading orchestration to callers; INT16 accumulation can overflow and needs the stated handling. Speed and accuracy depend on shape, hardware and quantization.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. 2021 is the cited technical-report release, not a claim that deployment or kernel work began then. This report concerns CPU FBGEMM, not all later FBGEMM_GPU work. It leaves threading orchestration to callers; INT16 accumulation can overflow and needs the stated handling. Speed and accuracy depend on shape, hardware and quantization.
Contributors
- Source-listed authors and technical contributors · SCIENCE: Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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