---
id: pr-cutlass-2256
repo: NVIDIA/cutlass
pr: 2256
title: Use cudaMemcpyAsync in gemm grouped with kRequiresPrecomputation sche…
author: HydraQYH
date: '2025-04-30'
url: https://github.com/NVIDIA/cutlass/pull/2256
source_category: upstream-code
architectures:
- sm100
tags:
- gemm_quant
- grouped gemm
- memory_primitives
- moe_routing
techniques:
- fine-grained-quantization
hardware_features: []
kernel_types:
- gemm
- memory
- moe
languages:
- cuda-cpp
- cute-dsl
captured_at: '2026-05-16'
status: merged
merge_sha: e5b810bed18697ac4708f8a7ee6911752b8eb655
inclusion_reason: Inspect scale layout, accumulator type, tile/schedule choice, epilogue fusion, and partial-tile guards before deriving a candidate.
changed_paths:
- include/cutlass/gemm/device/base_grouped.h
artifact_dir: evidence/pull-bundles/cutlass/gh-2256
head_ref_oid: 4413fb936da4fccd190469730f752924a7fa536e
---
# Use cudaMemcpyAsync in gemm grouped with kRequiresPrecomputation sche…

- Repository: `NVIDIA/cutlass`
- PR: [2256](https://github.com/NVIDIA/cutlass/pull/2256)
- Decision: `Inspect scale layout, accumulator type, tile/schedule choice, epilogue fusion, and partial-tile guards before deriving a candidate.`
- Reason: Inspect scale layout, accumulator type, tile/schedule choice, epilogue fusion, and partial-tile guards before deriving a candidate.

## Changed Paths

- `include/cutlass/gemm/device/base_grouped.h`

## Evidence Bundle

`evidence/pull-bundles/cutlass/gh-2256`
