---
id: pr-deepgemm-68
repo: deepseek-ai/DeepGEMM
pr: 68
title: Correctly flush L2 (+performance impact & upcoming optimization fork)
author: ademeure
date: '2025-03-16'
url: https://github.com/deepseek-ai/DeepGEMM/pull/68
source_category: upstream-code
architectures:
- sm90
tags:
- TMA
- benchmark
- benchmark_test
- fp8
- gemm
- gemm_quant
- grouped gemm
techniques:
- async-copy
- fine-grained-quantization
hardware_features:
- fp8
- tma
kernel_types:
- gemm
languages:
- ptx
captured_at: '2026-05-16'
status: merged
merge_sha: 3b3783d06cd4d06ac4ba048633e604151d1ee535
inclusion_reason: Mine shape sets, tolerance rules, warmup logic, and profile commands before mutating code.
changed_paths:
- deep_gemm/utils.py
- tests/test_core.py
artifact_dir: evidence/pull-bundles/deepgemm/gh-68
head_ref_oid: 6cbff5778fabab426a2ac2f66dabe76f44c6bef3
---
# Correctly flush L2 (+performance impact & upcoming optimization fork)

- Repository: `deepseek-ai/DeepGEMM`
- PR: [68](https://github.com/deepseek-ai/DeepGEMM/pull/68)
- Decision: `Mine shape sets, tolerance rules, warmup logic, and profile commands before mutating code.`
- Reason: Mine shape sets, tolerance rules, warmup logic, and profile commands before mutating code.

## Changed Paths

- `deep_gemm/utils.py`
- `tests/test_core.py`

## Evidence Bundle

`evidence/pull-bundles/deepgemm/gh-68`
