---
id: pr-cccl-cub-3517
repo: NVIDIA/cccl
pr: 3517
title: Fix the vectorized loading of BlockLoad
author: ChristinaZ
date: '2025-02-04'
url: https://github.com/NVIDIA/cccl/pull/3517
source_category: upstream-code
architectures:
- sm100
tags:
- benchmark_test
- memory_primitives
- topk
techniques:
- vectorized-loads
- warp-specialization
hardware_features: []
kernel_types:
- memory
languages:
- cuda-cpp
captured_at: '2026-05-16'
status: merged
merge_sha: dd6e66c435f4b91d50a96b778c13a4d788ac3056
inclusion_reason: Mine shape sets, tolerance rules, warmup logic, and profile commands before mutating code.
changed_paths:
- cub/cub/block/block_load.cuh
- cub/test/catch2_test_block_load.cu
artifact_dir: evidence/pull-bundles/cccl-cub/gh-3517
head_ref_oid: 4ae725bfe29ada384cf66bbb58fde24f8d6adb42
---
# Fix the vectorized loading of BlockLoad

- Repository: `NVIDIA/cccl`
- PR: [3517](https://github.com/NVIDIA/cccl/pull/3517)
- 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

- `cub/cub/block/block_load.cuh`
- `cub/test/catch2_test_block_load.cu`

## Evidence Bundle

`evidence/pull-bundles/cccl-cub/gh-3517`
