npynuma
NUMA node allocation for NumPy arrays on Linux
Install System Requirements
# Ubuntu/Debian
sudo apt install libnuma-dev
# Fedora/CentOS
sudo dnf install numactl-devel
# Python package
git clone https://github.com/xsgeng/npynuma
cd npynuma
pip install .
pip install npynuma # not yet
Quick Start
import numpy as np
from npynuma import NumaPolicy
with NumaPolicy(node=1): # Allocate on NUMA node 1
large_array = np.empty(10_000_000) # 80MB array on node 1
# Works with existing numpy functions
with NumaPolicy(node=0):
random_data = np.random.normal(size=1_000_000)
Notes
- Requires Linux NUMA system (
numactlinstalled) - Node numbers must exist on your system
Thread Safety
⚠️ Not thread-safe - The NUMA policy context is global to the process.
Avoid using NumaPolicy contexts concurrently in:
- Multithreaded applications
- Async frameworks
- Any parallel code sharing NumPy allocations
1 maintainer
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