xcrossfire

Why XCrossfire?

Searching very large unsorted datasets efficiently is a common systems programming challenge.

XCrossfire explores a hardware-aware approach that focuses on:

- Efficient CPU utilization

- SIMD vector processing

- Low-overhead native execution

- Python/C++ interoperability

- Zero-copy style memory interaction where applicable

The goal is to improve practical execution performance while keeping the original dataset unchanged.

---

Features

- Native C++ search engine

- Python bindings

- AVX2 SIMD acceleration

- Multi-threaded execution

- Large dataset support

- Low memory overhead

- Benchmark framework included

- Open-source implementation

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

xcrossfire-1.0.1.tar.gz (681.3 kB view details)

Uploaded Jun 23, 2026 Source

If you're not sure about the file name format, learn more about wheel file names.

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

xcrossfire-1.0.1-py3-none-any.whl (686.8 kB view details)

Uploaded Jun 23, 2026 Python 3

Details for the file xcrossfire-1.0.1.tar.gz.

Details for the file xcrossfire-1.0.1-py3-none-any.whl.