Sparse CSR x CSR matrix multiplication with fused top-n selection (Rust).
Project description
sp_matmul_rs
Sparse CSR × CSR matrix multiplication with fused top-n selection per row —
a Rust port of sparse_dot_topn.
The default driver column-chunks B so that the dense accumulator and the
streamed B fragments stay resident in L1/L2 cache; this is the dominant
performance lever for very large, very sparse inputs and is built in, not bolted
on. Parallelism is provided by rayon (enabled by default); the Python
distribution releases the GIL around the kernel.
Python (PyPI)
pip install sp_matmul_rs
import numpy as np
from scipy import sparse
from sp_matmul_rs import sp_matmul_topn
A = sparse.random(1000, 1000, density=0.01, format="csr", dtype=np.float64)
B = sparse.random(1000, 1000, density=0.01, format="csr", dtype=np.float64)
C = sp_matmul_topn(A, B, top_n=10, sort=True, n_threads=-1)
The package imports as sp_matmul_rs and does not share its namespace with
sparse_dot_topn — both can be installed side-by-side in the same environment.
The Python surface (sp_matmul, sp_matmul_topn, zip_sp_matmul_topn) mirrors
sparse_dot_topn, so migration is typically a one-line import swap.
Supported
| Values | Indices | Python | Platforms |
|---|---|---|---|
| f32, f64, i32, i64 | i32, i64 | 3.9 – 3.13 | manylinux x86_64/aarch64, musllinux x86_64, macOS x86_64/arm64, Windows x86_64 |
Rust (crates.io)
[dependencies]
sp_matmul_rs = "0.1"
use sp_matmul_rs::{sp_matmul_topn, CsrView, SortMode, TopNOptions};
let c = sp_matmul_topn::<f64, i32>(
a_view,
b_view,
10,
TopNOptions { sort: SortMode::ByValue, ..Default::default() },
);
Features
| Feature | Default | What it enables |
|---|---|---|
rayon |
yes | Parallel column-chunked driver (parallel::*). |
python |
no | PyO3 + numpy bindings — used by the Python distribution. |
Module layout
| Module | Responsibility |
|---|---|
scalar |
Scalar trait + impls for f32, f64, i32, i64 |
index |
Index trait + impls for i32, i64 |
csr |
CsrView (borrowed) and CsrMatrix (owned) |
maxheap |
Bounded max-heap retaining top-n scores per row |
matmul |
Sequential sp_matmul (no top-n) |
matmul_topn |
Sequential sp_matmul_topn (single full-column path) |
chunked |
Column-chunked driver — the L1/L2 cache-blocking pillar |
zip |
zip_sp_matmul_topn for distributed/cluster results |
parallel |
Rayon-backed variants (feature rayon) |
python |
PyO3 + numpy bindings (feature python) |
Build from source
# Rust crate
cargo build --release # default features: rayon
cargo build --release --no-default-features
cargo test
cargo bench
# Python extension (requires maturin and CPython >=3.9)
pip install maturin
maturin develop --release --features python,rayon
python -c "import sp_matmul_rs; print(sp_matmul_rs.kernel_info())"
License
Apache-2.0. See LICENSE.
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