[[bench]]
harness = false
name = "benchmarks"
path = "benches/benchmarks.rs"
[build-dependencies.autocfg]
version = "1"
[dependencies.num_cpus]
optional = true
version = "1.13"
[dependencies.once_cell]
optional = true
version = "1.7"
[dependencies.rawpointer]
version = "0.2"
[dependencies.thread-tree]
optional = true
version = "0.3.2"
[dev-dependencies.bencher]
version = "0.1.2"
[dev-dependencies.itertools]
version = "0.8"
[[example]]
name = "benchmark"
path = "examples/benchmark.rs"
[[example]]
name = "usegemm"
path = "examples/usegemm.rs"
[features]
cgemm = []
constconf = []
default = ["std"]
std = []
threading = ["thread-tree", "std", "once_cell", "num_cpus"]
[lib]
bench = false
name = "matrixmultiply"
path = "src/lib.rs"
[package]
authors = ["bluss", "R. Janis Goldschmidt"]
autobenches = false
autobins = false
autoexamples = false
autotests = false
build = "build.rs"
categories = ["science"]
description = """
General matrix multiplication for f32 and f64 matrices. Operates on matrices with general layout (they can use arbitrary row and column stride). Detects and uses AVX or SSE2 on x86 platforms transparently for higher performance. Uses a microkernel strategy, so that the implementation is easy to parallelize and optimize.
Supports multithreading."""
documentation = "https://docs.rs/matrixmultiply/"
edition = "2018"
exclude = ["docs/*"]
keywords = ["matrix", "sgemm", "dgemm"]
license = "MIT/Apache-2.0"
name = "matrixmultiply"
readme = false
repository = "https://github.com/bluss/matrixmultiply/"
version = "0.3.9"
[package.metadata.docs.rs]
features = ["cgemm"]
rustdoc-args = ["--cfg", "docsrs"]
[package.metadata.release]
no-dev-version = true
tag-name = "{{version}}"
[profile.bench]
debug = 2
[profile.release]
debug = 2
[[test]]
name = "sgemm"
path = "tests/sgemm.rs"