All Projects → rust-math → intel-mkl-src

rust-math / intel-mkl-src

Licence: other
Redistribute Intel MKL as a crate

Programming Languages

rust
11053 projects

Projects that are alternatives of or similar to intel-mkl-src

monolish
monolish: MONOlithic LInear equation Solvers for Highly-parallel architecture
Stars: ✭ 166 (+219.23%)
Mutual labels:  blas, lapack, mkl
mkl fft
NumPy-based Python interface to Intel (R) MKL FFT functionality
Stars: ✭ 52 (+0%)
Mutual labels:  fft, mkl
URT
Fast Unit Root Tests and OLS regression in C++ with wrappers for R and Python
Stars: ✭ 70 (+34.62%)
Mutual labels:  blas, mkl
mir-glas
[Experimental] LLVM-accelerated Generic Linear Algebra Subprograms
Stars: ✭ 99 (+90.38%)
Mutual labels:  blas, lapack
Eigen Git Mirror
THIS MIRROR IS DEPRECATED -- New url: https://gitlab.com/libeigen/eigen
Stars: ✭ 1,659 (+3090.38%)
Mutual labels:  blas, lapack
analisis-numerico-computo-cientifico
Análisis numérico y cómputo científico
Stars: ✭ 42 (-19.23%)
Mutual labels:  blas, lapack
mfi
Modern Fortran Interfaces to BLAS and LAPACK
Stars: ✭ 31 (-40.38%)
Mutual labels:  blas, lapack
Compute.NET
.NET bindings for native numerical computing
Stars: ✭ 30 (-42.31%)
Mutual labels:  blas, lapack
MatlabJuliaMatrixOperationsBenchmark
Benchmark MATLAB & Julia for Matrix Operations
Stars: ✭ 21 (-59.62%)
Mutual labels:  blas, lapack
linnea
Linnea is an experimental tool for the automatic generation of optimized code for linear algebra problems.
Stars: ✭ 60 (+15.38%)
Mutual labels:  blas, lapack
getfem
Mirror of GetFEM repository
Stars: ✭ 23 (-55.77%)
Mutual labels:  science
unity-music-visualizer
Basic music visualization project for Unity.
Stars: ✭ 39 (-25%)
Mutual labels:  fft
covid19 scenarios data
Data preprocessing scripts and preprocessed data storage for COVID-19 Scenarios project
Stars: ✭ 43 (-17.31%)
Mutual labels:  science
gpyfft
python wrapper for the OpenCL FFT library clFFT
Stars: ✭ 52 (+0%)
Mutual labels:  fft
fenris
A library for advanced finite element computations in Rust
Stars: ✭ 52 (+0%)
Mutual labels:  science
lubeck
High level linear algebra library for Dlang
Stars: ✭ 57 (+9.62%)
Mutual labels:  blas
sparse
Sparse matrix formats for linear algebra supporting scientific and machine learning applications
Stars: ✭ 136 (+161.54%)
Mutual labels:  blas
mxfactorial
a payment application intended for deployment by the united states treasury
Stars: ✭ 36 (-30.77%)
Mutual labels:  science
fmcw-RADAR
[mmWave based fmcw radar design files] based on AWR1843 chip operating at 76-GHz to 81-GHz.
Stars: ✭ 41 (-21.15%)
Mutual labels:  fft
aletheia-app
Alethia peer to peer publishing platform
Stars: ✭ 46 (-11.54%)
Mutual labels:  science

intel-mkl-src

crate crate.io docs.rs master description
intel-mkl-src crate docs.rs crate Source crate for Intel-MKL
intel-mkl-sys Crate docs.rs Crate FFI for Intel-MKL vector math, and statistical functions
intel-mkl-tool Crate docs.rs Crate Seek Intel-MKL libraries from filesystem

Usage

intel-mkl-src crate is a *-src crate. This links MKL libraries to executable build by cargo, but does not provide Rust bindings. Please use blas-sys, lapack-sys, or fftw-sys to use BLAS, LAPACK, FFTW interface of MKL, e.g.

[dependencies]
fftw-sys = { version = "0.4", features = ["intel-mkl"] }

Binding to MKL specific features are provided by intel-mkl-sys crate. This contains

How to find system MKL libraries

intel-mkl-tool crate seeks system MKL library installed by various installer as following manner:

  • Seek using pkg-config command
  • Seek ${MKLROOT} directory
  • Seek default installation path
    • /opt/intel/mkl for Linux
    • C:/Program Files (x86)/IntelSWTools/ and C:/Program Files (x86)/Intel/oneAPI for Windows

If intel-mkl-tool does not find MKL library, intel-mkl-src try to download MKL binaries from GitHub Container Registry (ghcr.io).

Supported features

There are 8 (=2x2x2) mkl-*-*-* features to specify how to link MKL libraries. If any feature is set, default to mkl-static-ilp64-iomp.

Link type (static or dynamic)

dynamic means MKL is linked dynamically, i.e. the executable does not contains MKL libraries and will seek them from filesystem while execution. This is better choice when the MKL libraries are managed by the system package manager e.g. apt.

static means MKL is linked statically, i.e. the MKL binaries are embedded in the executable file. This is better choice when creating portable executable.

Data model (lp64 or ilp64)

This specify the data model:

  • ilp64 means int (i), long (l), and pointers (p) are 64-bit.
  • lp64 means long (l) and pointers (p) are 64-bit, int is 32-bit.

Thread management (iomp or seq)

  • iomp means MKL uses Intel OpenMP runtime
  • seq means sequential (single thread) execution

Using GNU OpenMP runtime (libgomp) is not supported yet. Please see #97

License

MKL is distributed under the Intel Simplified Software License for Intel(R) Math Kernel Library, See License.txt. Some wrapper codes are licensed by MIT License (see the header of each file).

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].