Intel® oneAPI Math Kernel Library
Project description
Intel® oneAPI Math Kernel Library (Intel® oneMKL) is a computing math library of highly optimized, extensively threaded routines for applications that require maximum performance. This package provides C and Data Parallel C++ (DPC++) programming language interfaces. Intel MKL C language interfaces can be called from applications written in either C or C++, as well as in any other language that can reference a C interface. Use it to optimize code for current and future generations of Intel® CPUs and GPUs.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
| Filename, size | File type | Python version | Upload date | Hashes |
|---|---|---|---|---|
| Filename, size mkl_include-2021.1.1-py2.py3-none-macosx_10_15_x86_64.whl (892.0 kB) | File type Wheel | Python version py2.py3 | Upload date | Hashes View |
| Filename, size mkl_include-2021.1.1-py2.py3-none-manylinux1_i686.whl (804.8 kB) | File type Wheel | Python version py2.py3 | Upload date | Hashes View |
| Filename, size mkl_include-2021.1.1-py2.py3-none-manylinux1_x86_64.whl (1.1 MB) | File type Wheel | Python version py2.py3 | Upload date | Hashes View |
| Filename, size mkl_include-2021.1.1-py2.py3-none-win32.whl (951.4 kB) | File type Wheel | Python version py2.py3 | Upload date | Hashes View |
| Filename, size mkl_include-2021.1.1-py2.py3-none-win_amd64.whl (1.1 MB) | File type Wheel | Python version py2.py3 | Upload date | Hashes View |
Close
Hashes for mkl_include-2021.1.1-py2.py3-none-macosx_10_15_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 23d8b4d08b2aae18f0034edc706350dcad6cf8ff0a97cbdbbb74747bfe01edd6 |
|
| MD5 | a5078a66ab5732020c8283eab8c1a0e4 |
|
| BLAKE2-256 | 53e8fb90b7cf1a4f60fbb5c4272dc155c0459e6b12812da02c9ba66d56d5e0e9 |
Close
Hashes for mkl_include-2021.1.1-py2.py3-none-manylinux1_i686.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 5f017620b10ed9e95f449f6f0f7d2eb088faff4500b48feb11d7c44ef702dab6 |
|
| MD5 | f528b9a4f71dbd0de89efb37a5531fd6 |
|
| BLAKE2-256 | 7cadb3aff5cfcc6471b67d4b1769375a0427daa1455999c6096518837d60f964 |
Close
Hashes for mkl_include-2021.1.1-py2.py3-none-manylinux1_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 865c884473b0a76da201fe972e68c3b2591e6580753485548acc32169db3ffe7 |
|
| MD5 | 9a6f23b197f05da0721eb211dee676bb |
|
| BLAKE2-256 | 7d7086d0db59598c34a5c1d334ba996271dddad89108127b743c84beb6354afd |
Close
Hashes for mkl_include-2021.1.1-py2.py3-none-win32.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 0aa68a31abb434608010672f6936bc21f27f5850c819c2d2c7bbfaefb4266fbf |
|
| MD5 | 46dbf35b8103bfa2755f72a42586ce49 |
|
| BLAKE2-256 | 9498ce587967450d08822def1e8a712a3a7b19d282dc6ffbece3b0a4a98d4bc4 |
Close
Hashes for mkl_include-2021.1.1-py2.py3-none-win_amd64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 6473abced30da9c6b14e5ef7d55e0f4c575d28ff2651d9551f91a8acf4be275c |
|
| MD5 | 2101036b7d369a4a275d79c65f54a311 |
|
| BLAKE2-256 | 457ca0726feeaea6c3d1bf25083dc6ca90a38414f067b2e6227c60f6db1dfdec |
