26 packages returned for Tags:"blas"
- 111,484 total downloads
- last updated 5/8/2018
- Latest version: 0.4.11
Tensor (n-dimensional array) library for F#
Core features:
- n-dimensional arrays (tensors) in host memory or on CUDA GPUs
- element-wise operations (addition, multiplication, absolute value, etc.)
- basic linear algebra operations (dot product, SVD decomposition,...
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- 33,477 total downloads
- last updated 10/23/2020
- Latest version: 2020.4.304
Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly optimized, extensively threaded routines for applications that require maximum performance. This package provides C programming language interfaces. Intel MKL C language interfaces can be called from applications written...
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- 57,855 total downloads
- last updated 3/3/2022
- Latest version: 2022.0.3.171
The package includes static win-x64 libraries
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...
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- 37,817 total downloads
- last updated 3/3/2022
- Latest version: 2022.0.3.171
The package includes static win-x86 libraries
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...
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- 32,955 total downloads
- last updated 3/3/2022
- Latest version: 2022.0.3.171
The package includes runtime win-x64 libraries
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...
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- 15,355 total downloads
- last updated 3/3/2022
- Latest version: 2022.0.3.171
The package includes dynamic win-x64 libraries and header files
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++)...
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- 1,239 total downloads
- last updated 4/8/2020
- Latest version: 2020.0.407
This library contains CBLAS and LAPACKE API bindings to OpenBLAS and MKL and OpenBLAS binaries
for Windows, Linux and MacOS. Additionally, it has select BLAS routines implemented
using .NET intrinsics (operations with scalars and 1-dimensional vector math).
lapacke
by:
jdavidberger
- 2,835 total downloads
- last updated 3/29/2018
- Latest version: 0.1.0
Native DLLs for LAPACKE
- 7,151 total downloads
- last updated 10/23/2020
- Latest version: 2020.4.304
Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly optimized, extensively threaded routines for applications that require maximum performance. This package provides C programming language interfaces. Intel MKL C language interfaces can be called from applications written...
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- 807 total downloads
- last updated 8/15/2019
- Latest version: 0.3.7.1
OpenBLAS.NET is a CSharp binding of OpenBLAS library: https://www.openblas.net/
In scientific computing, OpenBLAS is an open source implementation of the BLAS (Basic Linear Algebra Subprograms) API with many hand-crafted optimizations for specific processor types. It is developed at the Lab of...
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- 8,316 total downloads
- last updated 3/3/2022
- Latest version: 2022.0.3.171
The package includes runtime win-x86 libraries
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...
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- 7,048 total downloads
- last updated 3/26/2021
- Latest version: 2021.2.0.269
Package includes osx-x64 dynamic libraries and interfaces
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++)...
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- 5,084 total downloads
- last updated 3/26/2021
- Latest version: 2021.2.0.296
Package includes linux-x86 dynamic libraries and interfaces
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++)...
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- 4,845 total downloads
- last updated 3/3/2022
- Latest version: 2022.0.3.171
The package includes static win-x64 cluster libraries
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...
More information
- 5,477 total downloads
- last updated 3/26/2021
- Latest version: 2021.2.0.269
Package includes osx-x64 static libraries and interfaces
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++)...
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- 6,198 total downloads
- last updated 3/3/2022
- Latest version: 2022.0.3.171
The package includes runtime win-x64 cluster libraries
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++)...
More information
- 5,620 total downloads
- last updated 3/3/2022
- Latest version: 2022.0.3.171
The package includes dynamic win-x86 libraries and header files
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++)...
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