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Intel oneAPI Math Kernel Library (Intel oneMKL) , formerly known as Intel Math Kernel Library, is a library of optimized math routines for science, engineering, and financial applications. Core math functions include BLAS , LAPACK , ScaLAPACK , sparse solvers, fast Fourier transforms , and vector math.
Eigen is a vector mathematics library with performance comparable with Intel's Math Kernel Library; Hermes Project: C++/Python library for rapid prototyping of space- and space-time adaptive hp-FEM solvers. IML++ is a C++ library for solving linear systems of equations, capable of dealing with dense, sparse, and distributed matrices.
ARS is used in recent versions of Intel's Math Kernel Library [3] and gets good performance by using instructions from the AES-NI instruction set, which specifically accelerate AES encryption. Code implementing Threefry, ARS, and Philox (see below) is available from the authors.
The Intel Developer Zone is an international online program designed by Intel to encourage and support independent ... and Intel Math Kernel Library (Intel MKL). ...
oneAPI is an open standard, adopted by Intel, [1] for a unified application programming interface (API) intended to be used across different computing accelerator (coprocessor) architectures, including GPUs, AI accelerators and field-programmable gate arrays. It is intended to eliminate the need for developers to maintain separate code bases ...
Many libraries support bfloat16, such as CUDA, [13] Intel oneAPI Math Kernel Library, AMD ROCm, [14] AMD Optimizing CPU Libraries, PyTorch, and TensorFlow. [10] [15] On these platforms, bfloat16 may also be used in mixed-precision arithmetic, where bfloat16 numbers may be operated on and expanded to wider data types.
Intel's revenue for the upcoming quarter is expected to fall more than 10% year over year to $13.8 billion, per Bloomberg consensus estimates, and earnings per share are projected to drop 77% to ...
As of 2005, the library was available at no cost for noncommercial use. [1] A later open source version was released under the terms of the BSD license . GotoBLAS's matrix-matrix multiplication routine , called GEMM in BLAS terms, is highly tuned for the x86 and AMD64 processor architectures by means of handcrafted assembly code . [ 3 ]