OpenBlas, Neon & VFP

最新推荐文章于 2025-09-11 01:47:32 发布

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最新推荐文章于 2025-09-11 01:47:32 发布 · 2.3k 阅读

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OpenBLAS是一个优化的BLAS库，专注于特定处理器类型的线性代数内核。BLAS是基本线性代数子程序的规范，用于执行常见的线性代数操作。Neon是ARM的一种SIMD技术，提供向量运算，常用于多媒体处理。VFP是ARM架构的浮点处理器扩展，提供单精度和双精度浮点计算。Neon与VFP的主要区别在于SIMD并行处理和应用领域。

OpenBlas

In scientific computing, OpenBLAS is an open source implementation of the BLAS (Basic Linear Algebra Subprograms) APIwith many hand-crafted optimizations for specific processor types. It is developed at the Lab of Parallel Software and Computational Science, ISCAS.
OpenBLAS adds optimized implementations of linear algebra kernels for several processor architectures, including IntelSandy Bridge[2] and Loongson.[3] It claims to achieve performance comparable to the Intel MKL.
OpenBLAS is a fork of GotoBLAS2, which was created by Kazushige Goto at the Texas Advanced Computing Center.

Blas

Basic Linear Algebra Subprograms (BLAS) is a specification that prescribes a set of low-level routines for performing common linear algebra operations such as vector addition, scalar multiplication, dot products, linear combinations, andmatrix multiplication. They are the de facto standard low-level routines for linear algebra libr