Search Results for "simd"

Highly optimized 2D|3D math library, also known as OpenGL Mathematics (glm) for `C`. cglm provides lot of utils to help math operations to be fast and quick to write. It is community-friendly, feel free to bring any issues, bugs you faced. Almost all functions (inline versions) and parameters are documented inside the corresponding headers. OpenGL-related functions are dropped to make this lib platform/third-party independent. Make sure you have the latest version and feel free to report...

SLEEF stands for SIMD Library for Evaluating Elementary Functions. SLEEF implements vectorized versions of all C99 math functions, that utilize SIMD instructions of modern processors to make computation more efficient. The library also includes vectorized DFT subroutines.

* Fast C++ library for linear algebra (matrix maths) and scientific computing * Easy to use functions and syntax, deliberately similar to Matlab / Octave * Uses template meta-programming techniques to increase efficiency * Provides user-friendly wrappers for OpenBLAS, Intel MKL, LAPACK, ATLAS, ARPACK, SuperLU and FFTW libraries * Useful for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc. * Downloads:...

...It provides fixed-size vector, matrix, and quaternion types with APIs that mirror the operations you actually use in inner loops—dot, cross, normalize, transforms, and projections. Implementations are carefully tuned to leverage SIMD instruction sets such as SSE and NEON while preserving a clean fallback path for portability. Because types are fixed at compile time, the compiler can aggressively inline and unroll code, producing predictable performance and tiny binaries. The design emphasizes minimal dependencies and clear ownership so the library can be embedded into engines without dragging in heavyweight frameworks. ...

Highly efficient implementation of BLAS for sparse block matrices. Accelerated using heavy-duty C++ meta-programming, SIMD instructions and GPU.

ObjC framework for mathematical operations. Various DSP (inc. FFT + wavelet), statistical operations and more on vector and array types. Optimized for SIMD and multi-threading where possible.

Improving the speed of the signal analysis code for Seti@home. Leveraging modern processors advanced features such as SIMD and parallel execution units, as well as identifying better methods to code existing functions.