This library provides high-performance arithmetic operations on arrays of floating-point numbers using SIMD (Single Instruction, Multiple Data) instructions. The current implementation utilizes SSE (Streaming SIMD Extensions) to perform operations such as addition of float arrays.
- Vector Addition: Adds two arrays of floats using SIMD instructions for accelerated computation.
- High Performance: Utilizes SSE instructions to process data in parallel, significantly speeding up large-scale computations compared to scalar operations.
- GCC Compiler
- Linux Operating System (for the provided build instructions)
This project uses a Makefile for building the shared library. To build the library, follow these steps:
-
Clone the repository:
git clone https://github.com/narain1/simd-python cd simd-python -
Run the build command to build
ninja