cublasSgemm

cublasSgemm is a function within the NVIDIA CUDA Basic Linear Algebra Subprograms (CUBLAS) library. CUBLAS is a highly optimized collection of routines for performing basic linear algebra operations on NVIDIA GPUs. Specifically, cublasSgemm performs a general matrix-matrix multiplication. It computes the matrix product C = alpha * A * B + beta * C, where A, B, and C are matrices, and alpha and beta are scalar values.

The 'S' in cublasSgemm indicates that the function operates on single-precision floating-point numbers (float). The function takes pointers to the matrices A, B, and C, as well as the scalar coefficients alpha and beta, and various parameters defining the dimensions and layout of the matrices. These parameters include the number of rows and columns for each matrix, and strides to access elements within memory.

cublasSgemm is designed for high performance on CUDA-enabled GPUs, leveraging parallel processing capabilities to accelerate matrix multiplication, a fundamental operation in many scientific computing, machine learning, and deep learning applications. Its efficient implementation makes it a crucial component for developers seeking to optimize numerical computations on NVIDIA hardware.