Benchmarking of GPU NVIDIA CUDA, CUBLAS and MAGMA Libraries Based on Matrix Multiplication Problem
Edita E. Gichunts · Mathematical Problems of Computer Science · 2014
Solving linear systems of equations is a fundamental problem in scientific computing. Many scientific computer applications need a high-performance matrix algebra. The major hardware developments always influenced the new developments in linear algebra libraries. Nowadays major chip manufacturers are developing next-generation microprocessor designs that integrate multicore CPU and GPU components [1]. The main aim is to benchmark CUBLAS and MAGMA libraries on matrix multiplication problem using the Tesla C1060 graphical processing unit.