Faster Scientific Simulations with New FP64 Algorithms in NVIDIA cuBLAS

Many scientific simulations, from molecular chemistry to materials science, spend most of their execution time on high-precision dense general matrix multiplications (GEMM), called DGEMM for real 64-bit floating-point numbers and ZGEMM for complex 64-bit floating-point numbers. cuBLAS is widely used by HPC and AI applications to accelerate GEMM and other Basic Linear Algebra Subprograms operations.