NVIDIA cuBLAS 新 FP64 算法加速科学模拟
Faster Scientific Simulations with New FP64 Algorithms in NVIDIA cuBLAS
NVIDIA cuBLAS 发布新 FP64 算法，通过优化 DGEMM/ZGEMM 高精度矩阵乘法显著提升科学模拟性能。该算法在保持高精度的同时实现速度倍数提升，适用于分子化学、材料科学等领域的高性能计算与 AI 应用。
Many scientific simulations, from molecular chemistry to materials science, spend the majority of their execution time computing high-precision dense general...
Many scientific simulations, from molecular chemistry to materials science, spend the majority of their execution time computing high-precision dense general matrix multiplications (GEMM). These operations are 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…
来源: NVIDIA Technical Blog · developer.nvidia.com