新闻
Faster Scientific Simulations with New FP64 Algorithms in NVIDIA cuBLAS
NVIDIA Developer · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- CUDA Toolkit 13.4.2 introduces Ozaki-II and 2M algorithms that accelerate double-precision matrix multiplication on integer Tensor Cores while maintaining full FP64 accuracy.
- 为何重要
- Matters for engineers running scientific simulations in quantum chemistry, materials science, and HPC who need both speed and precision in dense matrix operations.
- 注意
- Algorithms require sufficient mantissa bits to preserve FP64 accuracy; cuBLAS falls back to native FP64 if precision requirements exceed configured limits at runtime.
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