# Nvidia adds cuBLAS algorithms to accelerate double-precision simulations

_Published Friday, November 13, 2026 at 5:25 PM EST · Science, Infrastructure · Latest · Tier 2 — Notable_

![Nvidia adds cuBLAS algorithms to accelerate double-precision simulations — Primary](https://developer-blogs.nvidia.com/wp-content/uploads/2026/11/image5-7.webp)

Nvidia says cuBLAS in CUDA Toolkit 13.4.2 accelerates scientific matrix calculations by moving double-precision arithmetic onto integer Tensor Cores while preserving full double-precision accuracy. The library applies the acceleration without application code changes.

The Ozaki-II algorithm reduces the integer multiplications needed to reconstruct accurate results, while the 2M method reduces complex matrix multiplication from four real matrix multiplications to two. Nvidia reports a 3.9x end-to-end speedup for the BerkeleyGW materials-science application on GB200.

Gains depend on hardware and matrix size. When the required precision exceeds the configured limit, cuBLAS falls back to native double-precision instructions.

## Sources

- [NVIDIA Technical Blog](https://developer.nvidia.com/blog/faster-scientific-simulations-with-new-fp64-algorithms-in-nvidia-cublas/)

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Canonical: https://techandbusiness.org/newswire/BBdby4iA_Hler8oKx-RxBI
Published: 2026-11-13T22:25:24.820Z
Story chronology: 2026-11-13T22:13:51.000Z
Retrieved: 2026-11-14T00:41:17.272Z
Publisher: Tech & Business (techandbusiness.org)