libcublas/13.0.2+1

[brief]

GPU-accelerated library for AI and HPC applications

NOTE:
This package is not open source and does not contain any source code. Instead, in order to "build" the exported target(s) it downloads (potentially large) pre-built binaries provided by NVIDIA for the target platform.

CI for this package is disabled due to the above.
Supported platforms/compilers are Windows/MSVC. Linux binaries exist but are currently not available through this package.

NVIDIA cuBLAS is a GPU-accelerated library for accelerating AI and HPC applications. It includes several API extensions for providing drop-in industry standard BLAS APIs and GEMM APIs with support for fusions that are highly optimized for NVIDIA GPUs. The cuBLAS library also contains extensions for batched operations, execution across multiple GPUs, and mixed- and low-precision execution with additional tuning for the best performance.

Usage

To start using libcublas in your project, add the following depends value to your manifest, adjusting the version constraint as appropriate:

depends: libcublas ^13.0.1

Then import the library in your buildfile:

import libs = libcublas%libs{cublas}

Importable targets

This package provides the following importable targets:

libs{cublas}
version 13.0.2+1 (13.1.0)
license other: CUDA Toolkit
repository https://pkg.cppget.org/1/testing
download libcublas-13.0.2+1.tar.gz
sha256 914e9d0df64175637ee860d1c290777e8fd8432f22072e8ee8d097844ca9d276
project nvidia-cuda-toolkit
url developer.download.nvidia.com/compute/cuda/redist/redistrib_13.0.2.json
package-email packaging@build2.orgMailing list

Depends (1)

cuda-cudart ^13.0.0

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