Skip to main content

cuDSS - runtime libraries

Project description

NVIDIA cuDSS library

NVIDIA cuDSS (Preview) is a library of GPU-accelerated linear solvers with sparse matrices. It provides algorithms for solving linear systems of the following type: AX=B

with a sparse matrix A, right-hand side B and unknown solution X (could be a matrix or a vector).

The cuDSS functionality allows flexibility in matrix properties and solver configuration, as well as execution parameters like CUDA streams.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

nvidia_cudss_cu12-0.7.1.6-py3-none-win_amd64.whl (70.9 MB view details)

Uploaded Python 3Windows x86-64

nvidia_cudss_cu12-0.7.1.6-py3-none-manylinux_2_17_x86_64.whl (80.0 MB view details)

Uploaded Python 3manylinux: glibc 2.17+ x86-64

nvidia_cudss_cu12-0.7.1.6-py3-none-manylinux_2_17_aarch64.whl (79.8 MB view details)

Uploaded Python 3manylinux: glibc 2.17+ ARM64

File details

Details for the file nvidia_cudss_cu12-0.7.1.6-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for nvidia_cudss_cu12-0.7.1.6-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 6cbe6f0c404259243faecf2ca13dfe282655d6296b97d5188995166190728435
MD5 0824243b9ba3a9a441a5aa56cb2dddf1
BLAKE2b-256 4d6713a8eb884b6cb314fffd8b9e4c60bcb18c8141e1a6ec9b51a95c84c87bde

See more details on using hashes here.

File details

Details for the file nvidia_cudss_cu12-0.7.1.6-py3-none-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for nvidia_cudss_cu12-0.7.1.6-py3-none-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 8b7837d216e871bb9ac174300a62eb998344f0b5faa03cf8f93d37c28985b325
MD5 d44224c947788aaff2fbb6d802df2e1d
BLAKE2b-256 b93bbc2da119af8328b7096bced5632d3b1045dad9b40cb2f3c64717c535e89f

See more details on using hashes here.

File details

Details for the file nvidia_cudss_cu12-0.7.1.6-py3-none-manylinux_2_17_aarch64.whl.

File metadata

File hashes

Hashes for nvidia_cudss_cu12-0.7.1.6-py3-none-manylinux_2_17_aarch64.whl
Algorithm Hash digest
SHA256 edf9a0d40463841a18e77e34071747ae7ae3145e0af65c976923a9ac125f97ac
MD5 2b7ba9ee61235dcc53158240cf33f264
BLAKE2b-256 4e7f0bb96031bdc421c5d2123c0570f7ba391e19c621862ceb20b2361a29ca94

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page