Unified Memory Framework

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for IntelAutomationEngineering from gravatar.com IntelAutomationEngineering

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Other/Proprietary License (Apache-2.0 with LLVM exceptions)
  • Author: Intel Corporation
Classifiers
Report project as malware

Project description

Construct allocators and memory pools. Manage multiple memory pools characterized by different attributes, allowing certain allocation types to be isolated from others and allocated using different hardware resources as required.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for IntelAutomationEngineering from gravatar.com IntelAutomationEngineering

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Other/Proprietary License (Apache-2.0 with LLVM exceptions)
  • Author: Intel Corporation
Classifiers

Release history Release notifications | RSS feed

1.1.0

1.0.3

This version

1.0.2

0.11.0

0.10.0

0.9.1

0.9.0

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.

umf-1.0.2-py2.py3-none-win_amd64.whl (249.1 kB view details)

Uploaded Python 2Python 3Windows x86-64

umf-1.0.2-py2.py3-none-manylinux_2_28_x86_64.whl (359.9 kB view details)

Uploaded Python 2Python 3manylinux: glibc 2.28+ x86-64

File details

Details for the file umf-1.0.2-py2.py3-none-win_amd64.whl.

File metadata

  • Download URL: umf-1.0.2-py2.py3-none-win_amd64.whl
  • Upload date:
  • Size: 249.1 kB
  • Tags: Python 2, Python 3, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 colorama/0.4.4 importlib-metadata/4.6.4 keyring/23.5.0 pkginfo/1.8.2 readme-renderer/34.0 requests-toolbelt/0.9.1 requests/2.32.5 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.6

File hashes

Hashes for umf-1.0.2-py2.py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 695b6be076a7bd2037b0cdbe5ee025f9ae74934cc78bdf25df8b52e8f746e457
MD5 35ce8718b926584d31af12aa65e79f18
BLAKE2b-256 4c8cdfbcedb97b56b2e87a9fe61e43e70b09abb439ed90e06e08d4365fc60c5f

See more details on using hashes here.

File details

Details for the file umf-1.0.2-py2.py3-none-manylinux_2_28_x86_64.whl.

File metadata

  • Download URL: umf-1.0.2-py2.py3-none-manylinux_2_28_x86_64.whl
  • Upload date:
  • Size: 359.9 kB
  • Tags: Python 2, Python 3, manylinux: glibc 2.28+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 colorama/0.4.4 importlib-metadata/4.6.4 keyring/23.5.0 pkginfo/1.8.2 readme-renderer/34.0 requests-toolbelt/0.9.1 requests/2.32.5 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.6

File hashes

Hashes for umf-1.0.2-py2.py3-none-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 ef4d144a2007a73a1a22ee575ee4f5a1894a206532c6f6d77b4cf548643502fb
MD5 0d6914102c5b41b3ec1ef523e0a7dcf5
BLAKE2b-256 278e4a90b6aa955268988e7491f502b7ac2bd65cb954b4979bfcc892cf019b50

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