Microprobe: Microbenchmark generation framework: A modular and extensible framework to generate microbenchmarks

Navigation

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Apache Version 2.0)
  • Author: Ramon Bertran
  • Maintainer: Ramon Bertran
  • Tags microprobe, microbenchmarks, code, generation, stresstests, characterization, computer, architecture, microarchitecture
Classifiers

Project description

Microprobe is a productive microbenchmark generation framework that an user can adapt towards exercising a complex multi-core, multi-threaded computing system in a variety of redundant ways for answering a range of questions related to power, energy and performance.

Documentation: https://ibm.github.io/microprobe/

Project details

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Apache Version 2.0)
  • Author: Ramon Bertran
  • Maintainer: Ramon Bertran
  • Tags microprobe, microbenchmarks, code, generation, stresstests, characterization, computer, architecture, microarchitecture
Classifiers

Release history Release notifications | RSS feed

0.5.20240627151354

0.5.20240521183246

0.5.20231026142401

0.5.20230719152256

0.5.20230713063734

0.5.20230713062648

0.5.20230713062001

0.5.20230629114852

0.5.20220906104555

0.5.20220727092913

0.5.20220516161009

0.5.20220222174533

0.5.20220217173838

0.5.20211125143146

0.5.20211022173804

0.5.20211022171910

0.5.20211014130411

0.5.20211008181947

0.5.20211008170817

0.5.20211005223120

0.5.20210929123740

0.5.20210907071555

0.5.20210708182625

0.5.20210708161356

0.5.20210316212407

0.5.20210222194032

0.5.20210203164951

0.5.20210120165347

0.5.20201113112904

0.5.20200915145056

0.5.20200828142655

0.5.20200811130153

0.5.20200805143441

0.5.20200725004133

0.5.20200710040801

0.5.20200624175659

0.5.20200624162142

0.5.20200623161105

0.5.20200619163317

0.5.20200611100027

0.5.20200610131709

0.5.20200603153927

0.5.20200526173325

0.5.20200519180023

0.5.20200428164817

0.5.20200415121928

0.5.20200408222346

0.5.20200329130337

0.5.20200312164549

0.5.20200311143444

0.5.20200309145450

0.5.20200303201423

0.5.20200117143545

0.5.20191205074043

This version

0.5.20191120231729

0.5.20190710174957

0.5.20190613163559

0.5.20190201175841

0.5.20181206144940

0.5.20180905225016

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 Distribution

microprobe_all-0.5.20191120231729-py2.py3-none-any.whl (6.0 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file microprobe_all-0.5.20191120231729-py2.py3-none-any.whl.

File metadata

  • Download URL: microprobe_all-0.5.20191120231729-py2.py3-none-any.whl
  • Upload date:
  • Size: 6.0 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.6.9

File hashes

Hashes for microprobe_all-0.5.20191120231729-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 c46a1a0741386ef30ab7300bf299eca7e2d365657bb22f5367736393bc741a96
MD5 0008debd5c5e26218e4fac053f7e73a1
BLAKE2b-256 9083432566b2a8bc16f03af6dd1b155eab45dda6b89e75286876938b64867ffa

See more details on using hashes here.

Supported by

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