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

This version

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

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-0.5.20220516161009-py2.py3-none-any.whl (253.6 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file microprobe_all-0.5.20220516161009-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for microprobe_all-0.5.20220516161009-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 302fc3aec3493edabceb740b040183a3f65d2e5b6c1347052d9898939235ba7d
MD5 f2280f53f084688fd5011c7075fcc3f1
BLAKE2b-256 4ee6adbb017a16bcc7120ee80d9ac51fd311340edf38cd9b697d11bca0ba992a

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