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Open Source Science

https://github.com/atelierarith/macosioreport.jl

Porting macmon project to Julia using ObjectiveC.jl

https://github.com/atelierarith/macosioreport.jl

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (4.1%) to scientific vocabulary

Keywords

julia julialang macos metal objective-c
Last synced: 5 months ago · JSON representation

Repository

Porting macmon project to Julia using ObjectiveC.jl

Basic Info
  • Host: GitHub
  • Owner: AtelierArith
  • License: mit
  • Language: Julia
  • Default Branch: main
  • Homepage:
  • Size: 24.4 KB
Statistics
  • Stars: 2
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
julia julialang macos metal objective-c
Created about 1 year ago · Last pushed 6 months ago
Metadata Files
Readme License

README.md

MacOSIOReport.jl

This Julia package provides functionality to monitor CPU and GPU usage on M-series macOS systems(i.e., Apple Silicon). It is inspired by and partially ports the vladkens/macmon project, originally written in Rust.

Prerequisites

  • macOS with Apple Silicon (M-series) processor
  • Julia (install using juliaup)

Installation

  1. Clone the repository:

Usage

```sh $ cat demo.jl using MacOSIOReport: handle_raw

function main() msec = UInt64(1000) handle_raw(msec) end

main() $ julia --project demo.jl ```

[ Info: MacOSIOReport.Metrics((0x0000058a, 0.07975462824106216), (0x0000044f, 0.009710949845612049), (0x0000014d, 0.0050773611292243), 0.29085867707151625, 0.015137907338430791, 0.0, 0.30599658440994704) ┌ Info: E-CPU └ (Int(m.ecpu_usage[1]), 100 * m.ecpu_usage[2]) = (1418, 7.975462824106216) ┌ Info: P-CPU └ (Int(m.pcpu_usage[1]), 100 * m.pcpu_usage[2]) = (1103, 0.9710949845612049) ┌ Info: GPU └ (Int(m.gpu_usage[1]), 100 * m.gpu_usage[2]) = (333, 0.9710949845612049) ┌ Info: CPU Power └ m.cpu_power = 0.29085867707151625 ┌ Info: GPU Power └ m.gpu_power = 0.015137907338430791

This means: - E-CPU (Efficiency cores) are running at 1418MHz with 7.9% usage - P-CPU (Performance cores) are running at 1103MHz with 0.97% usage - GPU is running at 333MHz with 0.97% usage - CPU is consuming 0.29 watts of power - GPU is consuming 0.015 watts of power

Owner

  • Name: AtelierArith
  • Login: AtelierArith
  • Kind: organization
  • Email: contact@atelier-arith.jp
  • Location: Japan

Enhance "Math meets Art"

GitHub Events

Total
  • Issues event: 2
  • Watch event: 1
  • Delete event: 1
  • Issue comment event: 5
  • Push event: 16
  • Public event: 1
  • Pull request event: 3
  • Create event: 2
Last Year
  • Issues event: 2
  • Watch event: 1
  • Delete event: 1
  • Issue comment event: 5
  • Push event: 16
  • Public event: 1
  • Pull request event: 3
  • Create event: 2

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 1
  • Total pull requests: 2
  • Average time to close issues: 9 days
  • Average time to close pull requests: about 1 hour
  • Total issue authors: 1
  • Total pull request authors: 1
  • Average comments per issue: 5.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 2
  • Average time to close issues: 9 days
  • Average time to close pull requests: about 1 hour
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 5.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • terasakisatoshi (1)
Pull Request Authors
  • terasakisatoshi (2)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • julia 1 total
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 1
juliahub.com: MacOSIOReport

Porting macmon project to Julia using ObjectiveC.jl

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 1 Total
Rankings
Dependent repos count: 8.5%
Average: 22.4%
Dependent packages count: 36.4%
Last synced: 6 months ago

Dependencies

.github/workflows/CI.yml actions
  • actions/checkout v5 composite
  • julia-actions/cache v2 composite
  • julia-actions/julia-buildpkg v1 composite
  • julia-actions/julia-runtest v1 composite
  • julia-actions/setup-julia v2 composite