pmu-tools
Intel PMU profiling tools (by andikleen)
| JCTools | pmu-tools | |
|---|---|---|
| 2 | 4 | |
| 3,675 | 2,139 | |
| 0.0% | 0.5% | |
| 4.7 | 8.8 | |
| about 1 year ago | about 1 month ago | |
| Java | Python | |
| Apache License 2.0 | GNU General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
JCTools
Posts with mentions or reviews of JCTools.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-11.
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if you had to restart at 0 knowledge what would you do?
Install some tool that would help you see the performance of your system, like a graph of the CPU usage, the top processes being used, disk activity/read/write, etc. Every time you run your program, glance at those numbers, eventually you'll develop an intuition. Basically write code and profile. A good exercise would be practicing with data structures, this site has an exhaustive list of them, find some stuff that's interesting then google the implementation, then build it yourself, test it, debug, profile, optimize, and understand the performance constraints. Eventually you'll develop better understanding and can compare between other people's works, optimizing them. If you want to go beyond, read some papers on lock-free algorithms https://github.com/JCTools/JCTools/tree/master/resources then read Brendan Gregg's blog and books. Read about how profiling tools work https://github.com/andikleen/pmu-tools/wiki/toplev-manual
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What do implementations that use Unsafe do to be able to compile?
If I fork this implementation's repo and then publish a release (of the forked version) with my own commits via jitpack.io (committing with Android Studio IDE).
pmu-tools
Posts with mentions or reviews of pmu-tools.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-08-19.
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Investigate performance with Process Watch on AWS Graviton processors
pmu-tools
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Gallery of Processor Cache Effects
I am not seeing it mentioned anywhere, but for people looking for a good starting point on "low-level" CPU performance debugging, intel's CPU top-down u-architecture method (https://www.intel.com/content/www/us/en/docs/vtune-profiler/...) is a good systematic way to understand where you CPU is speeding most of it's cycle.
They also have two tools which basically implement this analysis and spit a bunch of very useful metric that are actionable and very easy to understand
- Intel Vtune is a fantastic tool to start with. It's currently free to use, support most OSes and very friendly to use for beginner.
- Intel pmu-tools (https://github.com/andikleen/pmu-tools) is basically command line version of Vtune.
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if you had to restart at 0 knowledge what would you do?
Install some tool that would help you see the performance of your system, like a graph of the CPU usage, the top processes being used, disk activity/read/write, etc. Every time you run your program, glance at those numbers, eventually you'll develop an intuition. Basically write code and profile. A good exercise would be practicing with data structures, this site has an exhaustive list of them, find some stuff that's interesting then google the implementation, then build it yourself, test it, debug, profile, optimize, and understand the performance constraints. Eventually you'll develop better understanding and can compare between other people's works, optimizing them. If you want to go beyond, read some papers on lock-free algorithms https://github.com/JCTools/JCTools/tree/master/resources then read Brendan Gregg's blog and books. Read about how profiling tools work https://github.com/andikleen/pmu-tools/wiki/toplev-manual
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Linux Perf Examples
Toplev is a godsend (thank you Andi Kleen!). If you work with perf you'll love this.
https://github.com/andikleen/pmu-tools
What are some alternatives?
When comparing JCTools and pmu-tools you can also consider the following projects:
Disruptor - High Performance Inter-Thread Messaging Library
HeatMap - Heat map generation tools
Agrona - High Performance data structures and utility methods for Java
FlameGraph - Stack trace visualizer
Koloboke - Java Collections till the last breadcrumb of memory and performance
zlib - Cloudflare fork of zlib with massive performance improvements