concurrent_map | The better performance thread-safe map in GO | Map library
kandi X-RAY | concurrent_map Summary
kandi X-RAY | concurrent_map Summary
concurrent_map is a Go library typically used in Geo, Map applications. concurrent_map has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
The better performance thread-safe map in GO
The better performance thread-safe map in GO
Support
Quality
Security
License
Reuse
Support
concurrent_map has a low active ecosystem.
It has 231 star(s) with 36 fork(s). There are 16 watchers for this library.
It had no major release in the last 12 months.
There are 0 open issues and 1 have been closed. There are 2 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of concurrent_map is v1.0.0
Quality
concurrent_map has no bugs reported.
Security
concurrent_map has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
concurrent_map is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
concurrent_map releases are available to install and integrate.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of concurrent_map
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of concurrent_map
concurrent_map Key Features
No Key Features are available at this moment for concurrent_map.
concurrent_map Examples and Code Snippets
No Code Snippets are available at this moment for concurrent_map.
Community Discussions
Trending Discussions on concurrent_map
QUESTION
Pthread: Increasing program execution time with respect to number of threads
Asked 2019-Nov-12 at 17:27
I am trying to build an efficient concurrent hash map using pthreads, C.
Following is my implementation
...ANSWER
Answered 2019-Nov-11 at 15:47rand() is usually not suited for multi threaded execution. Instead use rand_r().
Also use linux time tool for timing the application.
Your workload generation imposes a huge overhead, and I assume it is the bottleneck here, not the concurrent hash map
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install concurrent_map
You can download it from GitHub.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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