PIRA | PIRA - Automatic Instrumentation Refinement

 by   tudasc Python Version: v0.4.0 License: BSD-3-Clause

kandi X-RAY | PIRA Summary

kandi X-RAY | PIRA Summary

PIRA is a Python library. PIRA has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However PIRA build file is not available. You can download it from GitHub.

The Performance Instrumentation Refinement Automation framework PIRA approaches the time-consuming task of generating a reasonable performance measurement for an unknown code base when using Score-P. For more information please see our papers:.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              PIRA has a low active ecosystem.
              It has 11 star(s) with 1 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 3 have been closed. On average issues are closed in 78 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of PIRA is v0.4.0

            kandi-Quality Quality

              PIRA has no bugs reported.

            kandi-Security Security

              PIRA has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              PIRA is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              PIRA releases are available to install and integrate.
              PIRA has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed PIRA and discovered the below as its top functions. This is intended to give you an instant insight into PIRA implemented functionality, and help decide if they suit your requirements.
            • Execute pira
            • Run the analysis
            • Tear down a directory
            • Analyze a local function
            • Execute a shell command
            • Return the default pira dir
            • Create an InvocationConfig instance from a dictionary
            • Resets the configuration to default
            • Prepare MPI filter
            • Remove all files in path
            • Check if prerequisites exist
            • Processes arguments for extrapolation
            • Run a shell command
            • Load functor module
            • Process the extractor
            • Creates a temporary file with a temporary file
            • Copies source_file to target_file
            • Run analyzer command
            • Load configuration from configuration file
            • Returns a scalability runner
            • Perform a profile
            • Exports the iteration
            • Write config file to disk
            • Perform a single profile
            • Load configuration from configuration file
            • Perform baseline run
            Get all kandi verified functions for this library.

            PIRA Key Features

            No Key Features are available at this moment for PIRA.

            PIRA Examples and Code Snippets

            No Code Snippets are available at this moment for PIRA.

            Community Discussions

            No Community Discussions are available at this moment for PIRA.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install PIRA

            You can download it from GitHub.
            You can use PIRA like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            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 .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries

            Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link