pti-gpu | Profiling Tools Interfaces for GPU is a set | GPU library

 by   intel C++ Version: Current License: MIT

kandi X-RAY | pti-gpu Summary

kandi X-RAY | pti-gpu Summary

pti-gpu is a C++ library typically used in Hardware, GPU applications. pti-gpu has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This repository describes the ways of collecting performance data for Intel(R) Processor Graphics and provides a set of samples that help to start.
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            kandi-support Support

              pti-gpu has a low active ecosystem.
              It has 129 star(s) with 30 fork(s). There are 13 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 20 open issues and 9 have been closed. On average issues are closed in 44 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of pti-gpu is current.

            kandi-Quality Quality

              pti-gpu has 0 bugs and 0 code smells.

            kandi-Security Security

              pti-gpu has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              pti-gpu code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              pti-gpu is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              pti-gpu releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.
              It has 3703 lines of code, 188 functions and 45 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pti-gpu and discovered the below as its top functions. This is intended to give you an instant insight into pti-gpu implemented functionality, and help decide if they suit your requirements.
            • Define a function to be called when a function is called .
            • Generate the exit callback .
            • Download GTPIN headers .
            • Finds enum definitions from a file .
            • Extracts the struct map from the given struct_name .
            • Generate tracing API documentation .
            • Generate callbacks .
            • Get the parameters from a file .
            • Get the start and end of a struct .
            • Generate result converter .
            Get all kandi verified functions for this library.

            pti-gpu Key Features

            No Key Features are available at this moment for pti-gpu.

            pti-gpu Examples and Code Snippets

            No Code Snippets are available at this moment for pti-gpu.

            Community Discussions

            QUESTION

            How to measure execution time of code in device+OpenCL+GPU
            Asked 2021-May-27 at 13:20

            I try to measure the execution time of my code on CPU and GPU. for measuring the time on CPU, I used std::chrono::high_resolution_clock::now() and std::chrono::high_resolution_clock::now(), std::chrono::duration_caststd::chrono::nanoseconds(end - begin) and for measuring the time on GPU device, I read these links: 1- https://github.com/intel/pti-gpu/blob/master/chapters/device_activity_tracing/OpenCL.md 2- https://docs.oneapi.com/versions/latest/dpcpp/iface/event.html 3- https://developer.codeplay.com/products/computecpp/ce/guides/computecpp-profiler/step-by-step-profiler-guide?version=2.2.1 and so on so for... The problem is that, I confused and I can not understand how can I measure the execution time of code on GPU with using profiling. I do not know even where should I put in my code and I did lots of mistake. my code is:

            ...

            ANSWER

            Answered 2021-May-25 at 17:38

            A good start is to format your code so you have consistent indentation. I have done that for you here. If you are using Visual Studio Community, select the text and press Ctrl+K and then Ctrl+F.

            Now to the profiling. Here is a simple Clock class that is easy to use for profiling:

            Source https://stackoverflow.com/questions/67686251

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

            Vulnerabilities

            No vulnerabilities reported

            Install pti-gpu

            In general, to build samples one need to perform the following steps (specific instructions for particular sample can be found on sample description page):.

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            https://github.com/intel/pti-gpu.git

          • CLI

            gh repo clone intel/pti-gpu

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            git@github.com:intel/pti-gpu.git

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