OpenCL-CLHPP
Khronos OpenCL-CLHPP (by KhronosGroup)
opencl-intercept-layer
Intercept Layer for Debugging and Analyzing OpenCL Applications (by intel)
OpenCL-CLHPP | opencl-intercept-layer | |
---|---|---|
5 | 9 | |
350 | 292 | |
0.9% | 2.4% | |
6.5 | 7.8 | |
7 days ago | 7 days ago | |
C++ | C++ | |
Apache License 2.0 | MIT License |
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.
OpenCL-CLHPP
Posts with mentions or reviews of OpenCL-CLHPP.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-18.
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Khronos Group releases OpenCL 3.0.14 update
Khronos has today released the OpenCL 3.0.14 maintenance update that introduces a new cl_khr_command_buffer_multi_device provisional extension that enables execution of a heterogeneous command-buffers across multiple devices. This release also includes significant improvements to the OpenCL C++ Bindings, a new code generation framework for the OpenCL extension headers, and the usual clarifications and bug fixes. The new specifications can be downloaded from the OpenCL Registry.
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An example for OpenCL 3.0?
Please note that OpenCL consists of two parts: host API and a separate language which is used to write kernels (code which is going to be offloaded to devices). OpenCL specification describes host APIs as C-style APIs and that is what implementors has to provide. However, there are number of various libraries which provides bindings for other languages: - C++ - Python - Go - Rust
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Conference: SYCL and IWOCL
opencl.hpp from https://github.com/KhronosGroup/OpenCL-CLHPP evolved from the C++ wrapper API that Ben Gaster started at AMD and I continued evolving. That work has continued since. It is a wrapper for the OpenCL runtime API, but the kernel side code is provided as kernel strings or SPIRV blobs through that API.
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Getting Started
I was actually writing my own application in C++. I got the OpenCL CLHPP library downloaded. Wish me luck.
opencl-intercept-layer
Posts with mentions or reviews of opencl-intercept-layer.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-22.
- OpenCL 3.0.12 Released With Command Buffers Mutable Dispatch Extension and Enhanced Layers Support
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Useful Tools and Programs list for OpenCL
Somewhat selfishly, one of the tools I see missing from your guide is the OpenCL Intercept Layer. This is an open-source tool we've developed and we use it every day to debug and analyze OpenCL programs.
- Getting random values when manipulating images
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AMD igpu resets while trying to run simple tutorial
I'd also suggest taking a look at the OpenCL Intercept Layer too, if you haven't already. It can do things like logging OpenCL errors, calling clFlush or clFinish after each enqueue, and more, all without modifying source or rebuilding.
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Analyzing the Assembly code
The OpenCL Intercept Layer can get it for you (documentation link).
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Matrix multiplication returning incorrect result OpenCL
Are you sure your program is executing completely and without errors? I'd strongly recommend using a tool like the OpenCL Intercept Layer to verify that everything is running correctly. You can even it to dump your input and result matrices to verify they are correct, if desired.
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Profiling OpenCL code
We use the OpenCL Intercept Layer extensively. It's open-source, vendor-independent, and cross-platform. I wrote a tutorial to demonstrate common usages, if you want to see what it can do.
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Getting Started
At some risk of redundancy, the one tool I would definitely recommend is the OpenCL Intercept Layer, since it will make it a lot easier to debug problems when they inevitably occur, or to optimize your program once it's working. Good luck and have fun!
- I want to learn OpenCL but don't know where to start
What are some alternatives?
When comparing OpenCL-CLHPP and opencl-intercept-layer you can also consider the following projects:
kompute - General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.
nvidia-opencl-examples
OpenCL-SDK - OpenCL SDK
OpenCL-Guide - A guide to help developers get up and running quickly with the OpenCL programming framework
pyopencl - OpenCL integration for Python, plus shiny features
intel-graphics-compiler
OpenCL-Headers - Khronos OpenCL-Headers
SimpleOpenCLSamples - Simple OpenCL Samples that Build with Khronos Headers and Libs
OpenCL-Guide - OpenCL Guide
OpenCL-CLHPP vs kompute
opencl-intercept-layer vs nvidia-opencl-examples
OpenCL-CLHPP vs OpenCL-SDK
opencl-intercept-layer vs OpenCL-Guide
OpenCL-CLHPP vs pyopencl
opencl-intercept-layer vs intel-graphics-compiler
opencl-intercept-layer vs OpenCL-Headers
opencl-intercept-layer vs OpenCL-SDK
opencl-intercept-layer vs SimpleOpenCLSamples
opencl-intercept-layer vs OpenCL-Guide