Intel Opencl For Mac

An OpenCL device has one or more compute units. A workgroup executes on a single compute unit. A compute unit is composed of one or more processing elements and local memory. A Mac computer always has a single CPU. It may not have any GPUs or it may have several. The CPU on a Mac has multiple compute units, which is why it is called a multicore.

  1. Intel Opencl Mac
  2. Intel Opencl Driver
  3. Opencl Intel Cpu Support
  4. Intel Opencl Sdk

Deploy OpenCL™ Runtimes

Obtain runtimes to execute or develop OpenCL™ applications on Intel­® Processors

  1. The Intel SDK for OpenCL Applications is a comprehensive development environment for developing and optimizing OpenCL applications on Intel platforms. It's part of an increasingly rich portfolio.
  2. Device Intel(R) Core(TM) i7-2635QM CPU @ 2.00GHz supports OpenCL 1.1 Device ATI Radeon HD 6490M supports OpenCL 1.1 You can ask for other device information using this program as a starting point. The Khronos API reference for clGetDeviceInfo should be useful.
  3. Apple's MacBook Air may see an additional performance boost next year with Intel's next-generation Ivy Bridge processors, which, according to a new report, will add support for the OpenCL.
  4. The Intel FPGA SDK for OpenCL Software Pro Edition, Version 20.2 includes functional and security updates. Users should keep their software up-to-date and follow the technical recommendations to help improve security. Additional security updates are planned and will be provided as they become available.
  • Intel® Graphics Technology Runtimes
    • Target Intel® GEN Compute Architectures on Intel® Processors only
  • Intel® Xeon® Processor or Intel® Core™ Processor Runtimes
    • Target Intel® x86/x86-64 only

Important Change

There is a change in OpenCL™ CPU runtime for Windows* distribution in the 2020 February release to be consistent with Linux* distribution. The OpenCL CPU runtime is removed from the OpenCL driver for Windows starting in the 2020 February release version 'igfx_win10_100.7870.exe'.

  • But the installer of the new driver did not remove the old OpenCL CPU runtime when you upgrade the newer driver, so you may have two OpenCL CPU runtimes on your system. This issue is already fixed in the installation script on github here.
  • To download the OpenCL CPU runtime for Windows, please follow any of the following methods:
    • Follow the section 'Intel® CPU Runtime for OpenCL™ Applications 18.1 for Windows* OS (64bit or 32bit)' below to download and install.
    • Github: https://github.com/intel/llvm/releases
      • Search for 'oneAPI DPC++ Compiler dependencies' and find latest release to download, e.g. https://github.com/intel/llvm/releases/tag/2020-WW20
      • Following the installation instructions to install

Intel® Graphics Technology Runtimes

Execute OpenCL™ applications on Intel® Processors with Intel® Graphics Technology.

  • Specifically target Intel® HD Graphics, Intel® Iris® Graphics, and Intel® Iris® Pro Graphics if available on Intel® Processors.
  • Runtimes for Intel® Graphics Technology are often deployed in tandem with an Intel® CPU runtime.
  • Consider graphics runtimes when developing OpenCL™ applications with the Intel® SDK for OpenCL™ Applications or Intel® System Studio.

Check release notes to ensure supported targets include your target device. For Intel® processors older than supported targets, please see the legacy deployment page.

Linux* OS

Repository Install Guidance *Easy* Manual Download and Install Build README FAQ

Intel® Graphics Compute Runtime for OpenCL™ Driver is deployed with package managers for multiple distributions. Please see the documentation on the GitHub* portal for deployment instructions.

Considerations for deployment:

  • Ensure the deployment system has the (libOpenCL.so) ICD loader runtime from either:
    • Your system package manager (for example with the unofficial ocl-icd )
      • Useful package manager search hints:
        • apt update; apt-file find libOpenCL.so
        • yum provides '*/libOpenCL.so'
    • Build from the official Khronos ICD Loader reference repository.
    • Part of the Intel® SDK for OpenCL™ Applications.
  • The Intel® Graphics Compute Runtime for OpenCL™ Driver depends on the i915 kernel driver. Necessary i915 features are available with relatively recent Linux* OS kernels. The recommended kernel is the validation kernel cited in documentation. In general, deployments after the 4.11 kernel should be OK. Make sure to review the release notes and documentation for more specifics.

Windows* OS

  • Intel® Graphics Compute Runtime for OpenCL™ Driver is included with the Intel® Graphics Driver package for Windows* OS.
  • Download Options
    • System Vendor
      • See your vendor website for a graphics or video driver download for the system
    • Intel® Download Center
      • Navigate to “Graphics Drivers” for recent releases.
      • Try the system vendor first in consideration of vendor support. System vendors may disable Intel® Graphics Driver install.
    • The graphics driver package is built in with Windows* 10 OS install. However, the built-in default deployment may not contain latest features.
  • Release Notes
    • In the Download Center navigate to “Graphics Drivers” for Release Notes.

Intel® Xeon® Processor OR Intel® Core™ Processor (CPU) Runtimes

Execute OpenCL™ kernels directly on Intel® CPUs as OpenCL™ target devices.

  • Consider an OpenCL™ CPU implementation for Intel® systems without Intel® Graphics Technology.
  • Systems with Intel® Graphics Technology can simultaneously deploy runtimes for Intel® Graphics Technology and runtimes for Intel® CPU (x86-64).
  • For application developers, the CPU-only runtime is pre-included with the Intel® SDK for OpenCL™ Applications or Intel® System Studio: OpenCL™ Tools component.

Check release notes to ensure supported targets include your target device. For Intel® processors older than supported targets, see the legacy deployment page.

Intel® CPU Runtime for OpenCL™ Applications 18.1 for Linux* OS (64bit only)

​Download

  • Size 125 MB
  • See supported platform details in the Release Notes.
  • Ubuntu* install uses an rpm translator
  • The Linux* OS CPU runtime package also includes the ICD loader runtime (libOpenCL.so). The runtime installer should set the deployment system to see this ICD loader runtime by default. When examining system libraries, administrators may observe ICD loader runtimes obtained from other places. Examples include the system package manager (for example with ocl-icd) or as part of the Intel® SDK for OpenCL™ Applications.
  • Maintenance and updates are now provided in the Experimental Intel® CPU Runtime for OpenCL™ Applications with SYCL support implementation. This implementation is listed later in this article.
  • MD5 83c428ab9627268fc61f4d8219a0d670
  • SHA1 5f2fa6e6bc400ca04219679f89ec289f17e94e5d
Intel Opencl For Mac

Intel® CPU Runtime for OpenCL™ Applications 18.1 for Windows* OS (64bit or 32bit)

  • Size 60 MB
  • CPU-only deployments should use the .msi installer linked in the Download button, and consider removal of the Intel® Graphics Technology drivers where applicable.
  • CPU & Graphics deployments should use the Intel® Graphics Technology driver package, which contains both CPU (x86-64) and Intel® Graphics Technology implementations.
  • See supported operating system details in the Release Notes
  • Maintenance and updates are now provided in the Experimental Intel® CPU Runtime for OpenCL™ Applications with SYCL support implementation. This implementation is listed later in this article.
  • MD5 8e24048001fb46ed6921d658dd71b8ff
  • SHA1 451d96d37259cb111fe8832d5513c5562efa3e56

Experimental Intel® CPU Runtime for OpenCL™ Applications with SYCL support

Download from Intel staging area for llvm.org contribution: prerequisites.

Installation Guide on Github*

  • This OpenCL™ implementation for Intel® CPUs is actively maintained. It is currently in *beta* as of article publication date.
    • OpenCL 1.2, 2.0, and 2.1 programs can use this runtime.
    • The DPC++/SYCL implementation can use this runtime. This runtime additionally supports the SYCL runtime stack. OpenCL™ developers are highly encouraged to explore Intel® DPC++ compiler and SYCL.
  • Deployments with the Intel® CPU Runtime for OpenCL™ Applications 18.1 and this Experimental runtime are not jointly validated at article publication time. Use one or the other implementation, but not both.
  • Feedback can be provided at the Intel® oneAPI Data Parallel C++ forum. Issues are also communicated at the Intel staging area for llvm.org contribution.

Develop OpenCL™ Applications

Tools to develop OpenCL™ applications for Intel® Processors

Intel® oneAPI: DPC++ Compiler

  • DPC++/SYCL programs can run SYCL kernels by way of underlying OpenCL™ implementations.
  • OpenCL-C kernels can also be directly ingested and run by a SYCL runtime. Users of the OpenCL C++ API wrapper may find the SYCL specification particularly appealing.
  • Explore the Intel® oneAPI: DPC++ Compiler, Github* hosted DPC++/SYCL code samples, OpenCL™ injection tests, as well as training videos part1 and part2 on techdecoded.intel.io.
  • As of article publication, this compiler is in Beta.

Intel® System Studio

  • For compilation, cross-platform, IoT, power considerate development, and performance analysis.
    • OpenCL™ development tools component:
      • Develop OpenCL™ applications targeting Intel® Xeon® Processors, Intel® Core™ Processors, and/or Intel® Graphics Technology.
      • Develop applications with expanded IDE functionality, debug, and analysis tools.
        • Note: Some debug and analysis features have been removed from recent versions of the SDK.
      • Earlier versions of the SDK contain an experimental OpenCL™ 2.1 implementation. Intel® CPU Runtime for OpenCL™ Applications 18.1 was intended as a replacement for the experimental implementation.
  • Visit the Intel® System Studio portal

Intel® SDK for OpenCL™ Applications

  • Standalone distribution of Intel® System Studio: OpenCL™ Tools component.
  • Develop OpenCL™ Applications targeting Intel® Xeon® Processors, Intel® Core™ Processors, and/or Intel® Graphics Technology.
  • Develop applications with expanded IDE functionality, debug, and analysis tools.
    • Note: Some debug and analysis features have been removed from recent versions of the SDK.
    • Earlier versions of the SDK contain an experimental OpenCL™ 2.1 implementation suitable for development testing on CPU OpenCL™ targets. Intel® CPU Runtime for OpenCL™ Applications 18.1 was intended as a replacement for that experimental implementation.
  • See release notes, requirements, and download links through the Intel® SDK for OpenCL™ Applications portal.

Intel® FPGA SDK for OpenCL™ Software Technology

  • Build OpenCL™ Applications and OpenCL™ kernels for Intel® FPGA devices.
  • See release notes, requirements, and download links through the SDK’s portal webpage.
  • For OpenCL™ runtimes and required system drivers, visit Download Center for FPGAs.

Intel® Distribution of OpenVINO™ toolkit

  • The Intel® Distribution of OpenVINO™ toolkit is available for vision and deep learning inference. It benefits from OpenCL™ acceleration for each of these components:
    • Intel® Deep Learning Deployment Toolkit
    • OpenCV
    • OpenVX*
  • For a developer oriented overview, see videos on the techdecoded.intel.io training hub.
Mac intel cpu

Intercept Layer for Debugging and Analyzing OpenCL™ Applications

  • The Intercept Layer for Debugging and Analyzing OpenCL™ Applications (clIntercept) can intercept, report, and modify OpenCL™ API calls.
  • No application-level modifications nor OpenCL™ implementation modifications are necessary.
  • clIntercept functionality can supplement removed functionality from recent releases of the Intel® SDK for OpenCL™ Applications.

Additional resources

*OpenCL and the OpenCL logo are trademarks of Apple Inc. used by permission by Khronos.

Important:OpenCL was deprecated in macOS 10.14. To create high-performance code on GPUs, use the Metal framework instead. See Metal.

Important OpenCL was deprecated in macOS 10.14. To create high-performance code on GPUs, use the Metal framework instead. See Metal.

OpenCL™ (Open Computing Language) is an open standard for cross-platform, programming of modern highly-parallel processor architectures. Introduced with OS X v10.6, OpenCL consists of a C99-based programming language designed for parallelism, a powerful scheduling API, and a flexible runtime that executes kernels on the CPU or GPU. OpenCL lets your application harness the computing power of these processors to improve performance and deliver new features based on compute-intensive algorithms.

In addition to support for the OpenCL 1.1 standard, OS X v10.7 adds integration between OpenCL, Grand Central Dispatch (GCD), and Xcode to make it even easier to use OpenCL in your application.

At a Glance

Using OpenCL is easier than ever as of OS X v10.7:

  • OpenCL is fully supported by Xcode. The Xcode offline compiler removes a configuration step that used to have to be performed before the kernel could be run and facilitates debugging earlier in the development process. See Hello World!.

  • You can write OpenCL functions in separate files and include them in your Xcode project. You can compile the kernels when your application is built, before it runs. This improves runtime performance.

  • OpenCL now integrates with GCD, making it easier for you to focus on making your OpenCL kernels more efficient. See Using Grand Central Dispatch With OpenCL.

  • The autovectorizer compiles and accelerates performance of kernels that run on the CPU up to four times without additional effort. The autovectorizer allows you to write one kernel that runs efficiently on both a CPU and a GPU. You can invoke the autovectorizer regardless of whether you are compiling from Xcode or building the kernels at runtime. Or you can disable the autovectorizer if necessary. See Autovectorizer.

You can, of course, continue to use code you’ve already written to the OpenCL 1.1 standard. But see Binary Compatibility Of OpenCL Kernels for a note about how to handle existing binaries.

Because OpenCL C is based on C99, you are free to process your data in OpenCL C functions as you would in C with few limitations. Aside from support for recursion and function pointers, there are not many language features that C has that OpenCL C doesn’t have. In fact, OpenCL C provides several beneficial features that the C programming language does not offer natively, such as optimized image access functions. OpenCL C has built-in support for vector intrinsics and offers vector data types. The operators in OpenCL C are overloaded, and performing arithmetic between vector data types is syntactically equivalent to performing arithmetic between scalar values. Refer to the The OpenCL Specification for more details on the built-in functions and facilities of the OpenCL C language.

Prerequisites

Intel

Intel Opencl Mac

This guide assumes that you program in C and have access to The OpenCL Specification. Although this guide discusses many key OpenCL API functions, it does not provide detailed information on the OpenCL API or the OpenCL C programming language.

See Also

The OpenCL Specification, available from the Khronos Group at http://www.khronos.org/registry/cl/ provides information on the OpenCL standard.

The OpenCL Programming Guide by Aaftab Munshi, Benedict Gaster, Timothy G. Mattson, James Fung, and Dan Ginsburg, available from Pearson Education, Inc., is a helpful introduction to the OpenCL language and standard; these topics are not discussed in this book.

Intel Opencl Driver

For more information about Grand Central Dispatch queues, see Concurrency Programming Guide: Dispatch Queues.


Opencl Intel Cpu Support


Intel Opencl Sdk

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