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OpenCL (Open Computing Language) is a framework for writing programs that execute across heterogeneous platforms consisting of central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), field-programmable gate arrays (FPGAs) and other processors or hardware accelerators.
ClojureCL: parallel OpenCL 2.0 with Clojure [117] dcompute: native Execution of D [118] Erlang OpenCL binding [119] OpenCLAda: Binding Ada to OpenCL [120] OpenCL.jl: Julia bindings [121] PyOpenCL, [122] Python interface to OpenCL API; Project Coriander: Conversion CUDA to OpenCL 1.2 with CUDA-on-CL [123] [124]
The open standards SYCL and OpenCL are similar to the programming models of the proprietary stack CUDA from Nvidia and HIP from the open-source stack ROCm, supported by AMD. [38] In the Khronos Group realm, OpenCL and Vulkan are the low-level non-single source APIs, providing fine-grained control over hardware resources and operations. OpenCL ...
As of 2016, OpenCL is the dominant open general-purpose GPU computing language, and is an open standard defined by the Khronos Group. [citation needed] OpenCL provides a cross-platform GPGPU platform that additionally supports data parallel compute on CPUs. OpenCL is actively supported on Intel, AMD, Nvidia, and ARM platforms.
The system records user actions and infers a generalized program that can be used on new examples. PbE is intended to be easier to do than traditional computer programming, which generally requires learning and using a programming language. Many PbE systems have been developed as research prototypes, but few have found widespread real-world ...
With these background reasons, a non-profit Khronos Group [2] designed and developed WebCL, which is a Javascript binding to OpenCL with a portable kernel programming, enabling parallel computing on web browsers, across a wide range of devices. In short, WebCL consists of two parts, one being Kernel programming, which runs on the processors ...
The terms programming by example (PbE) and programming by demonstration (PbD) appeared in software development research as early as the mid 1980s [1] to define a way to define a sequence of operations without having to learn a programming language.
Metal is an object-oriented API that can be invoked using the Swift, Objective-C or C++17 [2] programming languages. Full-blown GPU execution is controlled via the Metal Shading Language. Full-blown GPU execution is controlled via the Metal Shading Language.