"Kernel (compute)" redirects here. For other uses, see Kernel (disambiguation).
Not to be confused with Kernel (operating system).
In computing, a compute kernel is a routine compiled for high throughput accelerators (such as graphics processing units (GPUs), digital signal processors (DSPs) or field-programmable gate arrays (FPGAs)), separate from but used by a main program (typically running on a central processing unit). They are sometimes called compute shaders, sharing execution units with vertex shaders and pixel shaders on GPUs, but are not limited to execution on one class of device, or graphics APIs.[1][2]
^Introduction to Compute Programming in Metal, 14 October 2014
In computing, a computekernel is a routine compiled for high throughput accelerators (such as graphics processing units (GPUs), digital signal processors...
convolution Computekernel, in GPGPU programming Kernel method, in machine learning Kernelization, a technique for designing efficient algorithms Kernel, a routine...
executed on an OpenCL device are called "kernels".: 17 A single compute device typically consists of several compute units, which in turn comprise multiple...
to compute for datasets larger than a couple of thousand examples without parallel processing. Kernel methods owe their name to the use of kernel functions...
computational elements for the execution of computekernels. In addition to drivers and runtime kernels, the CUDA platform includes compilers, libraries...
In statistics, kernel density estimation (KDE) is the application of kernel smoothing for probability density estimation, i.e., a non-parametric method...
found at AMD Infinity hub. As of version 3.0, Blender can now use HIP computekernels for its renderer Cycles. Julia has the AMDGPU.jl package, which integrates...
for directly running custom computekernels on the VideoCore GPU on all Raspberry Pi's. This allows general-purpose computing on graphics processing units...
The Linux kernel is a free and open-source,: 4 monolithic, modular, multitasking, Unix-like operating system kernel. It was originally written in 1991...
performance model used to provide performance estimates of a given computekernel or application running on multi-core, many-core, or accelerator processor...
comparison. Linux distributions that have highly modified kernels — for example, real-time computingkernels — should be listed separately. There are also a wide...
Intel oneAPI Math Kernel Library (Intel oneMKL; formerly Intel Math Kernel Library or Intel MKL) is a library of optimized math routines for science, engineering...
a kernel function to compute the similarity of unseen samples to training samples. The algorithm was invented in 1964, making it the first kernel classification...
A kernel panic (sometimes abbreviated as KP) is a safety measure taken by an operating system's kernel upon detecting an internal fatal error in which...
and populate the kernel with the means of those clusters. Since even this method may yield a relatively large K, it is common to compute only the top P...
auto-parallelization of computekernels. It enables applications to be constructed from chains of computekernels forming a task and pipeline parallel compute graph. Programs...
In structure mining, a graph kernel is a kernel function that computes an inner product on graphs. Graph kernels can be intuitively understood as functions...
then turns the graph into an actual, compiled shader. GLSL SPIR-V HLSL Computekernel Shading language GPGPU List of common shading algorithms Vector processor...
A kernel smoother is a statistical technique to estimate a real valued function f : R p → R {\displaystyle f:\mathbb {R} ^{p}\to \mathbb {R} } as the weighted...
In computing, a loadable kernel module (LKM) is an object file that contains code to extend the running kernel, or so-called base kernel, of an operating...
Microsoft DirectCompute is an application programming interface (API) that supports running computekernels on general-purpose computing on graphics processing...
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