In computing, a compute kernel is a routine compiled for high throughput accelerators (such as graphics processing units (GPUs), digital signal processors...

convolution Compute kernel, in GPGPU programming Kernel method, in machine learning Kernelization, a technique for designing efficient algorithms Kernel, a routine...

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...

executed on an OpenCL device are called "kernels".: 17  A single compute device typically consists of several compute units, which in turn comprise multiple...

computational elements for the execution of compute kernels. In addition to drivers and runtime kernels, the CUDA platform includes compilers, libraries...

be used to compute kernel density estimates using normal kernels. MATLAB interface available. In C++, libagf is a library for variable kernel density estimation...

The kernel is a computer program at the core of a computer's operating system and generally has complete control over everything in the system. The kernel...

found at AMD Infinity hub. As of version 3.0, Blender can now use HIP compute kernels for its renderer cycles. Julia has the AMDGPU.jl package, which integrates...

performance model used to provide performance estimates of a given compute kernel or application running on multi-core, many-core, or accelerator processor...

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...

for directly running custom compute kernels on the VideoCore GPU on all Raspberry Pi's. This allows general-purpose computing on graphics processing units...

weighted, where we position the center of the kernel on each of the boundary points of the image, and compute a weighted sum. The values of a given pixel...

The Linux kernel is a free and open source,: 4  UNIX-like kernel that is used in many computer systems worldwide. The kernel was created by Linus Torvalds...

Intel oneAPI Math Kernel Library (Intel oneMKL) , formerly know as Intel Math Kernel Library, is a library of optimized math routines for science, engineering...

comparison. Linux distributions that have highly modified kernels — for example, real-time computing kernels — should be listed separately. There are also a wide...

OpenGL Shading Language (GLSL) Tungsten Graphics Shader Infrastructure Compute kernel Parallel Thread Execution ARB assembly language "Khronos SPIR-V Registry...

Open Compute Kernel (ROCK) driver Radeon Open Compute Runtime (ROCR) runtime HCC: Heterogeneous Compute Compiler HIP: C++ Heterogeneous-Compute Interface...

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...

processors – vertex, primitive, fragment and mainly compute pipelines allow programmer to perform kernel on streams of data Rasterizer – creates fragments...

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...

statistics, kernel principal component analysis (kernel PCA) is an extension of principal component analysis (PCA) using techniques of kernel methods. Using...

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...

In mathematics, the kernel of a linear map, also known as the null space or nullspace, is the part of the domain which is mapped to the zero vector of...

then turns the graph into an actual, compiled shader. GLSL SPIR-V HLSL Compute kernel Shading language GPGPU List of common shading algorithms Vector processor...

In computing, kernel same-page merging (KSM), also known as kernel shared memory, memory merging, memory deduplication, and page deduplication is a kernel...

auto-parallelization of compute kernels. It enables applications to be constructed from chains of compute kernels forming a task and pipeline parallel compute graph. Programs...

the kernel can be computed by solving the homogeneous system of linear equations Mv = 0. In this case, the kernel of T may be identified to the kernel of...

Microsoft DirectCompute is an application programming interface (API) that supports running compute kernels on general-purpose computing on graphics processing...

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...

Compute Node Kernel (CNK) is the node level operating system for the IBM Blue Gene series of supercomputers. The compute nodes of the IBM Blue Gene family...