Skip to search formSkip to main contentSkip to account menu

Compute kernel

Known as: Compute shaders, Compute kernels, Compute shader 
In computing, a compute kernel is a routine compiled for high throughput accelerators (such as GPUs), DSPs or FPGAs, separate from (but used by) a… 
Wikipedia (opens in a new tab)

Related topics

Related topics

39 relations
AMD Radeon 400 seriesC++ AMPCUDAComputer for operations with functions

Broader (1)

Parallel computing

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Visualising higher-dimensional space-time 1 and space-scale objects as projections to 2 R 3 3
9 Objects of more than three dimensions can be used to model geographic phenomena that occur in space, time and scale. For… 
2017
2017
Pictory: combining neural style transfer and image filtering
This work presents Pictory, a mobile app that empowers users to transform photos into artistic renditions by using a combination… 
2016
2016
Automated dataflow graph merging
In this paper we present several algorithms used to construct a tool that automatically optimizes static dataflow graphs for the… 
2015
2015
An investigation of compiler vectorization on current and next-generation Intel processors using benchmarks and Sandia?s Sierra applications.
Sandia and Los Alamos National Laboratories are acquiring Trinity, a Cray XC40, with half of the nodes having Haswell processors… 
2013
2013
An Investigation of a Novel Parallel Computation Scheme Designed for a Simulation of Amino-Acid Leaking Problem inside α-Al2O3 Nano-Channels
Hemodialysis is a process to clean the metabolic wastes inside human body. Our previous researches on this topic fundamentally… 
2012
2012
Emerging Architectures Enable to Boost Massively Parallel Data Mining Using Adaptive Sparse Grids
Gaining knowledge out of vast datasets is a main challenge in data-driven applications nowadays. Sparse grids provide a numerical… 
2012
2012
Reducing Instruction Issue Overheads in Application-Specific Vector Processors
The traditional approach to IP core design is to use simulations with test vectors. This is not feasible when dealing with… 
2012
2012
Analysis and Optimization of Financial Analytics Benchmark on Modern Multi- and Many-core IA-Based Architectures
In the past 20 years, computerization has driven explosive growth in the volume of financial markets and in the variety of traded… 
2009
2009
Designing and optimizing compute kernels on NVIDIA GPUs
The availability of high performance compute capability in NVIDIA GPUs has expanded their use in CAD environments. We will… 
2007
2007
An Iterative Algorithm for Robust Kernel Principal Component Analysis
Principal component analysis (PCA) has been proven to be an efficient method in dimensionality reduction, feature extraction and… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)