Skip to search formSkip to main contentSkip to account menu

OpenCL API

Known as: OpenCL 2.0, OpenCL 1.1, OpenCL 1.2 
Open Computing Language (OpenCL) is a framework for writing programs that execute across heterogeneous platforms consisting of central processing… 
Wikipedia (opens in a new tab)

Related topics

Related topics

50 relations
AMD Radeon Rx 200 seriesAdrenoAltiVecAndroid

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2016
Review
2016
On How to Improve FPGA-Based Systems Design Productivity via SDAccel
Custom hardware accelerators are widely used to improve the performance of software applications in terms of execution times and… 
2015
2015
Autotuning OpenCL Workgroup Size for Stencil Patterns
Selecting an appropriate workgroup size is critical for the performance of OpenCL kernels, and requires knowledge of the… 
2014
2014
Fast, Flexible High-Level Synthesis from OpenCL using Reconfiguration Contexts
High-level synthesis from OpenCL has shown significant potential, but current approaches conflict with mainstream OpenCL design… 
2014
2014
Portable and Transparent Host-Device Communication Optimization for GPGPU Environments
General purpose graphics processors units (GPU) provide the potential for high computational performance with reduced cost and… 
2014
2014
On Portability, Performance and Scalability of an MPI OpenCL Lattice Boltzmann Code
High performance computing increasingly relies on heterogeneous systems, based on multi-core CPUs, tightly coupled to… 
2013
2013
K-Means for Parallel Architectures Using All-Prefix-Sum Sorting and Updating Steps
We present an implementation of parallel K-means clustering, called Kps-means, that achieves high performance with near-full… 
2013
2013
Performance Traps in OpenCL for CPUs
With its design concept of cross-platform portability, OpenCL can be used not only on GPUs (for which it is quite popular), but… 
2012
2012
Accelerating Viola-Jones Facce Detection Algorithm on GPUs
The Viola-Jones face detection algorithm represents a class of parallel algorithms that both memory accesses and work… 
2011
2011
StreamMR: An Optimized MapReduce Framework for AMD GPUs
MapReduce is a programming model from Google that facilitates parallel processing on a cluster of thousands of commodity… 
Highly Cited
2010
Highly Cited
2010
GPU-Accelerated Method of Moments by Example: Monostatic Scattering
In this paper, we combine and extend two of our previous works to provide a more complete solution for the GPU acceleration of… 
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)