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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… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Accelerating LINPACK with MPI-OpenCL on Clusters of Multi-GPU Nodes
OpenCL is an open standard to write parallel applications for heterogeneous computing systems. Since its usage is restricted to a… 
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… 
2013
2013
An application-centric evaluation of OpenCL on multi-core CPUs
2012
2012
Efficient performance evaluation of memory hierarchy for highly multithreaded graphics processors
With the emergence of highly multithreaded architectures, performance monitoring techniques face new challenges in efficiently… 
Highly Cited
2012
Highly Cited
2012
Generating Device-specific GPU Code for Local Operators in Medical Imaging
To cope with the complexity of programming GPU accelerators for medical imaging computations, we developed a framework to… 
Highly Cited
2011
Highly Cited
2011
OpenCL in Action: How to Accelerate Graphics and Computations
OpenCL 
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… 
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