2896

Optimization of HEP codes on GPUs

M. Al-Turany
GSI, Planckstrasse 1, 64291 Darmstadt, Germany
The European Physical Journal Plus, Volume 126, Number 1, 1-9

@article{springerlink:10.1140/epjp/i2011-11001-5,

   author={Al-Turany, M.},

   affiliation={GSI, Planckstrasse 1, 64291 Darmstadt, Germany},

   title={Optimization of HEP codes on GPUs},

   journal={The European Physical Journal Plus},

   publisher={Springer Berlin / Heidelberg},

   issn={},

   keyword={Condensed Matter Physics},

   pages={1-9},

   volume={126},

   issue={1},

   url={http://dx.doi.org/10.1140/epjp/i2011-11001-5},

   note={10.1140/epjp/i2011-11001-5},

   year={2011}

}

Download Download (PDF)   View View   Source Source   

836

views

The graphics processor units (GPUs) have evolved into high-performance co-processors that can be easily programmed with common high-level language such as C, Fortran and C++. Today’s GPUs greatly outpace CPUs in arithmetic performance and memory bandwidth, making them the ideal coprocessor to accelerate a variety of data parallel applications. Here, we shall describe the application of the data parallelism model supported in CUDA and GPUs with some example usage in high-energy physics software.
Rating: 2.2. From 3 votes.
Please wait...

* * *

* * *

HGPU group © 2010-2017 hgpu.org

All rights belong to the respective authors

Contact us: