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   

929

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: 2.2/5. From 3 votes.
Please wait...

* * *

* * *

Featured events

2018
November
27-30
Hida Takayama, Japan

The Third International Workshop on GPU Computing and AI (GCA), 2018

2018
September
19-21
Nagoya University, Japan

The 5th International Conference on Power and Energy Systems Engineering (CPESE), 2018

2018
September
22-24
MediaCityUK, Salford Quays, Greater Manchester, England

The 10th International Conference on Information Management and Engineering (ICIME), 2018

2018
August
21-23
No. 1037, Luoyu Road, Hongshan District, Wuhan, China

The 4th International Conference on Control Science and Systems Engineering (ICCSSE), 2018

2018
October
29-31
Nanyang Executive Centre in Nanyang Technological University, Singapore

The 2018 International Conference on Cloud Computing and Internet of Things (CCIOT’18), 2018

HGPU group © 2010-2018 hgpu.org

All rights belong to the respective authors

Contact us: