https://doi.org/10.1140/epjp/i2011-11001-5
Regular Article
Optimization of HEP codes on GPUs
Applying NVIDIA's CUDA computing model to HEP software
GSI, Planckstrasse 1, 64291, Darmstadt, Germany
* e-mail: m.al-turany@gsi.de
Received:
2
November
2010
Revised:
19
November
2010
Accepted:
29
November
2010
Published online:
7
January
2011
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 co-processor 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.
© Società Italiana di Fisica and Springer, 2011
