Detail publikace

Optimizing Code for Graphics Processing Units

SCHWARZ, J. POSPÍCHAL, P.

Originální název

Optimizing Code for Graphics Processing Units

Anglický název

Optimizing Code for Graphics Processing Units

Jazyk

en

Originální abstrakt

Graphics processing units (GPUs) are suitable for acceleration of many difficult scientific tasks. Several high-level languages for GPU have become available such as CUDA and OpenCL and GPU technology is rapidly advancing. This paper presents methods for the code optimization for general purpose computation on GPUs (GPGPU). Architecture of the GPU is briefly introduced as well as experiments leading to conclusions about factors mostly affecting their performance. Paper is concluded with the aim of PhD thesis.

Anglický abstrakt

Graphics processing units (GPUs) are suitable for acceleration of many difficult scientific tasks. Several high-level languages for GPU have become available such as CUDA and OpenCL and GPU technology is rapidly advancing. This paper presents methods for the code optimization for general purpose computation on GPUs (GPGPU). Architecture of the GPU is briefly introduced as well as experiments leading to conclusions about factors mostly affecting their performance. Paper is concluded with the aim of PhD thesis.

Dokumenty

BibTex


@inproceedings{BUT76455,
  author="Josef {Schwarz} and Petr {Pospíchal}",
  title="Optimizing Code for Graphics Processing Units",
  annote="Graphics processing units (GPUs) are suitable for acceleration of many
difficult scientific tasks. Several high-level languages for GPU have become
available such as CUDA and OpenCL and GPU technology is rapidly advancing. This
paper presents methods for the code optimization for general purpose computation
on GPUs (GPGPU). Architecture of the GPU is briefly introduced as well as
experiments leading to conclusions about factors mostly affecting their
performance. Paper is concluded with the aim of PhD thesis.",
  address="Slovak University of Technology in Bratislava",
  booktitle="Počítačové architektury a diagnostika 2011",
  chapter="76455",
  edition="NEUVEDEN",
  howpublished="print",
  institution="Slovak University of Technology in Bratislava",
  year="2011",
  month="september",
  pages="79--84",
  publisher="Slovak University of Technology in Bratislava",
  type="conference paper"
}