UPV-EHU ADDI
  • Back
    • English
    • Español
    • Euskera
  • Login
  • English 
    • English
    • Español
    • Euskera
  • FAQ
View Item 
  •   Home
  • INVESTIGACIÓN
  • Tesis Doctorales
  • TD-Ingeniería y Arquitectura
  • View Item
  •   Home
  • INVESTIGACIÓN
  • Tesis Doctorales
  • TD-Ingeniería y Arquitectura
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Contributions to the efficient use of general purpose coprocessors: kernel density estimation as case study

Thumbnail
View/Open
Tesis Doctoral (5.022Mb)
Date
2015-06-19
Author
López Novoa, Unai
Metadata
Show full item record
URI
http://hdl.handle.net/10810/15955
Abstract
The high performance computing landscape is shifting from assemblies of homogeneous nodes towards heterogeneous systems, in which nodes consist of a combination of traditional out-of-order execution cores and accelerator devices. Accelerators provide greater theoretical performance compared to traditional multi-core CPUs, but exploiting their computing power remains as a challenging task.This dissertation discusses the issues that arise when trying to efficiently use general purpose accelerators. As a contribution to aid in this task, we present a thorough survey of performance modeling techniques and tools for general purpose coprocessors. Then we use as case study the statistical technique Kernel Density Estimation (KDE). KDE is a memory bound application that poses several challenges for its adaptation to the accelerator-based model. We present a novel algorithm for the computation of KDE that reduces considerably its computational complexity, called S-KDE. Furthermore, we have carried out two parallel implementations of S-KDE, one for multi and many-core processors, and another one for accelerators. The latter has been implemented in OpenCL in order to make it portable across a wide range of devices. We have evaluated the performance of each implementation of S-KDE in a variety of architectures, trying to highlight the bottlenecks and the limits that the code reaches in each device. Finally, we present an application of our S-KDE algorithm in the field of climatology: a novel methodology for the evaluation of environmental models.
Collections
  • TD-Ingeniería y Arquitectura

DSpace software copyright © 2002-2015  DuraSpace
OpenAIRE
OpenAIRE
 

 

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesDepartamentos (cas.)Departamentos (eus.)SubjectsThis CollectionBy Issue DateAuthorsTitlesDepartamentos (cas.)Departamentos (eus.)Subjects

My Account

Login

Statistics

View Usage Statistics

DSpace software copyright © 2002-2015  DuraSpace
OpenAIRE
OpenAIRE