Memorias de investigación
Communications at congresses:
Characterizing Hyperspectral Data Layouts: Performance and Energy Efficiency in Embedded GPUs for PCA-based Dimensionality Reduction
Year:2019

Research Areas
  • Information technology and adata processing

Information
Abstract
The increasing demand for HyperSpectral Imaging (HSI) applications has pushed the appearance of new, smaller and more affordable HS cameras. Their adoption in embedded systems with real-time and energy constraints open research questions given the huge amounts of data involved. Traditionally, this issue is tackled with dimensionality reduction algorithms as Principal Component Analysis (PCA). In this regard, a highly impacting factor in performance is the data layout used to store the 3D HS image into a 1D memory. In this paper, the impact of using the three main HS data layouts (BSQ, BIP and BIL) is analyzed in terms of performance and energy efficiency for two PCA methods in the embedded NVIDIA Jetson TX1 GPU-based accelerator. Results show the bottlenecks found for each layout along with architectural insights that explain the observed behaviours. Consequently, we provide a set of recommendations to select a suitable PCA method for best performance and energy efficiency, depending on the number of principal components required. Additionally, we observe how different orderings with similar results account for a much different developer?s productivity given the involved coding complexity in each case.
International
Si
Congress
XXXIV Conference on Design of Circuits and Integrated Systems (DCIS 2019)
960
Place
Bilbao
Reviewers
Si
ISBN/ISSN
978-1-7281-5458-9
10.1109/DCIS201949030.2019.8959835
Start Date
20/11/2019
End Date
22/11/2019
From page
1
To page
6
2019 XXXIV Conference on Design of Circuits and Integrated Systems (DCIS)
Participants

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Diseño Electrónico y Microelectrónico
  • Departamento: Ingeniería Telemática y Electrónica
  • Centro o Instituto I+D+i: Centro de Investigación en Tecnologías del Software y Sistemas Multimedia para la Sostenibilidad (CITSEM)