Accelerating the prediction-based lower triangular transform for data compression using Intel MIC

Shih-Chieh Wei; Bormin Huang

doi:10.1117/12.2197301

20 October 2015 Accelerating the prediction-based lower triangular transform for data compression using Intel MIC

Shih-Chieh Wei, Bormin Huang

Proceedings Volume 9646, High-Performance Computing in Remote Sensing V; 96460N (2015) https://doi.org/10.1117/12.2197301
Event: SPIE Remote Sensing, 2015, Toulouse, France

Abstract

With the same decorrelation and coding gain capabilities as the Karhunen-Loeve transform, the prediction-based lower triangular transform (PLT) can apply its perfect reconstruction property for lossless compression of ultraspectral sounder data. As the compression process requires computation of the covariance matrix, the LDU decomposition, and the transform kernel and coefficient matrices, it will be beneficial to introduce parallel processing technology in the PLT implementation. In this work, the recent Intel Many Integrated Core (MIC) architecture will be used which can exploit up to 60 cores with 4 hardware threads per core. Both threading and vectorization techniques will be explored for performance improvement. In our experiment, the total processing time of an AIRS granule can have a speedup of ~4.6x. With the offload mode, the MIC architecture provides a convenient and efficient tool for parallelization of the PLT compression scheme.

Citation Download Citation

Shih-Chieh Wei and Bormin Huang "Accelerating the prediction-based lower triangular transform for data compression using Intel MIC", Proc. SPIE 9646, High-Performance Computing in Remote Sensing V, 96460N (20 October 2015); https://doi.org/10.1117/12.2197301

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available