GPU acceleration of prediction-based lower triangular transform for lossless compression
學年 101
學期 1
發表日期 2012-08-12
作品名稱 GPU acceleration of prediction-based lower triangular transform for lossless compression
作品名稱（其他語言）
著者 Wei, Shih-Chieh; Huang , Bormin
作品所屬單位 淡江大學資訊管理學系
出版者
會議名稱 Proc. SPIE 8514, Satellite Data Compression, Communications, and Processing VIII, 851404
會議地點 San Diego, California, USA
摘要 The prediction-based lower triangular transform (PLT) features the same de-correlation and coding gain properties as the Karhunen-Loeve transform (KLT), but with a lower design and implementational cost. Unlike KLT, PLT has the perfect reconstruction property which allows its direct use for lossless compression. Our previous work has shown that PLT is good for lossless compression of ultraspectral sounder data with several thousands of channels. As the computation involves many operations on large matrices, this work will exploit the parallel compute power of graphics processing unit (GPU) to speed up the PLT encoding scheme. The CUDA (Compute Unified Device Architecture) platform by NVidia will be used for comparison with a single threaded CPU core. The experimental result reveals that our GPU implementation of the PLT encoding scheme shows a speedup of 95x compared to its original Matlab implementation on CPU. Thus it is promising to apply the GPU-based PLT encoding scheme for ultraspectral sounder data compression. � (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
關鍵字 Graphics processing units;Computer programming;Data compression;MATLAB ; Matrices
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 20120812~20120812
通訊作者
國別 USA
公開徵稿 Y
出版型式 紙本
出處
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