教師資料查詢 | 類別: 會議論文 | 教師: 魏世杰 Wei Shih-chieh (瀏覽個人網頁)

標題: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
語言英文
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
國別美國
公開徵稿Y
出版型式紙本
出處
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