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:Acceleration of the partitioned predictive vector quantization lossless compression method with Intel MIC
學年103
學期1
發表日期2014/09/22
作品名稱Acceleration of the partitioned predictive vector quantization lossless compression method with Intel MIC
作品名稱(其他語言)
著者Wei, Shih-Chieh; Bormin Huang
作品所屬單位淡江大學資訊管理學系
出版者
會議名稱
會議地點Amsterdam, Netherlands
摘要The partitioned predictive vector quantization (PPVQ) algorithm is known for its high compression ratio for lossless compression of the ultraspectral sounder data with high spatial and spectral resolutions. With the advent of the multicore technologies, parallelization of several parts of the algorithm has been explored in previous work using a compute unified device architecture (CUDA) aided environment on the Graphics Processing Unit (GPU). Recently the Intel Many Integrated Core (MIC) architecture on a coprocessor is introduced which shows promise in handling more divergent workloads as needed in PPVQ. Therefore we will explore the parallel performance of the MIC-aided implementation. With parallelization of the two most time-consuming modules of linear prediction and vector quantization in PPVQ, the total processing time of an AIRS granule can be compressed in less than 7.5 seconds which is equivalent to a speedup of ~8.8x. The use of MIC for PPVQ compression is thus promising as a low-cost and effective compression solution for ultraspectral sounder data for ground rebroadcast use.
關鍵字
語言英文(美國)
收錄於EI
會議性質國際
校內研討會地點
研討會時間20140922~20140922
通訊作者
國別荷蘭
公開徵稿Y
出版型式紙本
出處Proc. SPIE 9247, High-Performance Computing in Remote Sensing IV, 92470E
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