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학술저널

English Text Compression in Parallel

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Due to rapid progress in data communications, we are able to acquire the information we need with ease. One means of achieving this is a parallel machine such as the MasPar. Although the parallel machine makes it possible to receive/transmit enormous quantities of data, because of the increasing volume of information that must be processed, it is necessary to transmit only a minimal amount of data bits. This paper suggests a new coding method for the parallel machine, which compresses the data by reducing redundancy. Parallel Dynamic Octal Compact Mapping (PHDCM) compresses at least 1 byte per word, compared with other coding techniques, and achieves a 54.188-fold speedup with 64 processors to transmit 10 million characters.

Abstract

Ⅰ. Introduction

Ⅱ. Sequential Method

Ⅲ. Parallel Dynamic Octal-Compact Mapping

Ⅳ. Experimental Results

Ⅴ. Conclusion

References

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