Julius Plehn, A. Fuchs, Michael Kuhn, Jakob Lüttgau, T. Ludwig
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Data-Aware Compression for HPC using Machine Learning
While compression can provide significant storage and cost savings, its use within HPC applications is often only of secondary concern. This is in part due to the inflexibility of existing approaches where a single compression algorithm has to be used throughout the whole application but also because insights into the behaviour of the algorithms within the context of individual applications are missing.
期刊介绍:
Operating Systems Review (OSR) is a publication of the ACM Special Interest Group on Operating Systems (SIGOPS), whose scope of interest includes: computer operating systems and architecture for multiprogramming, multiprocessing, and time sharing; resource management; evaluation and simulation; reliability, integrity, and security of data; communications among computing processors; and computer system modeling and analysis.