Performance evaluation of computer architectures with main memory data compression |
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| Affiliation: | 1. International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China;2. Shanghai Key Laboratory of Embryo Original Disease, Shanghai 200030, China;3. Department of Biostatistics, Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China;4. Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai 200011, China;1. Norwegian Institute of Public Health, P.O. Box 4404, Nydalen, 0403 Oslo, Norway;2. University of Oslo, Department of Psychology, P.O. Box 1094, Blindern, 0317 Oslo, Norway;3. University of Oslo, KG Jebsen Center for Influenza Vaccine Research, P.O. Box 1171, Blindern, 0318 Oslo, Norway |
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| Abstract: | In this paper we investigate the application of data compression to the main memory of current workstation architectures. We propose an organisation where data and code are stored in compressed form while there is competition for memory resources. Main memory data compression allows programs with working sets much greater than physical memory to execute efficiently without resorting to costly disk paging activity. A performance model for this architecture clearly demonstrates that system performance may be improved by up to a factor of two when using software based memory compression instead of paging, while hardware assisted memory compression can improve performance by up to an order of magnitude. |
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