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Adaptive memory paging for efficient gang scheduling of parallel applications

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3 Author(s)
Kyung Dong Ryu ; Dept. of Comput. Sci. & Eng., Arizona State Univ., Tempe, AZ, USA ; Pachapurkar, N. ; Fong, L.L.

Summary form only given. The gang scheduling paradigm allows timesharing of computing nodes by multiple parallel applications and supports the coordinated context switches of these applications. It can improve system responsiveness and resource utilization. However, the memory paging overhead incurred during context switches can be expensive and may diminish the positive effects of gang scheduling. We investigate the reduction of paging overhead in gang scheduling environments by applying a set of simple, yet effective, adaptive paging techniques: selective page-out, aggressive page-out, adaptive page-in and background writing. Our experiments with NAS NPB2 benchmark programs show that these new adaptive paging mechanisms can reduce the job switching time significantly (up to 90%).

Published in:

Parallel and Distributed Processing Symposium, 2004. Proceedings. 18th International

Date of Conference:

26-30 April 2004