About cookies on this site Our websites require some cookies to function properly (required). In addition, other cookies may be used with your consent to analyze site usage, improve the user experience and for advertising. For more information, please review your options. By visiting our website, you agree to our processing of information as described in IBM’sprivacy statement. To provide a smooth navigation, your cookie preferences will be shared across the IBM web domains listed here.
Publication
IPDPS 2004
Conference paper
Adaptive memory paging for efficient gang scheduling of parallel applications
Abstract
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. This paper investigates 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%).