This paper is aimed at resolving the reconfiguration problem of software distributed shared memory (DSM) systems in non-dedicated clusters. Different to the past studies focused on dedicated clusters, the goal of this study focuses on prompting system-wide jobs' throughput rather than DSM programs' performance. We invent a novel approach called Progressive Multilayer Reconfiguration (PMR) for DSM systems. As named, reconfiguration is divided into three different layers, i.e., processor, application, and node in this approach. According to the state transfer of the workload, the three different layer reconfigurations are progressively and respectively performed during the execution of DSM applications. The preliminary results show that PMR can not only utilize abundant CPU cycles available in non-dedicated clusters for DSM applications but also minimize the slowdown of local jobs caused by the disturb from DSM applications.