Timesharing on a Massively Parallel Computer

目前的大规模并行计算机（MPC）已经被用作 具有批处理作业界面的单用户系统。 但 下一代将足够强大， 控制系统将需要支持多个用户， 减少CPU周期的损失。 对于具有多指令的MPC 多数据（MIMD）架构，动态调度的 CPU集群可以有效地使用CPU， 缺乏工作。 将开发一个动态工作混合控制系统 这将通过最大化CPU数量来优化作业吞吐量 分配到工作。

Present Massively Parallel Computers (MPCs) have been used as stand alone single user systems with a batch job interface. However, the next generation will be sufficiently powerful that time shared control systems will be required to support multiple users and minimize loss of CPU cycles. For MPCs with Multiple Instruction Multiple Data (MIMD) architectures, the dynamics scheduling of clusters of CPUs can allow effective use without idling CPUs from lack of work. A dynamic job mix control system will be developed which will optimize job throughput by maximizing the number of CPUs assigned to jobs.