多核处理器与高速缓存的集成提高了队列调度能力

Nikita Sawati
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引用次数: 0

摘要

空间共享的优点是消除了多路编程,从而消除了上下文切换的开销。然而,一个同样明显的缺点是,当CPU阻塞并且在它再次准备好之前根本无事可做时,会浪费时间。因此,人们一直在寻找尝试在时间和空间上同时调度的算法,特别是对于创建多个线程的进程,这些线程通常需要在彼此之间进行通信。针对进程(或作业)的线程独立调度时可能出现的问题,本研究通过多核处理器和缓存的集成增强了队列调度的能力,并在MATLAB中进行了性能仿真。使组调度工作的诀窍是所有cpu都是同步调度的。这意味着时间被分成离散的量子。在每个新量程开始时,所有cpu都被重新调度,在每个新线程上启动一个新线程
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Enhancing Capability of Gang Scheduling by Integration of Multi Core Processors & Cache
Advantage of space sharing is elimination of multiprogramming, which eliminates context switching overhead. However, an equally clear disadvantage is time wasted when a CPU blocks & has nothing at all to do until it becomes ready again. Consequently, people had  looked for algorithms that attempt to schedule within in both time & space together, specially for processes that is create multiple threads, which usually need to communicate within one another.To see kind of problem that could occur when threads of a process (or processes of a job) are independently scheduled, In our research we had enhanced capability of Gang Scheduling by integration of multi core processor & Cache & make simulation of performance in MATLAB.The trick that makes gang scheduling work is that all CPUs are scheduled synchronously. This means that time is divided into discrete quanta. At start of each new quantum, all CPUs are rescheduled, within a new thread being started on each one
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