High-Performance Schedulers
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چکیده
منابع مشابه
Characterizing Task Scheduling Performance Based on Data Reuse
Through the past years, several scheduling heuristics were introduced to improve the performance of task-based applications, with schedulers increasingly becoming aware of memory-related bottlenecks such as data locality and cache sharing. However, there are not many useful tools that provide insights to developers about why and where different schedulers do better scheduling, and how this is r...
متن کاملPerformance Analysis with HPX
With High Performance Computing moving towards Exascale, where parallel applications will be required to run concurrently on millions of cores, every part of the computational model must perform ideally to achieve optimal performance. The task scheduler is one of such entities that could be enhanced to runtime application prerequisites. Not only the overheads associated with task scheduling var...
متن کاملHigh Mobility Evaluation for Voice & Video over LTE
Due to the exponential clients demand for new services with high Quality (QOS). 3GPP has developed a new cellular standard based packet switching allowing high data rate, 100 Mbps in Downlink and 50 Mbps in Uplink, this standard is termed LTE (Long Term Evolution). Beyond the improvement in bit rate, LTE aims to provide a highly efficient, low latency, spectrum flexibility and higher mobile spe...
متن کاملDraft as Accepted to Sigmetrics Please Do Not Distribute -symbiotic Jobscheduling with Priorities for a Simultaneous Multithreading Processor
Simultaneous Multithreading machines beneet from jobscheduling software that monitors how well coscheduled jobs share CPU resources, and coschedules jobs that interact well to make more eecient use of those resources. As a result, informed coscheduling can yield signiicant performance gains over naive schedulers. However, prior work has only focused only the situation where jobs have equal prio...
متن کاملThe Blacklisting Memory Scheduler: Balancing Performance, Fairness and Complexity
In a multicore system, applications running on different cores interfere at main memory. This inter-application interference degrades overall system performance and unfairly slows down applications. Prior works have developed application-aware memory request schedulers to tackle this problem. State-of-the-art application-aware memory request schedulers prioritize memory requests of applications...
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