How do I start my computer with Task Scheduler?
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| Papers (17) | Insight |
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18 Citations | Moreover, our scheduler is able to efficiently handle execution with very limited resources by avoiding scheduling tasks that are expected to miss their deadlines and do not have an impact on future deadlines. |
01 Dec 2014 | With these features, SF3P can not only prototype a scheduler at high level of abstraction, but also execute the implemented task-set on specific hardware. |
19 May 2014 | The analysis highlights that these generic task-based runtimes achieve comparable results to the application-optimized embedded scheduler on homogeneous platforms. |
09 Mar 2015 | Further, SETSA, (SDN-Empowered Task Scheduler Algorithm) is proposed as a novel task scheduling algorithm for the offered ASETS architecture. |
08 Sep 2015 | One such component, the task scheduler, can potentially be optimized to runtime application requirements. |
26 Aug 2013 | Benchmarking on a set of task parallel programs using a work-stealing scheduler demonstrates that our approach is generally effective. |
14 Citations | By using the hardware acceleration as well as a very low overhead task scheduling software technique, we show that HARS outperforms an optimized state-of-the-art task scheduler by 13p for the execution of a parallel application. |
10 Oct 2011 | Moreover, the unified scheduler is more efficient than SMPSS, a particular implementation of a task dataflow language. |
| (c) As the run-time scheduler is aware of the future start times of processes in the pre-run-time schedule, the run-time scheduler can make more informed decisions at run-time. | |
37 Citations | A good task scheduler should adapt its scheduling strategy to the changing environment and the types of tasks. |
01 Apr 2019 22 Citations | Experimental results indicate that our scheduler outperforms prior work in terms of task schedulability and analysis time complexity. |
30 Nov 2010 35 Citations | We propose a new linear programming formulation and a local scheduler which exhibits low complexity and produces few task preemptions and migrations. |
15 Apr 2002 | Our studies show that the proposed scheduler offers a high "value ratio" (defined with respect to a near-optimal baseline algorithm) for non-trivial task sets. |
| Our scheduler can be implemented with reasonable hardware overhead. | |
04 Sep 2013 | We propose a scalable best-effort task scheduler implemented in hardware, which services a homogeneous multiprocessor architecture. |
| In this paper we designed a rank based efficient task scheduler which effectively utilizes resources and provides high performance than spaceshared and timeshared task schedulers. | |
| We propose a scalable hardware representation of task scheduler in a form of coprocessor based on EDF algorithm. |
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How can we design a task scheduler that is efficient and effective?5 answersEfficient and effective task schedulers can be designed by considering various factors. One approach is to integrate task scheduling with MPI and provide flexibility in job launch configurations. Another strategy is to use LSTM and attention algorithms to extract features from historical data and improve existing scheduling strategies. Additionally, a task scheduling method based on edge computing can optimize scheduling by classifying task characteristics and matching them with edge nodes. Furthermore, an efficient job scheduler for big data processing systems can be designed using multiple level priority queues and demotion of jobs based on service consumed. Finally, a real-time task scheduling model based on reinforcement learning can minimize queuing time and improve system load balancing and CPU utilization. These approaches provide different perspectives on designing efficient and effective task schedulers.
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