Results 11 to 20 of about 393,113 (294)
DPS - dynamic parallel schedules [PDF]
Eighth International Workshop on High-Level Parallel Programming Models and Supportive Environments, 2003. Proceedings., 2003 Dynamic Parallel Schedules (DPS) is a high-level framework for developing parallel applications on distributed memory computers (e.g. clusters of PCs). Its model relies on compositional customizable split-compute-merge graphs of operations (directed acyclic flow graphs).
S. Gerlach, R.D. Hersch
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A Reinforcement Learning Approach to Dynamic Scheduling in a Product-Mix Flexibility Environment
IEEE Access, 2020 Machine bottlenecks, resulting from shifting and unbalanced machine loads caused by resource capacity limitations, impair product-mix flexibility production systems.
Yeou-Ren Shiue +2 more
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Analyzing logic programs with dynamic scheduling [PDF]
, 1994 Traditional logic programming languages, such as Prolog, use a fixed left-to-right atom scheduling rule. Recent logic programming languages, however, usually provide more flexible scheduling in which computation generally proceeds leftto- right but in ...
García de la Banda, M. +2 more
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Dynamic scheduling method for data relay satellite networks considering hybrid system disturbances
Complex & Intelligent Systems, 2023 System disturbances, such as the change of required service durations, the failure of resources, and temporary tasks during the scheduling process of data relay satellite network (DRSN), are difficult to be predicted, which may lead to unsuccessful ...
Zongling Li +4 more
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Dynamic Appointment Scheduling
, 2021 This paper considers appointment scheduling in a setting in which at every client arrival the schedule of all future clients can be adapted. Starting our analysis with an explicit treatment of the case of exponentially distributed service times, we then develop a phase-type-based approach to also cover cases in which the service times' squared ...
Mahes, Roshan +3 more
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Dynamic Scheduling of Crane by Embedding Deep Reinforcement Learning into a Digital Twin Framework
Information, 2022 This study proposes a digital twin (DT) application framework that integrates deep reinforcement learning (DRL) algorithms for the dynamic scheduling of crane transportation in workshops.
Zhenyu Xu +3 more
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Dynamic Task Scheduling Method for Space Crowdsourcing [PDF]
Jisuanji kexue, 2022 Space crowdsourcing is used to solve offline crowdsourcing tasks with time and space constraints,and it has developed rapidly in recent years.Task scheduling is an important research direction of space crowdsourcing.The difficulty lies in the dynamic ...
SHEN Biao, SHEN Li-wei, LI Yi
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The synthesis of a hardware scheduler for Non-Manifest Loops [PDF]
, 2002 This paper addresses the hardware implementation of a dynamic scheduler for non-manifest data dependent periodic loops. Static scheduling techniques which are known to give near optimal scheduling-solutions for manifest loops, fail at scheduling non ...
Krol, Thijs +2 more
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A Nonlinear Static Scheduling Strategy for Linear Loop Structure [PDF]
Jisuanji gongcheng, 2022 The existing OpenMP scheduling strategies usually use a single dynamic scheduling strategy to deal with linear loops, leading to unbalanced loads and high scheduling overhead.To solve the problem, this paper proposes a nonlinear static scheduling ...
LI Yapeng, PANG Jianmin, XU Jinlong, NIE Kai
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Dynamic Face Video Segmentation via Reinforcement Learning
, 2021 For real-time semantic video segmentation, most recent works utilised a dynamic framework with a key scheduler to make online key/non-key decisions. Some works used a fixed key scheduling policy, while others proposed adaptive key scheduling methods ...
Cheng, Shiyang +5 more
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