Measuring Data-Aware Process Consistency Based on Activity Constraint Graphs
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DOI: 10.1109/access.2018.2795701
Abstract: Data-aware processes play a crucial role in various IT systems, including requirement elicitation, domain analysis, software design, and system execution. Due to frequent changes in business environments and continual internal adjustments of enterprises, data-aware processes… read more here.
Keywords: process consistency; process; data aware; aware process ... See more keywords
Data-Aware Adaptive Pruning Model Compression Algorithm Based on a Group Attention Mechanism and Reinforcement Learning
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DOI: 10.1109/access.2022.3188119
Abstract: The success of convolutional neural networks (CNNs) benefits from the stacking of convolutional layers, which improves the model’s receptive field for image data but also causes a decrease in inference speed. To improve the inference… read more here.
Keywords: attention mechanism; aware adaptive; reinforcement learning; data aware ... See more keywords
Data-Aware Task Dispatching for Batch Queuing System
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DOI: 10.1109/jsyst.2015.2471850
Abstract: This paper describes a scheduling method focusing on exploiting the local access of a nonuniform storage-access file system. In our approach, the file access cost is calculated and combined with the CPU load average into… read more here.
Keywords: system; task dispatching; aware task; data aware ... See more keywords
Measuring Similarity for Data-Aware Business Processes
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DOI: 10.1109/tase.2021.3049772
Abstract: Business process similarity measures are of vital importance for process repository management applications, such as process query, process recommendation, and process clustering. Most existing approaches measure process similarity by relying on control-flow structures only. This… read more here.
Keywords: similarity measures; process; similarity; data aware ... See more keywords
Data-Aware Predictive Scheduling for Distributed-Memory Ray Tracing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2021.3114838
Abstract: Scientific ray tracing now can include realistic shading and material properties, but tracing rays of various depths to conclusion through partitioned data is inefficient. For such data, many ray scheduling methods have demonstrated improved rendering… read more here.
Keywords: predictive scheduling; ray; scheduling distributed; ray tracing ... See more keywords