Supporting real-time and privacy-preserving learning at the edge is emerging as a critical trend,bringing forth substantial challenges for deep learning(DL)training in the context of limited GPU(graphic processing uni...Supporting real-time and privacy-preserving learning at the edge is emerging as a critical trend,bringing forth substantial challenges for deep learning(DL)training in the context of limited GPU(graphic processing unit)memory.Recent work has sought to address the limitations by swapping tensors between GPU memory and CPU memory.Unfortunately,their tensor-based memory management encounters additional overhead since the swapped tensors do not align with the actual memory demands,resulting in decreased throughput.This paper introduces a vTensor-based memory management approach designed to mitigate memory swapping overhead.Virtualized tensors,dubbed vTensors,are used to finely align memory swapping amounts with real-time memory demands.Firstly,we introduce an abstraction layer that virtualizes coarse-grained tensors to multiple finer-grained vTensors.Secondly,we propose the Layered Graph Model(LGM)for analyzing vTensor mappings,which produces a memory swapping plan leveraged in the subsequent DL training iterations.Evaluations conducted on typical edge deep learning models illustrate that our approach surpasses prior work with a 15.60%increase in DL training throughput.展开更多
The interplay of academic atmosphere,learning motivation,and strategies inherently influences English learning.Effective vocabulary acquisition strategies significantly influence the achievements of English acquisitio...The interplay of academic atmosphere,learning motivation,and strategies inherently influences English learning.Effective vocabulary acquisition strategies significantly influence the achievements of English acquisition.Vocabulary mastery,a cornerstone of middle school English education,raises a critical question:How can vocabulary strategies optimize students’memory,understanding,and vocabulary application?This article elaborates on the importance and characteristics of vocabulary learning in Chinese junior high schools,analyzes definitions and theories of learning strategies,and proposes specific vocabulary approaches tailored to junior high school students in rural-urban fringe areas.展开更多
The combination of case-based reasoning （CBR） and genetic algorithm （GA） is considered in the problem of failure mode identification in aeronautical component failure analysis. Several imple- mentation issues such...The combination of case-based reasoning （CBR） and genetic algorithm （GA） is considered in the problem of failure mode identification in aeronautical component failure analysis. Several imple- mentation issues such as matching attributes selection, similarity measure calculation, weights learning and training evaluation policies are carefully studied. The testing applications illustrate that an accuracy of 74.67 % can be achieved with 75 balanced-distributed failure cases covering 3 failure modes, and that the resulting learning weight vector can be well applied to the other 2 failure modes, achieving 73.3 % of recognition accuracy. It is also proved that its popularizing capability is good to the recognition of even more mixed failure modes.展开更多
Successful FL learners are characterized by knowing how to use language learning strategies effectively. This pilot study demonstrates the procedure to cultivate the effectiveness of the strategy training to the learn...Successful FL learners are characterized by knowing how to use language learning strategies effectively. This pilot study demonstrates the procedure to cultivate the effectiveness of the strategy training to the learners of low language proficiency. It begins with a questionnaire surveying the learners' use of strategy in language acquisition, and then a strategy training integrated with the class teaching and learners' learning diary are introduced. The analysis proves that strategy training to learners of low proficiency can become a crutch for their further study.The role of teachers in the process of the training is also discussed. The author proposes that teachers should be ready for the shift of the role to be an organizer, facilitator, councilor or cooperator, even a negotiator in the road of promoting autonomous learners.展开更多
基金supported by the National Key Research and Development Program of China under Grant No.2023YFB3308702the National Natural Science Foundation of China under Grant No.62302489the Strategy Priority Research Program of the Chinese Academy of Sciences under Grant No.XDA0360301.
文摘Supporting real-time and privacy-preserving learning at the edge is emerging as a critical trend,bringing forth substantial challenges for deep learning(DL)training in the context of limited GPU(graphic processing unit)memory.Recent work has sought to address the limitations by swapping tensors between GPU memory and CPU memory.Unfortunately,their tensor-based memory management encounters additional overhead since the swapped tensors do not align with the actual memory demands,resulting in decreased throughput.This paper introduces a vTensor-based memory management approach designed to mitigate memory swapping overhead.Virtualized tensors,dubbed vTensors,are used to finely align memory swapping amounts with real-time memory demands.Firstly,we introduce an abstraction layer that virtualizes coarse-grained tensors to multiple finer-grained vTensors.Secondly,we propose the Layered Graph Model(LGM)for analyzing vTensor mappings,which produces a memory swapping plan leveraged in the subsequent DL training iterations.Evaluations conducted on typical edge deep learning models illustrate that our approach surpasses prior work with a 15.60%increase in DL training throughput.
文摘The interplay of academic atmosphere,learning motivation,and strategies inherently influences English learning.Effective vocabulary acquisition strategies significantly influence the achievements of English acquisition.Vocabulary mastery,a cornerstone of middle school English education,raises a critical question:How can vocabulary strategies optimize students’memory,understanding,and vocabulary application?This article elaborates on the importance and characteristics of vocabulary learning in Chinese junior high schools,analyzes definitions and theories of learning strategies,and proposes specific vocabulary approaches tailored to junior high school students in rural-urban fringe areas.
文摘The combination of case-based reasoning （CBR） and genetic algorithm （GA） is considered in the problem of failure mode identification in aeronautical component failure analysis. Several imple- mentation issues such as matching attributes selection, similarity measure calculation, weights learning and training evaluation policies are carefully studied. The testing applications illustrate that an accuracy of 74.67 % can be achieved with 75 balanced-distributed failure cases covering 3 failure modes, and that the resulting learning weight vector can be well applied to the other 2 failure modes, achieving 73.3 % of recognition accuracy. It is also proved that its popularizing capability is good to the recognition of even more mixed failure modes.
文摘Successful FL learners are characterized by knowing how to use language learning strategies effectively. This pilot study demonstrates the procedure to cultivate the effectiveness of the strategy training to the learners of low language proficiency. It begins with a questionnaire surveying the learners' use of strategy in language acquisition, and then a strategy training integrated with the class teaching and learners' learning diary are introduced. The analysis proves that strategy training to learners of low proficiency can become a crutch for their further study.The role of teachers in the process of the training is also discussed. The author proposes that teachers should be ready for the shift of the role to be an organizer, facilitator, councilor or cooperator, even a negotiator in the road of promoting autonomous learners.
