Titlebook: Advanced Parallel Processing Technologies; 13th International S Pen-Chung Yew,Per Stenstr?m,Tao Li Conference proceedings 2019 Springer Nat

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0302-9743 rganized in topical sections named: System Support for Neural Networks; Scheduling and File Systems; Optimization and Parallelization; Security and Algorithms..978-3-030-29610-0978-3-030-29611-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

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https://doi.org/10.1007/3-211-29422-8eep learning algorithms. In order to improve the performance of the neural network accelerator, algorithm optimization and data layout in the neural network development kit (NDK) are indispensable. The rich data types in neural network algorithms determine the diversity of data layout information. H

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Biofeedback im Schmerzmanagement,y can be improved because data is placed on persistent storage in scan order. However, it introduces intolerable overhead on renaming a directory because of the modification on the full path names of files under that directory. In this paper, we introduce . mechanism on B+-tree to accelerate renamin

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Biofeedback und Neurofeedback bei Tinnitus,re shared among multiple tenants. For example, secret information in the shared cache can be inferred by other malicious processes, which is called cache-based attacks. To defeat against such attacks, many detection methods have been proposed. However, most of the existing detection mechanisms compl

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Pooja Baweja,Savindra Kumar,Gaurav Kumarlure diagnosis, etc. In a large-scale deployment system, log records are always unstructured and can not directly use for log analysis. Log parsing, as a key prerequisite for log analysis, converts unstructured log records into structured event templates by extracting the constant portion of the raw

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Biofibers and Biopolymers for Biocompositesnarios, such as network intrusion detection, fraud detection and fault detection. This paper proposes a new anomaly detection method Distribution Forest (dForest) inspired by Isolation Forest (iForest). dForest builds an ensemble of special binary trees called distribution tree (dTree). The basic id

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https://doi.org/10.1007/978-3-030-29611-7artificial intelligence; classification; computer architecture; data security; distributed computer syst