Results 1 to 10 of about 186,522 (338)
Unifying Data, Model and Hybrid Parallelism in Deep Learning via Tensor Tiling [PDF]
, 2018 Minjie Wang +2 more
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The application of improved densenet algorithm in accurate image recognition
Scientific ReportsImage recognition technology belongs to an important research field of artificial intelligence. In order to enhance the application value of image recognition technology in the field of computer vision and improve the technical dilemma of image ...
Yuntao Hou +3 more
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Научно-технический вестник информационных технологий, механики и оптикиSocial media contains a huge amount of data that is used by various organizations to study people’s emotions, thoughts and opinions. Users often use emoticons and emojis in addition to words to express their opinions on a topic.
S. Jini Starlin, N. Indra Chenthalir
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High-Performance Hybrid Algorithm for Minimum Sum-of-Squares Clustering of Infinitely Tall Data
MathematicsThis paper introduces a novel formulation of the clustering problem, namely, the minimum sum-of-squares clustering of infinitely tall data (MSSC-ITD), and presents HPClust, an innovative set of hybrid parallel approaches for its effective solution.
Ravil Mussabayev, Rustam Mussabayev
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HetPipe: Enabling Large DNN Training on (Whimpy) Heterogeneous GPU Clusters through Integration of Pipelined Model Parallelism and Data Parallelism [PDF]
, 2020 Jay Park +7 more
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Engineering ProceedingsThis research paper analyzes and highlights the benefits of parallel processing to enhance performance and computational efficiency in modern computing systems.
Mirela Sino, Ervin Domazet
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, 1991 Data compression schemes remove data redundancy in communicated and stored data and increase the effective capacities of communication and storage devices. Parallel algorithms and implementations for textual data compression are surveyed. Related concepts from parallel computation and information theory are briefly discussed. Static and dynamic methods
Stauffer, Lynn M., Hirschberg, Daniel S.
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Combining stream with data parallelism abstractions for multi-cores
, 2022 Júnior Löff +3 more
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