Results 91 to 100 of about 21,831,698 (267)
To parallelize or not to parallelize, control and data flow issue
New trends towards multiple core processors imply using standard programming models to develop efficient, reliable and portable programs for distributed memory multiprocessors and workstation PC clusters. Message passing using MPI is widely used to write efficient, reliable and portable applications.
openaire +2 more sources
Beyond Data and Model Parallelism for Deep Neural Networks [PDF]
Zhihao Jia, Matei Zaharia, Alex Aiken
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Understanding the Effects of Data Parallelism and Sparsity on Neural\n Network Training [PDF]
Namhoon Lee +3 more
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The application of improved densenet algorithm in accurate image recognition
Image 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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HiHGNN: Accelerating HGNNs through Parallelism and Data Reusability Exploitation [PDF]
Runzhen Xue +10 more
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High-Performance Hybrid Algorithm for Minimum Sum-of-Squares Clustering of Infinitely Tall Data
This 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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Enhancing parallelism by removing cyclic data dependencies [PDF]
D'Hollander, Erik, Zhang, Fubo
core +1 more source
Measuring the Effects of Data Parallelism on Neural Network Training [PDF]
Christopher J. Shallue +5 more
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Social 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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