Results 91 to 100 of about 21,831,698 (267)

To parallelize or not to parallelize, control and data flow issue

open access: yes, 2013
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

Profiling and optimization of Python-based social sciences applications on HPC systems by means of task and data parallelism

open access: hybrid, 2023
Łukasz Szustak   +5 more
openalex   +1 more source

Understanding the Effects of Data Parallelism and Sparsity on Neural\n Network Training [PDF]

open access: green, 2020
Namhoon Lee   +3 more
openalex   +1 more source

The application of improved densenet algorithm in accurate image recognition

open access: yesScientific Reports
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
doaj   +1 more source

HiHGNN: Accelerating HGNNs through Parallelism and Data Reusability Exploitation [PDF]

open access: green, 2023
Runzhen Xue   +10 more
openalex   +1 more source

High-Performance Hybrid Algorithm for Minimum Sum-of-Squares Clustering of Infinitely Tall Data

open access: yesMathematics
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
doaj   +1 more source

Measuring the Effects of Data Parallelism on Neural Network Training [PDF]

open access: green, 2018
Christopher J. Shallue   +5 more
openalex   +1 more source

Emotion analysis of social network data using cluster based probabilistic neural network with data parallelism

open access: yesНаучно-технический вестник информационных технологий, механики и оптики
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
doaj   +1 more source

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