Results 1 to 10 of about 15,538 (169)

Acceleration and Parallelization of a Linear Equation Solver for Crack Growth Simulation Based on the Phase Field Model

open access: yesMathematics, 2021
We aim to accelerate the linear equation solver for crack growth simulation based on the phase field model. As a first step, we analyze the properties of the coefficient matrices and prove that they are symmetric positive definite. This justifies the use
Gaku Ishii   +2 more
doaj   +1 more source

Rolling Bearing Fault Diagnosis Method Based on Parallel QPSO-BPNN Under Spark-GPU Platform

open access: yesIEEE Access, 2021
Facing the massive rolling bearing vibration data, how to improve the training efficiency, diagnosis efficiency, and diagnosis accuracy of the rolling bearing fault diagnosis model is a challenge. Considering that the Spark-GPU platform provides powerful
Lanjun Wan   +5 more
doaj   +1 more source

Parallel Locality and Parallelization Quality [PDF]

open access: yesProceedings of the 7th International Workshop on Programming Models and Applications for Multicores and Manycores, 2016
This paper presents a new distributed computation model adapted to manycore processors. In this model, the run is spread on the available cores by fork machine instructions produced by the compiler , for example at function calls and loops iterations. This approach is to be opposed to the actual model of computation based on cache and predictor.
Goossens, Bernard   +3 more
openaire   +2 more sources

An Adaptive Density-Sensitive Similarity Measure Based Spectral Clustering Algorithm and Its Parallelization

open access: yesIEEE Access, 2021
The clustering effect of the spectral clustering algorithm depends on the calculation of the similarity between samples. Although a better clustering effect of the spectral clustering algorithm can be obtained using the Gaussian kernel function to ...
Gen Zhang   +4 more
doaj   +1 more source

Acceleration of boundary element calculations for closed domain using nonlinear form functions and CUDA technology

open access: yesДоклады Белорусского государственного университета информатики и радиоэлектроники, 2021
The evolution of computer technologies, as a hardware and a software parts, allows to attain fast and accurate  solutions  to  many  applied  problems  in  scientific  areas.
S. S. Sherbakov, M. M. Polestchuk
doaj   +1 more source

Accelerating Forward Algorithm for Stochastic Automata on Graphics Processing Units

open access: yesIEEE Access, 2020
A stochastic automaton is a non-deterministic automata with input and output behavior which works serially and synchronously. Stochastic automata is being used in different application areas.
Muhammad Umer Sarwar   +3 more
doaj   +1 more source

Exploiting Multi-Level Parallelism for Run-Time Adaptive Inverse Kinematics on Heterogeneous MPSoCs

open access: yesIEEE Access, 2020
This paper presents a run-time solver for the inverse kinematics of a robotic arm implemented on a heterogeneous Multi-Processor System-on-Chip (MPSoC).
Leonardo Suriano   +4 more
doaj   +1 more source

A Parallelizable Task Offloading Model with Trajectory-Prediction for Mobile Edge Networks

open access: yesEntropy, 2022
As an emerging computing model, edge computing greatly expands the collaboration capabilities of the servers. It makes full use of the available resources around the users to quickly complete the task request coming from the terminal devices.
Pu Han   +4 more
doaj   +1 more source

To parallelize or not to parallelize, bugs issue

open access: yesCoRR, 2013
Program correctness is one of the most difficult challenges in parallel programming. Message Passing Interface MPI is widely used in writing parallel applications. Since MPI is not a compiled language, the programmer will be enfaced with several programming bugs.This paper presents the most common programming bugs arise in MPI programs to help the ...
Alaa I. El-Nashar, Masaki Nakamura 0001
openaire   +2 more sources

PlantES: A Plant Electrophysiological Multi-Source Data Online Analysis and Sharing Platform

open access: yesApplied Sciences, 2018
At present, plant electrophysiological data volumes and complexity are increasing rapidly. It causes the demand for efficient management of big data, data sharing among research groups, and fast analysis.
Chao Song   +10 more
doaj   +1 more source

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