0% Complete
فارسی
Home
/
سیزدهمین کنفرانس بین المللی فناوری اطلاعات و دانش
A parallel approach to the fractional time delay model for predicting the spread of COVID-19
Authors :
Mahdi Movahedian Moghaddam
1
Kourosh Parand
2
1- shahid beheshti university
2- shahid beheshti university
Keywords :
COVID-19،Fractional calculus،Task parallelization،Predictor-corrector method
Abstract :
Due to the importance of forecast accuracy for diseases such as COVID-19, the existence of a mathematical model is particularly important. In this research, first, a model to describe the spread of the COVID-19 pandemic is examined. This model is based on a fractional ordinary differential equation. Then the predictor-corrector numerical method is presented to solve this model. Due to the computational challenge of numerically solving fractional models, a task-parallel approach with coarse granularity is presented to solve this model on shared memory systems. The initial data for testing the proposed approach is the data reported on December 31, 2019 by the Wuhan Municipal Commission of the outbreak of the COVID-19 pandemic in the city of Wuhan, China. The numerical results obtained from the proposed parallel approach show that the acceleration of the parallel method compared to the sequential method reaches 2.76 in the prediction of 1000 days.
Papers List
List of archived papers
Predicting Suicide Risk in Adolescents with Random Forest for Unbalanced Data Management
Fatemeh Rabbani - Dr Behrooz Masoumi - Dr Mohammad Reza Keyvanpour
Integrating Wasserstein GANs for High-Speed Transformer-Based Neural Machine Translation
Parisa Nekoogol - Mostafa Salehi
ارائه مدل هشت مولفه ای استراتژی جامع هوش مصنوعی سازمانی
محمد کاظم صیادی - نیلوفر مرادحاصل - علیرضا یاری
حفظ حریم خصوصی در انتشار نسخه های متوالی دادههای شبکه اجتماعی با امکان افزایش یال
طاهره سرزهی - دکتر مهری رجایی طاهره سرزهی - مهری رجایی -
Benchmarking Embedding Models for Persian-Language Semantic Information Retrieval
Mahmood Kalantari - Mehdi Feghhi - Nasser Mozayani
Revert Propagation: Who are responsible for a contagion initialization in a Diffusion Network?
Arman Sepehr - Mohammadzaman Zamani - Hamid Beigy - Shabnam Behzad
Persian deaf sign language recognition system using deep learning
Mohammad Ebrahimi
چارچوب پیشبینی خرابی تطبیقی مبتنی بر شبکه عصبی گراف پویا و GRU در سامانههای صنعتی IIoT
رسول اسماعیلی فرد - لیلا رنجبر
NFV-Based Distributed Service Function Chaining with Imperfect Information
Mahsa Alikhani - Marzieh Sheikhi - Dr Vesal Hakami
StockFM: پیش بینی قیمت بازار بورس ایران به کمک مدل بنیادین سری زمانی
فاطمه چیت ساز - سامان هراتی زاده
more
Samin Hamayesh - Version 42.5.2