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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: December 2025
Volume 10 | Issue 12
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19445
Article Published : 8041
Total Authors : 21252
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| Paper Title: | Performance Analysis of Parallel Strategies for Epidemic Simulation |
| Authors Name: | Danusri E , Dr. N Priya , Dr. V Keerthika , Shakthivel K |
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IJRTI_206860
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| Published Paper Id: | IJRTI2510137 |
| Published In: | Volume 10 Issue 10, October-2025 |
| DOI: | |
| Abstract: | Efficient epidemic spread simulation is vital for understanding and controlling infectious diseases. With the growing size of real-world datasets like COVID-19, traditional serial simulations become computationally intensive. This study compares four parallel computing strategies: Threading, Multiprocessing, Message Passing Interface (MPI), and a Hybrid MPI Multiprocessing approach- applied to the Susceptible Infected Recovered (SIR) model. Using five thousand COVID-19 country-level records, each method is evaluated based on execution time and scalability. Results show that while threading and multiprocessing yield modest gains for smaller datasets, MPI and hybrid approaches achieve superior scalability and performance. The hybrid method demonstrates the best balance between computation and communication, highlighting its potential for large-scale epidemic simulations on modern multicore and distributed systems. |
| Keywords: | Epidemic Simulation, SIR Model, Parallel Computing, Threading, Multiprocessing, MPI, Hybrid Computing, Performance Analysis, Scalability. |
| Cite Article: | "Performance Analysis of Parallel Strategies for Epidemic Simulation", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 10, page no.b306-b312, October-2025, Available :http://www.ijrti.org/papers/IJRTI2510137.pdf |
| Downloads: | 00083 |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2510137
Registration ID:206860
Published In: Volume 10 Issue 10, October-2025
DOI (Digital Object Identifier):
Page No: b306-b312 Country: Coimbatore, Tamil Nadu, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2510137 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2510137 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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