Hybrid Conferencee

International Conference on Parallel Computing and Large-Scale Simulations (ICPCLSS - 26)

7th - 8th September 2026 | Manchester, UK

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Manchester. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Manchester event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Manchester conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Manchester, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Manchester."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 4
SDG 4 Quality Education
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 11
SDG 11 Sustainable Cities and Communities
Track 01

Advancements in Parallel Computing Techniques

This track focuses on the latest methodologies and frameworks in parallel computing. Researchers are invited to present innovative approaches that enhance computational efficiency and performance.

Track 02

Large-Scale Simulations in Computational Science

This session aims to explore the role of large-scale simulations in solving complex scientific problems. Contributions that demonstrate the application of simulations in various fields of science are encouraged.

Track 03

Machine Learning Algorithms for Big Data

This track examines the integration of machine learning algorithms in processing and analyzing big data. Papers that showcase novel techniques and their applications in real-world scenarios are welcome.

Track 04

High-Performance Computing Applications

This session highlights the application of high-performance computing in various domains. Researchers are invited to share their findings on how HPC can solve large-scale problems efficiently.

Track 05

Optimization Techniques in Computational Models

This track focuses on optimization strategies used in computational models to improve performance and accuracy. Contributions that address both theoretical and practical aspects of optimization are encouraged.

Track 06

Distributed Systems for Data Science

This session explores the architecture and implementation of distributed systems tailored for data science applications. Papers that discuss scalability, reliability, and performance in distributed environments are sought.

Track 07

Cloud Computing in Computational Science

This track investigates the impact of cloud computing on computational science research and applications. Contributions that highlight the benefits and challenges of cloud-based solutions are welcome.

Track 08

Numerical Methods for Large-Scale Problems

This session focuses on the development and application of numerical methods to tackle large-scale computational problems. Researchers are invited to present innovative numerical techniques and their effectiveness.

Track 09

Automation in Data-Driven Research

This track examines the role of automation in enhancing data-driven research methodologies. Contributions that demonstrate automated processes in data collection, analysis, and interpretation are encouraged.

Track 10

Modeling and Simulation in Engineering Applications

This session focuses on the use of modeling and simulation techniques in engineering disciplines. Papers that showcase practical applications and case studies are particularly welcome.

Track 11

Scalability Challenges in High-Performance Systems

This track addresses the challenges of scalability in high-performance computing systems. Researchers are invited to discuss solutions and strategies for overcoming scalability issues in various applications.