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International Conference on High-Performance Computing in Applied Mathematics - (ICHPCAM-27)

13th - 14th January 2027 , Kitakyushu - Japan

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Call For Papers

The (ICHPCAM-27) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Applied Mathematics, Mathematical Modeling are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • High-performance computing in numerical simulations
  • Parallel computing techniques in mathematics
  • Mathematical modeling for big data analysis
  • Optimizing algorithms for high-performance computing
  • Applications of HPC in engineering problems
  • Data-intensive computing in applied mathematics
  • Mathematical modeling of large-scale systems
  • Performance evaluation of computational algorithms
  • HPC applications in scientific research
  • Mathematical modeling of complex simulations
  • Efficient algorithms for high-dimensional problems
  • Mathematical modeling of distributed systems
  • Applications of GPU computing in mathematics
  • High-performance computing in climate modeling
  • Mathematical modeling of fluid dynamics using HPC
  • Scalable algorithms for big data applications
  • Mathematical modeling in real-time systems
  • High-performance computing in optimization problems
  • Mathematical modeling of network traffic
  • Applications of HPC in bioinformatics

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.