We are seeking a skilled Fortran developer who is experienced in solving eigenvalue problems using block matrix LU decomposition and inverse power method. The project involves optimizing and parallelizing existing Fortran code to improve performance and scalability. The ideal candidate will have a deep understanding of parallel computing techniques and be able to effectively implement parallelization strategies. The project requires strong knowledge of Fortran, numerical linear algebra, and parallel programming.

Responsibilities:
– Analyze existing Fortran code and identify areas for optimization and parallelization
– Implement parallel computing strategies to improve performance and scalability
– Test and debug the code to ensure its accuracy and efficiency

Requirements:
– Proven experience in Fortran programming
– Strong background in solving eigenvalue problems using block matrix LU decomposition and inverse power method
– Proficiency in parallel programming and optimization techniques
– Solid understanding of numerical linear algebra
– Ability to work independently and deliver high-quality results within the given timeframe

If you are a Fortran expert with a passion for performance optimization and parallel computing, we would love to hear from you!

Please include relevant examples of your previous work in your application.

Budget: $1,000

Posted On: August 02, 2024 04:49 UTC
Category: Desktop Software Development
Skills:MQL 4, MATLAB, C++, Python, MetaTrader 4

Country: United Kingdom

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