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Scalable Computing: Practice and Experience, is a great one. Especially the past issues where they talk about the basics of parallel and distributed programming

by AKluge 5y ago

Scalable Computing: Practice and Experience, is a great one. Especially the past issues where they talk about the basics of parallel and distributed programming. https://www.scpe.org/index.php/scpe/issue/archive https://www.scpe.org/index.php/scpe/issue/archive Do they have a hardware or software environment for large scale computing? I think a good place to start is understanding their environment and expectations. Do they expect a move to another language, like Fortran, or to exploit parallelism in Matlab? https://www.mathworks.com/help/parallel-computing/index.html https://www.mathworks.com/help/parallel-computing/index.html

AKluge 5y ago
Another option, also supported from within MATLAB is GPU computing, that is running the code on the GPU rather than on the CPU. https://www.mathworks.com/solutions/gpu-computing.html https://www.mathworks.com/solutions/gpu-computing.html This works very well, but only for some specific types of problems. Scientific computing is a huge field - you may find yourself needing to acquire some background in the science, in calculus, perhaps a bit of linear algebra (matrices), etc. It can, especially since it is associated with space flight, be a great deal of fun :) The odds are good they don't expect you to carry the science side of the project, but to work on performance and scalability of existing algorithms and methods. So, look at the existing code - what is the scientific domain - find an introduction or overview - what is the mathematics being employed - find reviews, and some more detailed material here - what numerical methods are in use - you will need to understand these, built on the above - exactly how do they envision it scaling - what are the performance issues that follow from this scaling
- TripleH 5y ago
  I have some previous experience in calculus and GPU, hopefully my memories of computer graphics classes will help me in this journey. A huge thank for your advices and the methodology shared!

by AKluge 5y ago

AKluge 5y ago

Another option, also supported from within MATLAB is GPU computing, that is running the code on the GPU rather than on the CPU. https://www.mathworks.com/solutions/gpu-computing.html https://www.mathworks.com/solutions/gpu-computing.html This works very well, but only for some specific types of problems. Scientific computing is a huge field - you may find yourself needing to acquire some background in the science, in calculus, perhaps a bit of linear algebra (matrices), etc. It can, especially since it is associated with space flight, be a great deal of fun :) The odds are good they don't expect you to carry the science side of the project, but to work on performance and scalability of existing algorithms and methods. So, look at the existing code - what is the scientific domain - find an introduction or overview - what is the mathematics being employed - find reviews, and some more detailed material here - what numerical methods are in use - you will need to understand these, built on the above - exactly how do they envision it scaling - what are the performance issues that follow from this scaling

TripleH 5y ago
I have some previous experience in calculus and GPU, hopefully my memories of computer graphics classes will help me in this journey. A huge thank for your advices and the methodology shared!