Learning Parallel Computation as a particle physicist

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SUMMARY

Investing in a course on Parallel Computation is essential for Master's students in Nuclear and Particle Physics. Practicing physicists, regardless of specialization, utilize computers extensively, making Parallel Computation a vital skill. While coding proficiency enhances the benefits of such a course, it is not exclusively for computational physicists. The decision should align with individual career paths and interests, considering the opportunity costs involved.

PREREQUISITES
  • Understanding of basic programming concepts
  • Familiarity with computational physics principles
  • Knowledge of GPU and FPGA programming
  • Awareness of the role of Parallel Computation in scientific research
NEXT STEPS
  • Explore advanced GPU programming techniques
  • Research FPGA programming for scientific applications
  • Study the principles of Parallel Programming in computational physics
  • Investigate the impact of Parallel Computation on data analysis in particle physics
USEFUL FOR

Graduate students in physics, researchers in particle physics, and professionals seeking to enhance their computational skills in scientific contexts.

orochi
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I am starting my Master's Degree in Nuclear and Particle Physics, should i invest in taking a course in Parallel Computation? I know the role that Parallel Computation has in particle physics, but is there any use in a particle physicst learning about parallel computation, or could it be considered a waste of time since only physicists specialized in computational physics need to know about parallel computation?
 
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I would say yes, you should take the course. Virtually all practicing physicists use computers extensively, not just "physicists specialized in computational physics". Parallel computation is a very important tool to have in your toolbox.
 
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I don’t think it is that clear cut. If you are not a coder type, it is probably not a good idea. If you are a coder type, it might be better to learn to program gpu’s or fpga’s. Or parallel programming might be exactly what you need. It depends on your specific path. Everything has an opportunity cost.
 
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