Thank you. Will do after finishing some foundations (bought a few books, apart from youtube videos).berkeman said:I'm not able to help with that question, and these Introduction threads are just for brief intros.
It would be appropriate for you to start a thread in the Mechanical Engineering forum with questions about turbulence. Post links to the reading you have been doing so far on the subject, to help get the discussion started.
One can search with key words in the various forums "Mechanical Engineering", "Aerospace Engineering" and "Programming and Computer Science". We discuss turbulence, and in some cases, CFD.manueljenkin said:
High performance computing (HPC) is the use of advanced computing technologies and techniques to solve complex problems or perform large-scale simulations at a faster rate than traditional computing methods. This can include the use of parallel processing, specialized hardware, and optimized algorithms to achieve high levels of performance.
HPC is used in math and physics to solve complex equations, simulate physical systems, and analyze large datasets. This can include tasks such as modeling weather patterns, predicting the behavior of materials, and studying the interactions of subatomic particles. HPC allows researchers to perform these calculations and simulations in a timely manner, which would not be possible with traditional computing methods.
The use of HPC in research allows for faster and more accurate results, as well as the ability to tackle more complex problems. This can lead to new discoveries and advancements in various fields, including math and physics. Additionally, HPC can save time and resources by reducing the need for physical experiments or trial-and-error methods.
HPC can be expensive to implement and maintain, as it often requires specialized hardware and software. It also requires a high level of expertise to design and optimize algorithms for parallel processing. Additionally, managing and analyzing large amounts of data generated by HPC can be a challenge for researchers.
HPC is constantly evolving in the field of math and physics, with new hardware and software technologies being developed to improve performance and efficiency. There is also a growing focus on using HPC for data-driven research and machine learning applications. As the demand for faster and more powerful computing continues to increase, HPC will continue to play a crucial role in advancing research in these fields.