Best computer specifications for fast Matlab numerical simulations/integrations?
104 ビュー (過去 30 日間)
古いコメントを表示
I have an old and slow PC, and it's time to consider buying a new one. I need it for writing simulations involving heavy numerical integrations of differential equations with high precision, which take a lot of computing time. I'm wondering what kind of specifications I should look for. I assume the most powerful processor and lots of memory, but do you have any other suggestions?
0 件のコメント
回答 (2 件)
Bruno Luong
2024 年 9 月 11 日
編集済み: Bruno Luong
2024 年 9 月 11 日
The bench command in R2024a rates intel i9-12900 CPU on Windows 11 and Mac M2 best for ODE
IMO the intel processor get hot easily a can be in Throttling mode if you do intensive calculation long time. The MAC has poor graphic performance. Something to consider.
John D'Errico
2024 年 9 月 11 日
Something I've said before, when this same question gets asked...
If you will do heavy computations for lengthy periods of time, you will find your CPU gets hot. And I mean, literally hot. Enough so that it can cook the innards. And that means it needs to cool itself down. If your system does not have a good fan (laptops do not seems to have good fans in my experience, if they have any fan at all) then it needs to artificaially slow itself down. It does this by changing its clock speed. It talks in ssssssllllooooowwwww motion.
When this was a problem for us, and we were using a laptop as our only choice, we got an external fan, so a fan the laptop sat on top of. And that did help, a lot. Better, if you are doing heavy duty computations, and you have a choice, is to use a stationary system, with a GOOD internal fan! The result be be full speed, all the time. No throttling needed.
As for any other specifications, that very much depends on what you are doing. For example, some problems cannot be easily parallelized. And that means you don't need lots of cores on your CPU, but you do need a CPU with high clock speed. For example, large scale symbolic computations generally use only one core. But if you are doing massive linear algebra, then lots of cores will help. And large scale linear algebra happens for many problems. Solving large scale NONLINEAR systems of equations? It still uses linear algebra internally. Solving an ODE with thousands of equartions? Large scale. So you need to know what class of problems you are solving before you decide on the optimal system. Of course, if you just get lots of memory and the fasted possible cpu that you can afford, it is a good start.
You mention numerical integration of differential equations, but we don't know what is taking the time there. Is this just a very large problem? Again, now linear algebra is important then.
3 件のコメント
Bruno Luong
2024 年 9 月 12 日
It seems link you don't really need high performance graphic vard on gamer PC. Again Intel i9 12th generation is notorious for heat. So you need good cooling.
Walter Roberson
2024 年 9 月 12 日
And Intel i9 13th and 14th generation are notorious for being unstable and potentially bricking themselves.
参考
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!