查了下其他论坛回复，当优化比较复杂时，很容易CPU 100%，这是正常的。
链接 ：https://community.zemax.com/got-a-question-7/cpu-usage-is-low-during-optimization-934
摘抄如下：
Answer:
This is reasonably common and usually not a problem. There are a couple of reasons this might be, and the exact answer depends largely on the machine hardware, the .ZMX file itself, the number of variables, and the number and complexity of Merit Function Operands. The important thing to remember is that OpticStudio is always trying to use your resources as efficiently as possible (and this may mean using less than 100% of the available cores).
Firstly, based on the .ZMX file in question and the hardware, there may be memory limitations which prevent or would slow down the system if all cores were utilized. There is overhead in multi-threading; for each core used in optimization, OpticStudio has to copy over and store the optical system in memory. If you have a memory-intensive system (some complex CAD objects, a high-density grid sag surface, etc.) then it might be slow to create this copy, or it is possible that there's simply not have enough system memory for each of the cores.
Secondly, it's important to consider how the optimizer is threaded. In optimization, OpticStudio will only use as many cores as you have variables assigned. So, if you have a 16 core machine but only 3 optimization variables, ZOS will only ever use 3 (at most) cores for the optimization.
Finally, the complexity of the Merit Function is important. As I mentioned before, there is overhead in launching threads. If the Merit Function is simple and easy to compute (i.e. a Gaussian Quadrature Wavefront MF might be a few dozen or hundred ray traces), then it might be more efficient to simply run the optimization on a single core or just a couple cores.
Over the past few years, there have been a couple of releases in which there were improvements to the algorithm to decide how many threads to launch for optimization. For this reason, you might observe differences in CPU usage for the same file (and MF, variables) between versions. However, it should be the case that optimization in the newer versions is more efficient and runs more quickly than older iterations.
发表于 2022-11-27 15:44
