AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |
Back to Blog
Particle playground high cpu12/24/2023 ![]() You can do this with a single channel, closing it when you want to abort, as receiving on a closed channel can proceed immediately, yielding the zero value of the element type of the channel, and goroutines may check it using the select statement while also having a default branch, else the select statement would just block forever. Machine Learning in High Energy Physics Community White Paper. Use an "endless" loop which does nothing except check if it's time to abort. allocated to each background process, each of which runs on its own CPU (processor core). Cooler Master MasterGel Pro V2 High Performance Thermal Compound with High CPU/GPU Conductivity W/m.k 9m Design for CPU and GPU Coolers Noctua NT-H2 3.5g, Pro-Grade Thermal Compound Paste incl. If your scene is set up in such a way that the viewport is always 100. Using fmt.Println() is a bad idea as it may be directed to a file, a network connection etc., and as such, printing to it may block (I/O wait). Limit the number of particles generated by particle effects. If you are CPU bound, you can decide to keep the list of active meshes unchanged. Note that you don't even have to manually set the max number of CPUs that can execute simultaneously ( runtime.GOMAXPROCS()), as this defaults to the number of available cores since Go 1.5. to be higher precision, but in practice it is not any more because it was found that high precision timers could be used to exploit CPU cache bugs. ![]() You don't really need any "CPU-intensive" calculations you just have to avoid blocking operations (such as waiting for data on a network connection or writing to a file) and you need at least as many goroutines doing this as CPU cores you have available (this can be queried using runtime.NumCPU()).
0 Comments
Read More
Leave a Reply. |