Chad Winters

Poor font rendering

I have just tried to run this on both my pc (arch linux) running ngspice 44.2 and another (ubuntu) running ngspice 42. In both of them, it just hangs. Could this be a linux this ? Also, my version does not print the time (Device Setup finished after 42.166 seconds.) like yours.

Thanks, but can you test on the current stable version ?

Alter command hangs forever on large netlist

I just checked. ngspice is already running on all cores. So, it makes no sense to use multiprocessing in this case. Setting the number of processes in the python code to 4 or more almost slows things down to a complete crawl. Probably, it's because of the resource contention and context swithcing happening. Seems that there's nothing to do from my end. Thanks.

Not that much. I have 32GB installed. When building the lookup table, the total system usage including all opened directory is less than 7GB. There is a sample file, which you can run on your computer if you have python (+ ngspice, matplotlib, and scipy). Change the n_process to a number other than 1 and you will notice the slow down.

I am the author of a tool called mosplot that uses ngspice to create a lookup table of all the mosfet parameters to be used in offline optimization of analog circuits. To speed up the generation of the lookup table, I am using multiporcessing in python to launch several instances of ngspice. This is the snippet of the code that I am using to call ngspice. cmd = f"{self.simulator_path} -b -o {self.log_file_path} {self.input_file_path}" result = subprocess.run(cmd, shell=True, stdout=subprocess.DEVNULL,...

I am the author of a tool called mosplot that uses ngspice to create a lookup table of all the mosfet parameters to be used in offline optimization of analog circuits. To speed up the generation of the lookup table, I am using multiporcessing in python to launch several instances of ngspice. This is the snippet of the code that I am using to call ngspice. cmd = f"{self.simulator_path} -b -o {self.log_file_path} {self.input_file_path}" result = subprocess.run(cmd, shell=True, stdout=subprocess.DEVNULL,...