If you can get that kind of performance out of Matlab, then you should be able to simulate every cell of C. elegans in real time with < 1,000 cores with a rewrite in C. Some researchers at the University of Glasgow already have a working 1,000 core processor (using FPGAs). I’m gonna to have to do some updating on this.
The metabolism, anyway. This is a high-level model of the metabolism of a simple bacteria, and I’m not sure how close one could consider it to a neuron which was part of a functioning neural network, for example.
I believe you, but where does it say that in the paper? They mention it running on a 128 core cluster, but my brief skimming missed them saying anything about run times.
Fulltext
It’s interesting that this high-level modeling of a single cell runs at near realtime on a single core, while being written in Matlab.
You beat me to it! Have the full text in some other places anyway. (1), (2), (3).
If you can get that kind of performance out of Matlab, then you should be able to simulate every cell of C. elegans in real time with < 1,000 cores with a rewrite in C. Some researchers at the University of Glasgow already have a working 1,000 core processor (using FPGAs). I’m gonna to have to do some updating on this.
The metabolism, anyway. This is a high-level model of the metabolism of a simple bacteria, and I’m not sure how close one could consider it to a neuron which was part of a functioning neural network, for example.
I believe you, but where does it say that in the paper? They mention it running on a 128 core cluster, but my brief skimming missed them saying anything about run times.
C-f for ’128′; the cluster was being used to simulate 128+ cells by my reading, so that’s a core or less per cell.