Thanks for this. The latest research report 10^14 already appears to be a significant update on that paper.
IBM now report roughly eight times as many simulated neurons and synapses, while the slow-down has gone from ~400x real-time to ~1500x real time. That works out at a factor > 2 in hardware improvement within a matter of months. They are using a custom hardware architecture and presumably there are still a lot of optimisations to be made. It can’t be very long before this can run in real time.
As said in other comments, nobody knows how to program this yet...
The full paper might be useful: http://conferences.computer.org/sc/2012/papers/1000a085.pdf
Thanks for this. The latest research report 10^14 already appears to be a significant update on that paper.
IBM now report roughly eight times as many simulated neurons and synapses, while the slow-down has gone from ~400x real-time to ~1500x real time. That works out at a factor > 2 in hardware improvement within a matter of months. They are using a custom hardware architecture and presumably there are still a lot of optimisations to be made. It can’t be very long before this can run in real time.
As said in other comments, nobody knows how to program this yet...
The paper seems to indicate that the sim is running 388 times slower than real-time. I guess we’re not 100% there hardware-wise yet? Good.
this is worryingly fast IMO.