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I am not sure if I should be impressed until they reveal more details. 160 TB over 40 nodes is 4 TB per node, which assuming 512 GB dimms requires only 8 dimms (4 per socket) or with 256 GB dimms 16 dimms (8 per socket). How fast is the interconnect? 100Gb/s? So far it sounds like an common high memory HPC cluster unit with really unknown technical parameters.
Earlier quoted context omitted.
~100 billions neurons in a human brain I guess. Not sure what 1.6KB per neuron is too close to
This comment currently has a reply ( http://i.imgur.com/N7BZJfu.png ) which shows why I wanted to leave my original post as a "riddle" rather than coming out and saying it. The following "crap" is not relevant to anything, only read it if you want the answer to why 1.6 KB is insufficient for a certain science fiction fantasy which will never, not in ten, a hundred, or a thousand years, become relevant any more than m…
I am not sure if I should be impressed until they reveal more details. 160 TB over 40 nodes is 4 TB per node, which assuming 512 GB dimms requires only 8 dimms (4 per socket) or with 256 GB dimms 16 dimms (8 per socket). How fast is the interconnect? 100Gb/s? So far it sounds like an common high memory HPC cluster unit with really unknown technical parameters.
Hardware and Software Architecture of The Machine
Earlier quoted context omitted.
~100 billions neurons in a human brain I guess. Not sure what 1.6KB per neuron is too close to
This comment currently has a reply ( http://i.imgur.com/N7BZJfu.png ) which shows why I wanted to leave my original post as a "riddle" rather than coming out and saying it. The following "crap" is not relevant to anything, only read it if you want the answer to why 1.6 KB is insufficient for a certain science fiction fantasy which will never, not in ten, a hundred, or a thousand years, become relevant any more than m…
EDIT: I think you're also not considering the ample opportunities to compress this data set. For instance, you can represent the connections between neurons with a sparse adjacency matrix, and there is a whole body of literature devoted to coming up with small representations of that kind of data, while still being able to perform operations efficiently. For the genome variance, keep in mind the variance is going to be absolutely tiny in comparison to the whole genome, so you can just store the genome of one of the neurons and then the diffs between it and all the other neurons or something.
I am not sure if I should be impressed until they reveal more details. 160 TB over 40 nodes is 4 TB per node, which assuming 512 GB dimms requires only 8 dimms (4 per socket) or with 256 GB dimms 16 dimms (8 per socket). How fast is the interconnect? 100Gb/s? So far it sounds like an common high memory HPC cluster unit with really unknown technical parameters.
And really anemic CPUs to boot...
This falls into a scale up type (vertical) architecture, in what scenarios would you need tin like this? Versus A more scale out/distributed (horizontal) architecture
It's a 40 node mesh. Isn't that scale-out?
What I am trying to understand in what use cases would this make sense?
How does the Machine recover from software errors? If it has only persistent RAM, then when some important program goes bonkers (it always goes), there is no luxury of pressing the reset button to get back to a pristine state.
I am not sure if I should be impressed until they reveal more details. 160 TB over 40 nodes is 4 TB per node, which assuming 512 GB dimms requires only 8 dimms (4 per socket) or with 256 GB dimms 16 dimms (8 per socket). How fast is the interconnect? 100Gb/s? So far it sounds like an common high memory HPC cluster unit with really unknown technical parameters.
Where can you get 512 GB dimms?