Tuesday, August 6, 2013
Simulating 1 second of real brain activity takes 40 minutes and 83K processors
From GigaOm:

Researchers have simulated 1 second of real brain activity, on a network equivalent to 1 percent of an actual brain’s neural network, using the world’s fourth-fastest supercomputer. The results aren’t revolutionary just yet, but they do hint at what will be possible as computing power increases.
A team of Japanese and German researchers have carried out the largest-ever simulation of neural activity in the human brain, and the numbers are both amazing and humbling.
The hardware necessary to simulate the activity of 1.73 billion nerve cells connected by 10.4 trillion synapses (just 1 percent of a brain’s total neural network) for 1 biological second: 82,944 processors on the K supercomputer and 1 petabyte of memory (24 bytes per synapse). That 1 second of biological time took 40 minutes, on one of the world’s most-powerful systems, to compute.

[read more] [via nerdcore] [picture CC BY-SA 2.0 Saad Faruque]

Simulating 1 second of real brain activity takes 40 minutes and 83K processors

From GigaOm:

Researchers have simulated 1 second of real brain activity, on a network equivalent to 1 percent of an actual brain’s neural network, using the world’s fourth-fastest supercomputer. The results aren’t revolutionary just yet, but they do hint at what will be possible as computing power increases.

A team of Japanese and German researchers have carried out the largest-ever simulation of neural activity in the human brain, and the numbers are both amazing and humbling.

The hardware necessary to simulate the activity of 1.73 billion nerve cells connected by 10.4 trillion synapses (just 1 percent of a brain’s total neural network) for 1 biological second: 82,944 processors on the K supercomputer and 1 petabyte of memory (24 bytes per synapse). That 1 second of biological time took 40 minutes, on one of the world’s most-powerful systems, to compute.

[read more] [via nerdcore] [picture CC BY-SA 2.0 Saad Faruque]

Notes

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