Virtually every processor you see is based on the same basic (Von Neumann) computing model: they're designed to access large chunks of sequential data and fill their caches as often as possible. This isn't the quickest way to accomplish every task, however, and the American military wants to explore an entirely different kind of chip. DARPA is spending $80 million to fund the development of the world's first graph analytic processor. The HIVE (Hierarchical Identify Verify Exploit) accesses random, 8-byte data points from the system's global memory, crunching each of those points individually. That's a much faster approach for handling large data, which frequently involves many relationships between info sets. It's also extremely scalable, so you can use as many HIVE chips as you need to accomplish your goals.
The agency isn't alone in its work: Intel, Qualcomm and Northrop Grumman are involved, as are researchers at Georgia Tech and Pacific Northwest National Laboratory.
Source: Engadget
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(Score: 4, Informative) by Anonymous Coward on Tuesday June 13 2017, @03:36AM (3 children)
Instead of one big autobahn where everyone queues up and then drives very fast in the same direction, you pave the entire area and everyone drives directly from one point to another. Individual trips are slower because you have to stop at yield and stops signs to avoid collisions, but overall everyone gets where they are going much quicker because you avoid the traffic jams at the autobahn on and off ramps.
Also it scales better because you can just keep paving more area.
(Score: 1) by anubi on Tuesday June 13 2017, @05:27AM
Kinda like unregulated airspace?
"Prove all things; hold fast that which is good." [KJV: I Thessalonians 5:21]
(Score: 2) by inertnet on Tuesday June 13 2017, @08:51AM
I guess this approach would consume much less power as well.
(Score: 0) by Anonymous Coward on Friday June 16 2017, @01:24PM
+4 nformative!!! Damn, I was going for funny.