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posted by n1 on Tuesday June 13 2017, @01:18AM   Printer-friendly
from the red-queen dept.

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: 2) by FatPhil on Wednesday June 14 2017, @01:12PM

    by FatPhil (863) <pc-soylentNO@SPAMasdf.fi> on Wednesday June 14 2017, @01:12PM (#525403) Homepage
    That's not a cache. I was working on multi-core DSPs where each core had their own local memory that they had immediate access to, which could be block-filled and block-flushed quickly, long before caches were common on desktop machines. But that's not a cache. It's way cheaper than a cache, not needing to predict access or handle unpredictable access patterns, it's designed for stream/block processing. I don't think that these two memory access philosophies should be conflated with each other.
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