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Interesting theory. =================================== ============================================================ FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com |
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The basic idea is a good take on a relatively common strategy. Rather than doubling the power of a single service, double up on multiple services. Examples: Multi-Processing .. add a couple of more CPUs and a lot gets faster. Browser: have WebWorkers, local storage, and Co-processors: CPUs & GPUs (webgl). DSL & TCP/IP "bonding" for multiple data streams. Fragmented file systems like torrents with multiple sources of the same data. This sounds like a winner. -- Owen ============================================================ FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com |
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The last author on the article, Dina Katabi (http://people.csail.mit.edu/dina/), is a Syrian, a MacArthur Fellow (2013), and "the Andrew & Erna Viterbi Professor of Electrical Engineering and Computer Science at MIT, [...] the leader of NETMIT research group at CSAIL[, and] a Director of the MIT Center for Wireless Networks and Mobile Computing". MegaMIMO itself is even crazier than it sounds. The multiple transmitters adjust the phase of their transmitted signals so they combine constructively at the intended receiver. That's called a phased array and they've been around for a while. Any WIFI access point with dual antennas is phasing the signal to its antennas. MegaMIMO does the same thing, but with distributed access points by estimating the phase error between transmitter oscillators on the fly. -- rec -- On Tue, Aug 30, 2016 at 7:58 PM, Owen Densmore <[hidden email]> wrote:
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