Added reference to CM-1

[sixth-data.git] / doc / index.org

diff --git a/doc/index.org b/doc/index.org
index 35c6bf9..a33d509 100644 (file)
--- a/doc/index.org
+++ b/doc/index.org
@@ -81,12 +81,36 @@ data storage engine for the [[http://www2.svjatoslav.eu/gitbrowse/sixth/doc/inde
   + https://www.quantamagazine.org/the-brain-maps-out-ideas-and-memories-like-spaces-20190114/
   + https://www.quantamagazine.org/goals-and-rewards-redraw-the-brains-map-of-the-world-20190328
 
   + https://www.quantamagazine.org/the-brain-maps-out-ideas-and-memories-like-spaces-20190114/
   + https://www.quantamagazine.org/goals-and-rewards-redraw-the-brains-map-of-the-world-20190328
 

-+ It directly inspires following ideas
-  + [[id:5d287158-53ea-44a2-a754-dd862366066a][Distributed comutation and data storage]]
-  + [[id:a117c11e-97c1-4822-88b2-9fc10f96caec][Mapping of hyperspace to traditional object-oriented model]]
-  + [[id:b6b15bd2-c78b-4c51-a343-72843a515c29][Handling of relations]]
++ It directly inspires [[id:171fe375-c737-41e6-b429-a414f6abc5d8][Geometrical computation]] idea and nicely fits
+  with [[id:01aa65c1-3d44-44a8-9b90-58454bc6be80][CM-1 Connection Machine]] design.
+
+** CM-1 Connection Machine
+:PROPERTIES:
+:ID:       01aa65c1-3d44-44a8-9b90-58454bc6be80
+:END:
+https://en.wikipedia.org/wiki/Connection_Machine
+
++ see: [[id:171fe375-c737-41e6-b429-a414f6abc5d8][Geometrical computation]]
+
++ Computation unit has local CPU and RAM.
+
++ Data is pre-distributed across computation units.
+
++ Machine's internal 12-dimensional hypercube network allows to
+  efficiently simulate arbitrary dimensional network topology between
+  computational units. So that when we are solving/simulating for
+  example 5 dimensional problem, we can arrange computational units
+  into virtual 5D network.
+

 * Ideas
 * Ideas

-** Distributed computation and data storage
+** Geometrical computation
+:PROPERTIES:
+:ID:       171fe375-c737-41e6-b429-a414f6abc5d8
+:END:
++ Inspired by [[id:d2375acc-af14-4f18-8ad0-7949501178c5][Brain]].
++ Wits nicely with [[id:01aa65c1-3d44-44a8-9b90-58454bc6be80][CM-1 Connection Machine]] properties.
+
+*** Distributed computation and data storage

    :PROPERTIES:
    :ID:       5d287158-53ea-44a2-a754-dd862366066a
    :END:
    :PROPERTIES:
    :ID:       5d287158-53ea-44a2-a754-dd862366066a
    :END:


@@ -98,7 +122,7 @@ naturally made in *parallel* and *distributed*. That's what neurons in
 the brain appear to be doing ! :) . Learning means building/updating
 the model (the hard part). Question answering is making (relatively
 simple) lookups (geometrical queries) against the model.
 the brain appear to be doing ! :) . Learning means building/updating
 the model (the hard part). Question answering is making (relatively
 simple) lookups (geometrical queries) against the model.

-** Mapping of hyperspace to traditional object-oriented model
+*** Mapping of hyperspace to traditional object-oriented model

    :PROPERTIES:
    :ID:       a117c11e-97c1-4822-88b2-9fc10f96caec
    :END:
    :PROPERTIES:
    :ID:       a117c11e-97c1-4822-88b2-9fc10f96caec
    :END:


@@ -120,7 +144,7 @@ It is possible to map object model to geometrical hyperspace:
   (objects) are points inside that particular universe. References
   between objects of different types are hyperlinks (portals) between
   different universes.
   (objects) are points inside that particular universe. References
   between objects of different types are hyperlinks (portals) between
   different universes.

-** Handling of relations
+*** Handling of relations

    :PROPERTIES:
    :ID:       b6b15bd2-c78b-4c51-a343-72843a515c29
    :END:
    :PROPERTIES:
    :ID:       b6b15bd2-c78b-4c51-a343-72843a515c29
    :END:


@@ -175,6 +199,8 @@ Alternatively:
 * See also
 Interesting or competing projects with good ideas:
 
 * See also
 Interesting or competing projects with good ideas:
 

++ [[id:01aa65c1-3d44-44a8-9b90-58454bc6be80][CM-1 Connection Machine]]
+

 + GRAKN.AI
   + database in the form of a knowledge graph that uses machine
     reasoning to simplify data processing challenges for AI
 + GRAKN.AI
   + database in the form of a knowledge graph that uses machine
     reasoning to simplify data processing challenges for AI