X-Git-Url: http://www2.svjatoslav.eu/gitweb/?p=sixth-data.git;a=blobdiff_plain;f=doc%2Findex.org;h=b81105ad7a72520dd814e981d0bd9b2cfd919d0d;hp=5030305bab7bd4bc2629723bab4ff7cd95aa0299;hb=f800d99ad16c9dc5b52712d6bd87273be309a787;hpb=0e4ab945701fc17d6d37fe09800adaa9037b07dd

diff --git a/doc/index.org b/doc/index.org
index 5030305..b81105a 100644
--- a/doc/index.org
+++ b/doc/index.org
@@ -33,6 +33,8 @@
 - Clone Git repository using command:
   : git clone https://www2.svjatoslav.eu/git/sixth-data.git
 
+- See [[https://www3.svjatoslav.eu/projects/sixth-data/apidocs/][JavaDoc]].
+
 * Vision / goal
   :PROPERTIES:
   :ID:       f6764282-a6f6-44e6-8716-b428074dd093
@@ -76,15 +78,40 @@ data storage engine for the [[http://www2.svjatoslav.eu/gitbrowse/sixth/doc/inde
   https://singularityhub.com/2017/06/21/is-there-a-multidimensional-mathematical-world-hidden-in-the-brains-computation/
 
 + Brain appears to use geometry to map thoughts and even sounds:
-  https://www.quantamagazine.org/the-brain-maps-out-ideas-and-memories-like-spaces-20190114/
+  + 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 [[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. See:
+  http://www.mission-base.com/tamiko/theory/cm_txts/di-ch2.html
 
-+ 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]]
 * 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:
@@ -96,7 +123,7 @@ 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.
-** Mapping of hyperspace to traditional object-oriented model
+*** Mapping of hyperspace to traditional object-oriented model
    :PROPERTIES:
    :ID:       a117c11e-97c1-4822-88b2-9fc10f96caec
    :END:
@@ -118,7 +145,7 @@ 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.
-** Handling of relations
+*** Handling of relations
    :PROPERTIES:
    :ID:       b6b15bd2-c78b-4c51-a343-72843a515c29
    :END:
@@ -173,6 +200,12 @@ Alternatively:
 * See also
 Interesting or competing projects with good ideas:
 
++ [[id:01aa65c1-3d44-44a8-9b90-58454bc6be80][CM-1 Connection Machine]]
+
++ Taichi: A Language for High-Performance Computation onSpatially
+  Sparse Data Structures
+  + http://taichi.graphics/wp-content/uploads/2019/09/taichi_lang.pdf
+
 + GRAKN.AI
   + database in the form of a knowledge graph that uses machine
     reasoning to simplify data processing challenges for AI