From 0f99042bc69ac59f2ff1a1bbd63f8b2f3c20f2d2 Mon Sep 17 00:00:00 2001 From: Svjatoslav Agejenko Date: Wed, 18 Mar 2026 23:28:48 +0200 Subject: [PATCH] chore: remove generated HTML from git tracking --- doc/index.html | 481 ------------------------------------------------- 1 file changed, 481 deletions(-) delete mode 100644 doc/index.html diff --git a/doc/index.html b/doc/index.html deleted file mode 100644 index 584f5d0..0000000 --- a/doc/index.html +++ /dev/null @@ -1,481 +0,0 @@ - - - - - - - -Sixth Data - Data storage and computing engine - - - - - - - - - - -
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Sixth Data - Data storage and computing engine

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1. General

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1.1. Source code

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2. Vision / goal

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-Provide hackable, versioned, optimized, distributed, geometrical, -arbitrary dimensional (hypercube based) data storage and computation -engine (as inspired by the brain) for general purpose visual computing -environment called Sixth. -

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-Because Lisp is hackable self defined programmable programming -language it would be used to provide imperative programming support. -

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3. Inspiration

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3.1. Brain

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3.2. CM-1 Connection Machine

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-https://en.wikipedia.org/wiki/Connection_Machine -

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-Massively parallel (thousands of CPUs) connected via -machine's internal 12-dimensional hypercube network allows to -efficiently simulate arbitrary dimensional hypercube and 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 -

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-we can pre-distribute data across computation units and perform -parallel geometrical computation. -

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4. Reasons for hypercube as a so called first class citizen

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  • Hypercube is quite general purpose data structure that naturally -encapsulates wide variety data and problems.
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  • Nicely captures apparent properties of the brain.
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  • Naturally supports distributed and parallel geometrical data storage -and computation.
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  • Dedicated hardware like CM-1 can be built around hypercube concept -that results in data, computation process and hardware, all -beautifully fitting together while complementing each other -strengths.
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  • Hypercube stored data (and computation process) has geometry by its -nature and should fit nicely with "3D first" user interface ideology -of the parent Sixth project.
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5. Geometrical computation idea

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5.1. Distributed computation and data storage

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-Lots of problems can be translated to geometry (use any shapes and as -many dimensions as you need). Solution(s) to such problems could be -then found via geometrical search/comparison/lookup results. As a -bonus, such geometrical data storage AND computation can be -naturally made in parallel and distributed. -

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-Learning means building/updating/re-balancing the model (the hard -part). Question answering is making (relatively simple) lookups -(geometrical queries) against the model. -

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5.2. Mapping hypercube to object-oriented model and relational database

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-Object oriented programming is inspired by the way human mind -operates. It allows programmer to express ideas to computer in a more -human-like terms. -

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-It is actually also possible to map object model and relational -database to geometrical hyperspace: -

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  • Object or database table row is a point in hypercube arbitrary -dimensional space. Each object member variable or database table -column can be mapped to its own dimension in hypercube. That is: if -class declares 4 variables for an object, then corresponding object -can be stored as a single point inside 4 dimensional -hypercube. Variable values translate to point coordinates in that -hypercube. That is: numbers and string can be translated to linear -value that can be used as a coordinate along particular dimension.
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  • Each object class or database table declares its own hypercube that -contain instances (objects) of that class or rows of a table.
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5.3. Mapping entity relations in hypercube

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-Consider we want to create database of: -

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  • Books.
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  • Effort: Amount of time contributed by every author to every book -that he/she wrote.
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-Information above can be represented as 3D cube where dimensions are: -

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  • X: Book
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  • Y: Author
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  • Z: Effort
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-Points in that cube would nicely capture many to many relations -between authors and the books. -

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6. Current status

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  • More or less defined Vision / goal.
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  • Collected some inspiring ideas.
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  • Implemented very simple persistent key-value map. -
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    • Long term goal is to use it as a backing storage engine and -implement more advanced features on top of this via layered -architecture.
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Author: Svjatoslav Agejenko

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Created: 2022-10-30 Sun 12:09

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Validate

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