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TECH-01ARCHITECTURE // STACK & STANDARDS

Systems & Architecture

A unified architecture bridging compiled WebAssembly kernels, browser-native SQLite, hardware bus protocols, and reactive spatial UI.

THE ARCHITECTURE

From Mathematics to Empirical Understanding

SREDSOL builds a vertical stack connecting foundational mathematics, hardware telemetry, and cognitive exploration.

01 // MATHEMATICSComputation // 01
BRIDGE //Symbolic Equations → Linear Systems

Continuous & Discrete Mathematics

Mathematical formalisms, dynamical systems, linear transformations, and topological equations that establish foundational computational truth.

  • Linear Algebra
  • Differential Geometry
  • Graph Theory
02 // COMPUTATIONComputation // 01
BRIDGE //Compiled WASM → Vector Memory

High-Performance Execution Kernels

Compiling mathematical models into WebAssembly, Rust SIMD vectorizers, and parallel pipelines for sub-millisecond real-time execution.

  • WebAssembly
  • Rust
  • SIMD
  • State Machines
03 // REACTIVE INTERFACESLearning // 04
BRIDGE //Shader Framebuffer → DOM Scope

Spatial & Direct Manipulation Instruments

Real-time canvas renderers, waveform scopes, and visual grammars that turn abstract mathematical equations into touchable, explorable models.

  • WebGL / WebGPU
  • Canvas API
  • Reactive Signals
04 // PHYSICAL SYSTEMSPhysical // 02
BRIDGE //UART / Packet Frame → Serial Bus

Hardware Telemetry & Sensor Bridges

Bridging digital simulation to physical reality via embedded microcontrollers, I2C/SPI bus protocols, and hardware peripheral actuators.

  • I2C / SPI
  • WebSerial
  • MicroPython
  • Embedded C++
05 // OBSERVATIONObservation // 03
BRIDGE //Raw Spectral Feed → Time-Series Grid

Empirical Telemetry & Multi-Spectral Streams

Ingesting live sensor feeds, environmental telemetry, and experimental measurements to measure physical reality against theoretical models.

  • Time-Series
  • GIS / OxiGeo
  • Spectral FFT
06 // SYNTHESISComputation // 01
BRIDGE //Empirical Measurement → Model Calibration

Parameter Estimation & Feedback Modeling

Closing the loop between mathematical hypothesis and real-world observation through continuous calibration, Kalman filtering, and error reduction.

  • Parameter Estimation
  • Kalman Filters
  • Feedback Loops
07 // LEARNINGOSLearning // 04
BRIDGE //Interactive Artifact → Mental Model

Cognitive Synthesis & LearningOS

Unifying computation, observation, and direct manipulation into persistent mental models within LearningOS — our explorable cognitive workspace.

  • LearningOS
  • Local SQLite
  • Explorable Explanations

KERNEL SPECIFICATIONS

Computational Engines & Runtimes

Built on open, portable foundations with zero proprietary lock-in.

[WASM]OPERATIONAL

WebAssembly Execution Kernels

High-performance mathematical models and numerical algorithms compiled to WASM for sub-millisecond deterministic calculation.

WASM-01
Execution Throughput
60FPS
[SQLITE]OPERATIONAL

Embedded Client SQLite

Offline-first persistent state storage via in-browser SQLite with local indexing and zero server latency for LearningOS.

SQL-02
Local IO Latency
0.8ms
[I2C / SPI]LIVE STREAM

Hardware Telemetry Bus

Bidirectional streaming bridges connecting virtual software instrumentation directly to microcontrollers and sensor arrays.

BUS-03
Bus Clock Rate
400kHz
[LAB]LIVE STREAM// LIVE RESEARCH

There is always another system to build.

Step inside our active research sandboxes, test experimental algorithms, and explore computational prototypes.

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