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RustyStack Next-Gen Demo Implementation - Resume Document

Created: 2026-01-12 Purpose: Resume point for implementing 20 next-generation demos

Current State

  • Existing Demos: 18/18 complete (100%)
  • New Demos Planned: 20
  • Status: Ready to begin implementation

Execution Order

Phase 1: MEDICAL (Demos 1-5)
Phase 2: FINANCE (Demos 6-9)
Phase 3: AI/ML CORE (Demos 10-13)
Phase 4: ENGINEERING (Demos 14-17)
Phase 5: TB5 CLUSTER (Demos 18-20)

Demo Checklist

Phase 1: MEDICAL

# Demo Crate Status
1 AlphaFold-Lite rtx-alphafold-demo [x] Complete (31 tests)
2 CellAtlas rtx-cellatlas-demo [x] Complete (42 tests)
3 DrugBinder rtx-drugbinder-demo [ ] Not Started
4 CardioSim rtx-cardiosim-demo [ ] Not Started
5 TumorBoard AI rtx-tumorboard-demo [ ] Not Started

Phase 2: FINANCE

# Demo Crate Status
6 QuantumPort rtx-quantumport-demo [ ] Not Started
7 MarketSim rtx-marketsim-demo [ ] Not Started
8 RiskFlow rtx-riskflow-demo [ ] Not Started
9 AlgoArena rtx-algoarena-demo [ ] Not Started

Phase 3: AI/ML CORE

# Demo Crate Status
10 NeuralOp Studio rtx-neuralop-demo [ ] Not Started
11 WorldGen rtx-worldgen-demo [ ] Not Started
12 EmbodiedSim rtx-embodied-demo [ ] Not Started
13 FoundationForge rtx-forge-demo [ ] Not Started

Phase 4: ENGINEERING

# Demo Crate Status
14 AeroFlow rtx-aeroflow-demo [ ] Not Started
15 WeatherCast rtx-weathercast-demo [ ] Not Started
16 SeismicAI rtx-seismic-demo [ ] Not Started
17 StructuralPINN rtx-structural-demo [ ] Not Started

Phase 5: TB5 CLUSTER

# Demo Crate Status
18 ClusterViz rtx-clusterviz-demo [ ] Not Started
19 DistributedLLM rtx-distllm-demo [ ] Not Started
20 FederatedMed rtx-fedmed-demo [ ] Not Started

File Structure Per Demo

demos/
├── rtx-{name}-demo/           # Backend crate
│   ├── Cargo.toml
│   └── src/
│       ├── lib.rs             # Core algorithms
│       ├── models.rs          # ML models
│       └── sample_data.rs     # Demo datasets
├── {name}-shared/             # IPC types
│   ├── Cargo.toml
│   └── src/lib.rs
└── ui/src-tauri/src/
    └── {name}_commands/       # Tauri commands
        ├── mod.rs
        └── commands.rs

Demo Specifications

Demo 1: AlphaFold-Lite

Purpose: Protein structure prediction from amino acid sequence

Core Components:

  • ProteinEncoder - Amino acid embeddings + positional encoding
  • PairwiseAttention - Residue-residue interactions
  • InvariantPointAttention - SE(3)-equivariant attention
  • StructureModule - 3D coordinate prediction
  • pLDDT - Confidence scoring

UI Features:

  • Sequence input with validation
  • 3D protein visualization (Three.js)
  • Confidence coloring
  • PDB export

Demo 2: CellAtlas

Purpose: Single-cell spatial transcriptomics foundation model

Core Components:

  • CellTransformer - Self-attention over ~20,000 genes
  • GraphNN - Spatial encoder for tissue context
  • CellTypeClassifier - Cell type prediction
  • NichePredictor - Spatial niche analysis

UI Features:

  • UMAP/t-SNE visualization
  • Cell type annotation
  • Spatial tissue map
  • Gene expression heatmap

Demo 3: DrugBinder

Purpose: Drug-target binding affinity prediction

Core Components:

  • MoleculeEncoder - Graph neural network for molecules
  • ProteinEncoder - Protein pocket encoding
  • CrossAttention - Protein-ligand interaction
  • MoleculeDiffusion - Generative molecule design

UI Features:

  • SMILES input / molecular editor
  • Protein pocket visualization
  • Binding pose prediction
  • Virtual screening table

Demo 4: CardioSim

Purpose: Cardiac electrophysiology simulation

Core Components:

  • CardiacPINO - Physics-informed neural operator
  • MonodomainLoss - PDE constraint (∂V/∂t = ∇·(D∇V) + Iion)
  • HeartMesh - 3D heart geometry with fiber orientation
  • IonicModel - Mitchell-Schaeffer or similar

UI Features:

  • 3D heart visualization
  • Real-time voltage propagation
  • Arrhythmia simulation
  • Pacing protocol editor

Demo 5: TumorBoard AI

Purpose: Multi-modal medical imaging analysis

Core Components:

  • CTAnalyzer - 3D CNN for CT
  • MRIAnalyzer - Multi-sequence MRI
  • PathologyAnalyzer - SlideScope integration
  • MultiModalFusion - Cross-modal attention
  • ReportLLM - Natural language generation

UI Features:

  • Multi-panel viewer
  • AI-generated report
  • Evidence highlighting
  • Case comparison

Demo 6: QuantumPort

Purpose: Higher-order portfolio optimization

Core Components:

  • QuantumPortfolio - Covariance, coskewness, cokurtosis tensors
  • HOPOptimizer - QAOA-inspired classical optimizer
  • PortfolioMetrics - Return, volatility, skewness, kurtosis, VaR, CVaR

UI Features:

  • 3D efficient frontier (with skewness axis)
  • Risk-return tradeoff slider
  • Portfolio composition chart
  • Mean-Variance vs Higher-Order comparison

Demo 7: MarketSim

Purpose: Financial world model for scenario generation

Core Components:

  • MarketWorldModel - State encoder + dynamics model
  • ScenarioGenerator - Diffusion-based generation
  • ScenarioConditioner - Text conditioning ("2008 crisis")
  • BacktestEngine - Strategy evaluation

UI Features:

  • Scenario description input
  • Multi-path price visualization
  • Portfolio stress testing
  • Historical comparison

Demo 8: RiskFlow

Purpose: Real-time risk attribution

Core Components:

  • NeuralRiskModel - Factor-based risk prediction
  • GradientAttribution - Explainability
  • RiskFactors - Market, size, value, momentum, volatility
  • RiskStream - Real-time updates

UI Features:

  • Real-time dashboard
  • Factor waterfall chart
  • VaR/CVaR gauges
  • Position drill-down

Demo 9: AlgoArena

Purpose: Multi-agent trading simulation

Core Components:

  • TradingArena - Market simulator + order book
  • TradingAgent trait - Strategy interface
  • Built-in agents: Momentum, MeanReversion, RL, LLM
  • ArenaMetrics - Performance tracking

UI Features:

  • Tournament bracket
  • Real-time P&L chart
  • Order flow visualization
  • Strategy leaderboard

Demo 10: NeuralOp Studio

Purpose: Neural operator workbench for PDEs

Core Components:

  • FourierNeuralOperator - Spectral convolution layers
  • DeepONet - Branch + trunk networks
  • SINO - Spectral-inspired operator
  • PDEDefinition - Equation, domain, BCs, IC

UI Features:

  • LaTeX equation editor
  • Domain geometry editor
  • Training progress
  • Solution comparison

Demo 11: WorldGen

Purpose: Video diffusion world simulator

Core Components:

  • VideoDiT - Diffusion transformer for video
  • Patchify3D / Unpatchify3D - Spatiotemporal patches
  • PhysicsConditioner - Physics constraint loss
  • TemporalAttention - Spatial + temporal + cross attention

UI Features:

  • Text prompt input
  • Physics constraint toggles
  • Video preview player
  • Frame-by-frame inspection

Demo 12: EmbodiedSim

Purpose: Robotics world model for sim-to-real

Core Components:

  • RSSM - Recurrent state space model (DreamerV3-style)
  • JEPA - Joint embedding predictive architecture
  • ActorCritic - Policy and value networks
  • ObservationEncoder/Decoder - Visual encoding

UI Features:

  • Simulation viewer
  • Imagined trajectory rollout
  • Latent space visualization
  • Reward prediction graph

Demo 13: FoundationForge

Purpose: Model compression and distillation

Core Components:

  • Quantizer - PTQ, QAT, GPTQ (4/8/16-bit)
  • Pruner - Magnitude/movement pruning
  • Distiller - Knowledge distillation (KL, MSE, attention)

UI Features:

  • Architecture visualizer
  • Compression ratio slider
  • Accuracy vs size chart
  • Export to ONNX/CoreML/TFLite

Demo 14: AeroFlow

Purpose: Aircraft CFD with neural operators

Core Components:

  • AeroflowOperator - Geometry encoder + FNO
  • NavierStokesLoss - Physics constraint
  • FlowField - Pressure + velocity fields
  • AeroCoefficients - Cd, Cl, Cm

UI Features:

  • Airfoil geometry editor
  • Flow field visualization
  • Real-time Cd/Cl display
  • Shape optimization

Demo 15: WeatherCast

Purpose: Regional weather prediction

Core Components:

  • WeatherTransformer - GraphCast-style architecture
  • IcosahedralMeshEncoder - Spherical mesh encoding
  • AtmosphericState - T, Z, q, u, v at pressure levels

UI Features:

  • Interactive globe/map
  • Variable selector
  • Time slider for forecast
  • Uncertainty bands

Demo 16: SeismicAI

Purpose: Earthquake simulation and early warning

Core Components:

  • SeismicOperator - Wave equation FNO
  • EarthquakeSource - Location, depth, magnitude, mechanism
  • GroundMotion - PGA, PGV, arrival times

UI Features:

  • Map with fault lines
  • Source parameter controls
  • Ground motion visualization
  • Arrival time isochrones

Demo 17: StructuralPINN

Purpose: Structural mechanics solver

Core Components:

  • StructuralPINN - Geometry MLP + stress network
  • ElasticityLoss - Navier-Cauchy equations
  • Material - E, ν, ρ
  • StressField - σxx, σyy, σzz, σxy, von Mises

UI Features:

  • Geometry editor (2D/3D)
  • Load/constraint application
  • Stress/strain visualization
  • Safety factor display

Demo 18: ClusterViz

Purpose: TB5 cluster monitoring and visualization

Core Components:

  • ClusterTopology - RNCCL topology discovery
  • ClusterMetrics - GPU util, memory, bandwidth
  • CollectiveTrace - Operation tracing

UI Features:

  • 3D topology view
  • Real-time bandwidth heatmap
  • Collective operation animation
  • Bottleneck alerts

Demo 19: DistributedLLM

Purpose: Trillion-parameter inference on Mac cluster

Core Components:

  • TensorParallelLLM - Column/row parallelism
  • PipelineParallelLLM - Stage-based parallelism
  • FlashAttention - Memory-efficient attention
  • RncclComm - RNCCL communicator

UI Features:

  • Chat interface
  • Layer distribution visualization
  • Token generation speed
  • Memory usage per node

Demo 20: FederatedMed

Purpose: Privacy-preserving medical AI training

Core Components:

  • FederatedCoordinator - Global model + FedAvg
  • FederatedClient - Local training
  • DifferentialPrivacy - ε, δ, clip norm, noise

UI Features:

  • Node status dashboard
  • Global accuracy curve
  • Privacy budget tracker
  • Communication rounds visualization

Research References

Medical AI

Finance

Neural Operators

World Models

Weather/Climate

Thunderbolt Clustering

RNCCL Capabilities (Verified from Codebase)

Transports:

  • METAL_DIRECT: 400 GB/s (zero-copy same-process)
  • METAL_UMA: 200 GB/s (Apple Silicon unified memory)
  • METAL_SHM: 50 GB/s (cross-process shared memory)
  • METAL_THUNDERBOLT: 5 GB/s (multi-node via TB4/TB5)

Collectives:

  • AllReduce, AllGather, ReduceScatter
  • Broadcast, Reduce, AllToAll
  • Scatter, Gather, Send/Recv

Algorithms:

  • Ring, Tree, Recursive Halving-Doubling
  • NVLS, PAT, CollNet

Resume Instructions

  1. Read this document to understand current state
  2. Check the checklist above for which demos are complete
  3. Continue with the next uncompleted demo
  4. For each demo:
    • Create backend crate (rtx-{name}-demo)
    • Create shared types crate ({name}-shared)
    • Create Tauri commands
    • Add UI components
    • Run tests
    • Update checklist in this document

Commands

# Build all demos
cd /home/osobh/data/rustystack/rustytorch
cargo check --workspace

# Run tests
cargo test --workspace

# Run UI
cd demos/ui
pnpm tauri dev

# Commit changes
git add . && git commit -m "feat: add {demo-name} demo"
git push origin main

Notes

  • Full plan details in: /home/osobh/.claude/plans/imperative-sauteeing-nebula.md
  • Gitea remote: https://gitea.smartpi.ai/rustystack/rustytorch.git
  • Each demo follows the existing pattern from the 18 completed demos
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