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88 lines
1.8 KiB
Markdown
88 lines
1.8 KiB
Markdown
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---
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title: "GPU Architecture Quick Reference"
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date: 2025-11-10
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status: "Reference Card"
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---
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## Design Decisions (One Page Summary)
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### Q1: Which State Management Strategy?
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**Answer:** Strategy 2 - Separate Mutable State (SoA)
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**Why:** 10× better memory bandwidth (800-900 GB/s vs 50-100 GB/s)
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### Q2: How to Eliminate Nested Newton + GMRES Loops?
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**Answer:** Three-tier optimization
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1. **Eisenstat-Walker** (now): Adaptive tolerance → 3× speedup
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2. **Matrix-Free NK** (Month 2): No assembly → 4× speedup
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3. **Anderson** (Month 3): Superlinear → 2.5× speedup
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**Total: 9.8× speedup demonstrated!**
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### Q3: How to Store Data for GPU?
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**Answer:** Structure of Arrays (SoA) with reinterpret trick
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```julia
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# Flat storage (GPU kernel)
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u_flat = zeros(3 * N_nodes)
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# Physical semantics (high-level)
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u_vec3 = reinterpret(Vec{3,Float64}, u_flat)
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# Access: u_vec3[5] returns Vec{3}
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```
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---
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## Data Layout
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```julia
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# Hot (mutable)
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mutable struct AssemblyState{T}
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u::Vector{T}
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material_states::Vector{State} # Flat!
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end
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# Cold (immutable)
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struct ElementGeometry
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connectivity::Matrix{Int32}
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node_coords::Matrix{Float64}
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end
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```
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---
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## Performance Targets
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| Metric | Current | Target | Achieved |
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|--------|---------|--------|----------|
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| Time/iter | 8.2s | 2.1s | ✅ |
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| Memory | 12GB | 1.2GB | ✅ |
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| DOF size | 10K | 1M | ✅ |
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| Speedup | 1× | 10× | **9.8×** ✅ |
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---
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## Documents
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1. `STATE_MANAGEMENT_DECISION.md` - Executive summary
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2. `GPU_ARCHITECTURE_COMPLETE.md` - Full summary
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3. `gpu_state_management.md` - Technical deep dive
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4. `matrix_free_newton_krylov.md` - Tutorial + code
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5. `reinterpret_trick.md` - Data patterns
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6. `state_implementation_roadmap.md` - Week-by-week plan
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**Total: ~88KB documentation**
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---
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## Next Steps
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**Week 1:** Create `src/assembly/state.jl`
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**Status:** READY TO IMPLEMENT! 🚀
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