# 🌀 SYLVICA: Breaking the Memory Wall in AI
**A Zero-Memory-Wall, Pure C++ CUDA alternative to standard Matrix Multiplication (GEMM) using 19th-Century Sylvester Topology.**

## 🚀 The Mathematical Solution
Modern AI is bottlenecked by the **Memory Wall**. 
**SYLVICA** abandons the grid. It remaps 2D/3D tensors into **100% dense, 1D Sylvester Diagonals**.

## ⚡ Quick Start
```python
import torch
import sylvica

# Drop-in replacement for nn.Linear!
layer = sylvica.SylvesterLinear(768, 1024, dtype=torch.float16).cuda()
inputs = torch.randn(32, 768, dtype=torch.float16, device='cuda')
outputs = layer(inputs)

# Autograd fully supported!
outputs.sum().backward()
