System Architecture
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Layered Architecture from Python API to GPU Hardware
Architecture Stack
Python API Layer
PyTorch-like interface for building and training neural networks
Pybind11 Bindings
C++ to Python bindings for seamless integration
Tensor Core
Memory management and tensor operations
CUDA Kernels
GPU-accelerated operations
GPU Hardware
NVIDIA GPU with CUDA cores
Select a Layer
Click on any layer in the architecture diagram to see detailed information about its components and functionality.
Data Flow
Forward Pass
Python → Pybind11 → Tensor → CUDA → GPU
Backward Pass
GPU → CUDA → Tensor → Autograd → Python
Memory Management
Reference counting for automatic cleanup
Performance
GPU Speedup5X
MNIST Accuracy97.48%
CUDA Operations
Matrix Multiply
op_mm.cuh
GEMM operation with optimized memory access
Element-wise
op_elemwise.cuh
Add, multiply, ReLU operations
Reduction
op_reduction.cuh
Sum, mean, argmax operations
Cross-Entropy
op_cross_entropy.cuh
Softmax + log loss fusion