# Tiny TPU

## Docs

- [Control unit](https://mintlify.wiki/tiny-tpu-v2/tiny-tpu/architecture/control-unit.md): Instruction decoder and system controller
- [Architecture overview](https://mintlify.wiki/tiny-tpu-v2/tiny-tpu/architecture/overview.md): High-level overview of the Tiny TPU hardware architecture
- [Processing element](https://mintlify.wiki/tiny-tpu-v2/tiny-tpu/architecture/processing-element.md): Detailed architecture of the PE multiply-accumulate unit
- [Systolic array](https://mintlify.wiki/tiny-tpu-v2/tiny-tpu/architecture/systolic-array.md): Architecture of the 2D processing element grid
- [Unified buffer](https://mintlify.wiki/tiny-tpu-v2/tiny-tpu/architecture/unified-buffer.md): Memory architecture for storing matrices and intermediate values
- [Vector processing unit](https://mintlify.wiki/tiny-tpu-v2/tiny-tpu/architecture/vector-processing-unit.md): VPU pipeline architecture for element-wise operations
- [How to add new modules](https://mintlify.wiki/tiny-tpu-v2/tiny-tpu/development/adding-modules.md): Step-by-step guide to adding new hardware modules to Tiny TPU
- [Development environment setup](https://mintlify.wiki/tiny-tpu-v2/tiny-tpu/development/setup.md): Set up your development environment for Tiny TPU on MacOS or Ubuntu/Linux
- [Testing framework and running tests](https://mintlify.wiki/tiny-tpu-v2/tiny-tpu/development/testing.md): Learn how to write and run tests for Tiny TPU using cocotb and iverilog
- [Working with GTKwave and waveforms](https://mintlify.wiki/tiny-tpu-v2/tiny-tpu/development/waveforms.md): View, analyze, and configure waveforms for debugging Tiny TPU modules
- [Control signal reference](https://mintlify.wiki/tiny-tpu-v2/tiny-tpu/instruction-set/control-signals.md): Complete documentation of all control signals in the Tiny TPU instruction format
- [VPU data pathway configurations](https://mintlify.wiki/tiny-tpu-v2/tiny-tpu/instruction-set/data-pathways.md): Understanding Vector Processing Unit pipeline routing and module activation patterns
- [Instruction sequence examples](https://mintlify.wiki/tiny-tpu-v2/tiny-tpu/instruction-set/examples.md): Real-world instruction sequences for training neural networks on the Tiny TPU
- [Instruction set overview](https://mintlify.wiki/tiny-tpu-v2/tiny-tpu/instruction-set/overview.md): Understanding the Tiny TPU 88-bit instruction format and architecture
- [Introduction to Tiny TPU](https://mintlify.wiki/tiny-tpu-v2/tiny-tpu/introduction.md): A minimal tensor processing unit written in SystemVerilog, reinvented from Google's TPU architecture
- [Bias module](https://mintlify.wiki/tiny-tpu-v2/tiny-tpu/modules/bias.md): Add bias values to systolic array outputs in the VPU pipeline
- [Control unit](https://mintlify.wiki/tiny-tpu-v2/tiny-tpu/modules/control-unit.md): Instruction decoder that unpacks control signals for the TPU
- [Gradient descent module](https://mintlify.wiki/tiny-tpu-v2/tiny-tpu/modules/gradient-descent.md): Update weights and biases using gradient descent optimization
- [Leaky ReLU module](https://mintlify.wiki/tiny-tpu-v2/tiny-tpu/modules/leaky-relu.md): Apply leaky ReLU activation function in the VPU forward pass
- [Leaky ReLU derivative module](https://mintlify.wiki/tiny-tpu-v2/tiny-tpu/modules/leaky-relu-derivative.md): Compute leaky ReLU activation derivatives for backpropagation
- [Loss module](https://mintlify.wiki/tiny-tpu-v2/tiny-tpu/modules/loss.md): Compute MSE loss gradient for backpropagation in the VPU
- [PE](https://mintlify.wiki/tiny-tpu-v2/tiny-tpu/modules/pe.md): Processing Element - the fundamental multiply-accumulate unit in the systolic array
- [Systolic array](https://mintlify.wiki/tiny-tpu-v2/tiny-tpu/modules/systolic.md): 2×2 systolic array for matrix multiplication using processing elements
- [TPU](https://mintlify.wiki/tiny-tpu-v2/tiny-tpu/modules/tpu.md): Top-level Tensor Processing Unit module that integrates all core components
- [Unified buffer](https://mintlify.wiki/tiny-tpu-v2/tiny-tpu/modules/unified-buffer.md): Central memory buffer for weights, activations, gradients, and intermediate values
- [VPU](https://mintlify.wiki/tiny-tpu-v2/tiny-tpu/modules/vpu.md): Vector Processing Unit for activation functions, loss computation, and derivatives
- [Quick start](https://mintlify.wiki/tiny-tpu-v2/tiny-tpu/quickstart.md): Get your first Tiny TPU simulation running in minutes