adam-maj/tiny-gpu
Tiny Gpu
Tiny-gpu is an educational hardware emulator designed to model the fundamental operations of a graphics processing unit. It provides a software environment that simulates hardware data flow and parallel computing logic, allowing users to visualize the internal execution cycles and memory structures characteristic of graphics hardware.
The project distinguishes itself by implementing a cycle-accurate execution model that tracks the progression of operations through discrete processing steps. It utilizes a fixed-function pipeline to process geometric data through sequential transformation and rasterization stages, while employing instruction-level parallelism to execute graphics instructions across multiple data elements simultaneously.
This framework supports the study of graphics pipeline development and parallel computing by mapping scalar inputs into vector data streams. It maintains internal register-based state management to track data evolution during shader program execution, providing a platform for exploring high-performance computing concepts through the simulation of hardware pipelines.
Features
- Virtual Hardware Simulators - Simulates graphics processing unit operations in software to demonstrate fundamental hardware data flow.
- Hardware Emulators - Acts as an educational hardware emulator for visualizing internal execution cycles and memory structures of graphics units.
- GPU Architecture Simulators - Models graphics processing unit operations to demonstrate parallel computing logic and hardware data flow.
- Parallel Computing Educational Tools - Provides a framework for exploring high-performance computing concepts through the simulation of graphics hardware pipelines.
- GPU Architecture Education - Provides an educational environment for learning how graphics processing units function through hardware simulation.
- Graphics Pipeline Architectures - Implements a fixed-function pipeline to process geometric data through transformation and rasterization stages.
- Cycle-Accurate Execution Models - Provides a cycle-accurate execution model to visualize hardware timing and data flow progression.
- Instruction-Level Parallelism Simulators - Simulates instruction-level parallelism by executing graphics instructions across multiple data elements simultaneously.
- Parallel Computing Simulators - Tests and visualizes concurrent processing algorithms by modeling graphics processor operations.
- Hardware Register State Managers - Maintains internal hardware registers and memory buffers to track data evolution during shader program execution.
- Scalar-to-Vector Mappers - Maps scalar inputs into vector data streams to demonstrate efficient high-throughput mathematical operations.
