FlashGPU-Sim/FlashGPU-Sim

GPGPU-Sim provides a detailed simulation model of contemporary NVIDIA GPUs running CUDA and/or OpenCL workloads. It includes support for features such as TensorCores and CUDA Dynamic Parallelism as well as a performance visualization tool, AerialVisoin, and an integrated energy model, GPUWattch.

A highly-flexible GPU simulator for AMD GPUs.

This is the top-level repository for the Accel-Sim framework.

A ready-to-use AI infra development and co-simulation environment for configurable accelerator system topologies.

A lightweight Python-based GPU architecture simulator that demonstrates how parallel threads, registers, memory, and instructions work on a GPU.

A heterogeneous architecture timing model simulator.

PyTorchSim is a Comprehensive, Fast, and Accurate NPU Simulation Framework

HBFSim (HBF Sim): an open-source High-Bandwidth Flash (HBF) simulator. Runs real LLM inference on a real GPU and injects modeled HBF timing, capacity and thermal effects while the workload executes.