GPGPU-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. observed · 2026-10-15
Health v2 · maintenance only
78/100
- Activity 98
- Release rhythm 40
- Longevity 100
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 0
- age_days: 4455
- days_rel: 616
- days_push: 17
- n_releases_24m: 2
Adoption not part of the score
1750 stars · 674 forks observed · 2026-10-15
Summary
No AI-extracted summary yet.
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| gpgpu-sim/gpgpu-sim_distribution | main | 78 |
| gpgpu-sim/pytorch-gpgpu-sim | plugin | 32 |
For agents
markdown · JSON · MCP: product_card(name="gpgpu-sim/gpgpu-sim_distribution")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem