# KemengHuang/GPU\_IPC

<https://repo.masters-masters.com/en/repos/KemengHuang/GPU_IPC>

[Home](https://repo.masters-masters.com/en) › [KemengHuang](https://repo.masters-masters.com/en/owners/KemengHuang) › [GPU\_IPC](https://repo.masters-masters.com/en/repos/KemengHuang/GPU_IPC)

KemengHuang/GPU\_IPC has 151 stars on GitHub. Its RepoMasters card: Prototype tier. This is the first fully GPU Optimized IPC framework Language: Cuda.

| Field | Value |
| --- | --- |
| Owner | [KemengHuang](https://repo.masters-masters.com/en/owners/KemengHuang) |
| Stars | 151 |
| Forks | 23 |
| Language | [Cuda](https://repo.masters-masters.com/en/languages/cuda) |
| License | MPL-2.0 |
| Created | 2024 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [KemengHuang/GPU\_IPC](https://github.com/KemengHuang/GPU_IPC) |

## Repository

This is the first fully GPU Optimized IPC framework

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

## Nearby in Cuda

- [ByteDance-Seed/decoupleQ · ★ 154 · Cuda · Prototype](https://repo.masters-masters.com/en/repos/ByteDance-Seed/decoupleQ)
- [svip-lab/HRNet-for-Fashion-Landmark-Estimation.PyTorch · ★ 153 · Cuda · Prototype](https://repo.masters-masters.com/en/repos/svip-lab/HRNet-for-Fashion-Landmark-Estimation.PyTorch)
- [nerficg-project/HTGS · ★ 153 · Cuda · Prototype](https://repo.masters-masters.com/en/repos/nerficg-project/HTGS)
- [wzsh/wmma\_tensorcore\_sample · ★ 150 · Cuda · Prototype](https://repo.masters-masters.com/en/repos/wzsh/wmma_tensorcore_sample)
- [yanqswhu/cuda\_by\_example · ★ 148 · Cuda · Prototype](https://repo.masters-masters.com/en/repos/yanqswhu/cuda_by_example)
- [chrischoy/knn\_cuda · ★ 147 · Cuda · Prototype](https://repo.masters-masters.com/en/repos/chrischoy/knn_cuda)

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.