| marnovo/macOS-eGPU-CUDA-guide |
178 |
|
0 |
0 |
over 5 years ago |
0 |
|
5 |
mit |
Shell |
| Set up CUDA for machine learning (and gaming) on macOS using a NVIDIA eGPU |
| mbroemme/vdi-stream-client |
43 |
|
0 |
0 |
about 4 years ago |
0 |
|
2 |
gpl-3.0 |
C |
| VDI Stream Client is a very tiny, low latency and GPU accelerated client to connect to Windows running Parsec Host. |
| parsec-cloud/Cloud-GPU-Updater |
36 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
|
PowerShell |
| For updating P4000, P5000 and M60 GPU's |
| MinDBreaK/MSI-LED-Control |
20 |
|
0 |
0 |
almost 5 years ago |
0 |
|
4 |
gpl-3.0 |
C# |
| This is a custom controller for the MSI graphics cards. |
| Zer0CoolX/Dell-S2716DGR-Calibration-Guide |
17 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
gpl-3.0 |
|
| Calibration guide for the Dell S2716DG and S2716DGR to get the best picture quality and colors |
| J4nsen/4gamers1pc |
12 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
|
Python |
| configs, cad-files, hardware for my gaming station |
| superj80820/cloud-gaming |
10 |
|
0 |
0 |
over 6 years ago |
0 |
|
3 |
|
PowerShell |
| alanzw/sharerender |
9 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
apache-2.0 |
C++ |
| ShareRender is a cloud gaming system that enables fine-grained resource sharing at the frame-level. Existing cloud gaming systems suffer from low GPU utilization in the virtualized environment. Moreover, GPU resources are scheduled in units of virtual machines (VMs) and this kind of coarse-grained scheduling at the VM-level fails to fully exploit GPU processing capacity. ShareRender offloads graphics workloads within VMs directly to GPUs, bypassing GPU virtualization. For each game running in a VM, ShareRender starts a graphics wrapper to intercept frame rendering requests and assign them to render agents responsible for frame rendering on GPUs. Thanks to the flexible workload assignment among multiple render agents, ShareRender enables fine-grained resource sharing at the frame-level to significantly improve GPU utilization. If you want to know more about ShareRender, please refer to our paper in Multimedia 2017. Wei Zhang, Xiaofei Liao, Peng Li, Hai Jin, Li Lin, "ShareRender: Bypassing GPU Virtualization to Enable Fine-grained Resource Sharing for Cloud Gaming". In Proceedings of ACM International Conference on Multimedia (MM'17), Mountain View, CA, 2017. |
| jedi4ever/gditc |
7 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
PowerShell |
| Gaming/Gpu Desktop in the Cloud |
| stakeout55/macOS-11.1-OpenCore-z390-IGPU |
5 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
C++ |
| This is my working EFI for Opencore. Hardware consists of: Gigabyte z390 Gaming X, 16GB GSkill DDR4 Ram, NO GPU, i5-9600k, 1x500gb NVME ssd, 1x500gb 3D Sata ssd |
