compute-runtime
Intel® Graphics Compute Runtime for oneAPI Level Zero and OpenCL™ Driver (by intel)
VirtualMultiArray
C++ virtual-array implementation that uses all graphics cards in system as storage (with LRU cache eviction on RAM) and uses OpenCL for data transfers. (Random access: faster than HDD) (Sequential access: faster than SSD) (big objects: faster than NVMe) (by tugrul512bit)
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| compute-runtime | VirtualMultiArray | |
|---|---|---|
| 58 | 4 | |
| 1,066 | 14 | |
| 3.7% | - | |
| 10.0 | 3.4 | |
| 4 days ago | 9 months ago | |
| C++ | C++ | |
| MIT License | GNU General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
compute-runtime
Posts with mentions or reviews of compute-runtime.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-23.
- Intel Graphics Compute Runtime for OneAPI Level Zero and OpenCL
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Alder Lake HDR tone mapping
Well... Fuck! https://github.com/intel/compute-runtime/issues/643
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Proxmox VE 8.0 released!
For what it's worth, I was able to get IOMMU enabled and iGPU passthrough working for Plex on an Ubuntu 22.04 LXC container with a fresh install of Proxmox 8.0.3 (kenrel 6.2.16-3-pve) on an Intel i5-13400, ASRock B760M Pro RS/D4, also using Intel drivers released early today. I largely followed this guide.
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rocm-opencl (rocm-opencl-runtime) rx 6600 xt support
For this little project unless someone chimes in with experience or can point to regarding the RX 6600 XT / 6650 XT / perhaps 7600 I might go with https://github.com/intel/compute-runtime . (They don't have perfect documentation re supported gpus either, the readme table doesn't list DG2, you need to go to releases to see that) . Phoronix reported it as pretty stable when they tested it with kernel 6.2 in March.
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Vladmandic Stable Diffusion added Intel ARC GPU support on Linux
Update: I was able to fix my issue. I'm using Ubuntu 22.04.2 LTS and have the newest available kernel, 6.3.1. Installing the drivers via apt does not work, instead I needed to use https://github.com/intel/compute-runtime/releases/
- Intel Arc Driver Overhead - Just a Myth?
- How do you allocate more than 4GB of memory for OpenCL in A770 16GB?
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Proxmox iGPU passthrough to LXC not working
Drivers: https://github.com/intel/compute-runtime/releases
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Stable Diffusion Web UI for Intel Arc
wget https://github.com/intel/compute-runtime/releases/download/22.43.24595.30/intel-level-zero-gpu-dbgsym_1.3.24595.30_amd64.ddeb
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Current state of Intel Arc transcoding
For OpenCL HDR/DV tone-mapping, install the extra compute-runtime if running on host.
VirtualMultiArray
Posts with mentions or reviews of VirtualMultiArray.
We have used some of these posts to build our list of alternatives
and similar projects.
- Is there some standard approach for caching file in memory?
- I need more memory than what i can get on a GPU, how can i use system memory as CUDA swap?
- Could anyone with 2-3 PCIE v3.0 / v4.0 graphics cards run this C++ virtual array benchmark on Windows or Ubuntu? My system with PCIE v2.0 16x gets 6GB/s throughput on Ubuntu but only 2GB/s on Windows.
- A C++ virtual-array that uses graphics cards as backing store, beats HDD/SSD-swap in 4kB random access performance and NVMe-swap in sequential access if you have enough pcie bandwidth.
What are some alternatives?
When comparing compute-runtime and VirtualMultiArray you can also consider the following projects:
jellyfin-ffmpeg - FFmpeg for Jellyfin
stdgpu - stdgpu: Efficient STL-like Data Structures on the GPU
kbct - Keyboard keycode mapping utility for Linux supporting layered configuration
docker-jellyfin
PMS_Updater - Shell script for updating the Plex Media Server inside the FreeNAS Plex plugin
hawck - Key-rebinding daemon for Linux (Wayland/X11/Console)
intel-graphics-compiler
docker-mods - Documentation and Examples of base container modifications
docker-plex
pve-edge-kernel - Newer Linux kernels for Proxmox VE 7
grcuda - Polyglot CUDA integration for the GraalVM
linux - Linux kernel source tree
compute-runtime vs jellyfin-ffmpeg
VirtualMultiArray vs stdgpu
compute-runtime vs kbct
compute-runtime vs docker-jellyfin
compute-runtime vs PMS_Updater
compute-runtime vs hawck
compute-runtime vs intel-graphics-compiler
compute-runtime vs docker-mods
compute-runtime vs docker-plex
compute-runtime vs pve-edge-kernel
compute-runtime vs grcuda
compute-runtime vs linux