oma improves how your software runs on Windows by using your computer’s processor in the best way. It picks the fastest settings for your CPU automatically every time your software starts. This means your apps can run smoother and faster, without you needing to change any settings.
This application works with many modern processors, including those that support AVX, AVX2, AVX-512, SSE2, and NEON instruction sets. It is built for Zig, a programming language, but you do not need to know Zig to use it.
Before you download oma, make sure:
- You have a Windows PC (Windows 10 or later recommended).
- Your computer’s processor supports SIMD instructions like AVX or SSE2. Most modern CPUs do.
- You have internet access to get the program.
- You have enough space to store and run the program (less than 50 MB).
You don't need to install any extra tools or software. oma runs on its own when started.
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Visit the main download page by clicking this link:
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On the GitHub page, look for a folder or section called Releases or a direct download link to the program files.
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Find the latest version of oma for Windows. This may be an
.exefile or a zip file containing the.exe. -
If you download a zip file:
- Right-click the file.
- Choose Extract All.
- Select where you want to save the program.
- Click Extract.
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Open the folder where you saved oma.
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Double-click the
.exefile to start using oma.
When oma runs, it will automatically detect your CPU and select the best settings. No setup or input is needed.
oma helps software applications use the SIMD (Single Instruction, Multiple Data) feature of your CPU. SIMD allows your computer to handle multiple operations at once in parallel, which makes processing faster, especially for tasks like video, audio, and scientific calculations.
Rather than running many versions of the program, oma compiles just once and chooses the best version to run depending on your CPU’s abilities. This happens every time you start the software, so it always maximizes speed.
- Automatic CPU detection: No user action required.
- Support for major SIMD instruction sets: Works with AVX, AVX2, AVX-512, SSE2, and NEON.
- Single compile, multiple optimizations: Installs once, runs best on any CPU.
- Works on Windows 10 and later.
- Lightweight: Uses little disk space and memory.
- No programming needed: Friendly for non-technical users.
- Download and run the oma program executable file.
- The program will scan your CPU’s instruction sets.
- It will select and activate the fastest possible option for your computer.
- oma runs silently in the background while your applications are using SIMD features.
- To stop oma, simply close the program window.
oma requires no regular updates from users. When a new version is available, you can repeat the download process to install the latest improvements.
oma.exe: The main program file you run.README.md: This file, with instructions.LICENSE: Information on how you can use oma.
No. oma only optimizes programs designed to use SIMD via the Zig language bindings. It will not change or affect other software on your PC.
Yes. Just delete the program folder or the .exe file. There are no hidden processes or system changes.
No. oma runs only when needed and uses minimal CPU and memory resources.
oma is open source and runs locally on your PC. It does not access your files or the internet while running.
- Intel and AMD CPUs with SSE2, AVX, AVX2, or AVX-512.
- ARM CPUs that support NEON SIMD instructions.
- Windows 10 and newer versions.
- 64-bit Windows recommended for full functionality.
If oma does not start:
- Make sure your antivirus is not blocking the program.
- Confirm your Windows version is up to date.
- Try running the program as administrator by right-clicking and selecting Run as administrator.
- Download the program again if you suspect the file was corrupted.
If you experience performance issues, your CPU might not fully support advanced SIMD instructions. oma will still run, but with reduced optimization in that case.
If you need help, ask questions or report issues on the GitHub repository page under the Issues tab:
https://github.com/Gshacker-cpu/oma/issues