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- USING AI TO ACCELERATE YOUR GAME (PART 2)
NVIDIA TitanV @ 1080p, relative speedup Baseline DirectML FP32 Metacommands Tensor-core accelerated metacommands DirectML implements core machine learning operations in DirectCompute Metacommands allow implementations export optimized versions of those operations
- Accelerating GPU inferencing with DirectML and DirectX 12
How does DirectML perform? DirectML aims to achieve HW native performance DirectML uses new DirectX 12 feature called Metacommands Metacommands allow vendors to expose hardware-specific optimizations
- AMD support for Microsoft® DirectML optimization of Stable . . . - Reddit
Microsoft has provided a path in DirectML for vendors like AMD to enable optimizations called ‘metacommands’ In the case of Stable Diffusion with the Olive pipeline, AMD is building driver support for a metacommand implementation intended to improve performance and reduce the time it takes to generate output from the model
- DirectML - GitHub
⚠️DirectML is in maintenance mode ⚠️ DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning DirectML provides GPU acceleration for common machine learning tas
- [How-To] Running Optimized Llama2 with Microsoft DirectML on AMD Radeon . . .
Following up to our earlier improvements made to Stable Diffusion workloads, we are happy to share that Microsoft and AMD engineering teams worked closely to optimize Llama2 to run on AMD GPUs accelerated via the Microsoft DirectML platform API and AMD driver ML metacommands
- Introduction to DirectML | Microsoft Learn
If you need to optimize your machine learning performance for real-time, high-performance, low-latency, or resource-constrained scenarios, DirectML gives you the most control and flexibility
- performance limited with fp16 on directml #10604 - GitHub
fp32 runs resnet model with 28 9 fps, while fp16 only got 30 4fps on my gpu card And I also tested openvino on my igpu, which could speed up 1 8x with fp16 accelerate
- Accelerating GPU Inferencing with Directml and Directx 12
• DirectML defines a set of machine learning metacommands • Enables hardware-specific optimizations even though DirectML is a hardware-agnostic API • Efficient compute shader fallbacks for hardware drivers without support • Allows DirectML to perform better than generic hand-written compute shaders Metacommands NVIDIA driver Optimized
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