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Copy file name to clipboardExpand all lines: content/install-guides/dcperf.md
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- Neoverse
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test_images:
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- ubuntu:22.04
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- ubuntu:latest
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test_maintenance: false
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layout: installtoolsall
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DCPerf is an open-source benchmarking and microbenchmarking suite originally developed by Meta. It faithfully replicates the characteristics of general-purpose data center workloads, with particular attention to microarchitectural fidelity. DCPerf stands out for accurate simulation of behaviors such as cache misses and branch mispredictions, which are details that many other benchmarking tools overlook.
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You can use DCPerf to generate performance data to inform procurement decisions, and for regression testing to detect changes in the environment, such as kernel and compiler changes.
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You can use DCPerf to generate performance data to inform procurement decisions, and for regression testing to detect changes in the environment, such as kernel and compiler changes.
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DCPerf runs on Arm-based servers. The examples below have been tested on an AWS `c7g.metal` instance running Ubuntu 22.04 LTS.
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DCPerf runs on Arm-based servers. The examples below have been tested on an AWS `c7g.metal` instance running Ubuntu 22.04 LTS.
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{{% notice Note %}}
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When running on a server provided by a cloud service, you have limited access to some parameters, such as UEFI settings, which can affect performance.
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When running on a server provided by a cloud service, you have limited access to some parameters, such as UEFI settings, which can affect performance.
Confirm security-enhanced Linux (SELinux) is disabled with the following commands:
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Confirm security-enhanced Linux (SELinux) is disabled with the following commands:
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```bash
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sudo apt install selinux-utils
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getenforce
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```
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You should see the following response:
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You should see the following response:
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```output
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Disabled
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These metrics help you evaluate the performance and reliability of the system under test. Higher values for successful requests and RPS, and lower response times, generally indicate better performance. The score provides a single value for easy comparison across runs or systems.
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## Next steps
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## Next steps
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These are some activities you might like to try next:
5. Ensure the Graph layer is listed *above* the Tensor layer, and that you've set up the configuration scope as shown in the image.
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5.Switch back to the **Vulkan Loader Management** tab. Ensure the Graph layer is listed *above* the Tensor layer, and that you've set up the configuration scope as shown in the image.
Copy file name to clipboardExpand all lines: content/learning-paths/mobile-graphics-and-gaming/vulkan-ml-sample/2-ml-ext-for-vulkan.md
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Under the **Vulkan Layers Location** tab, add the path to your `MLEmulationLayerForVulkan` folder.
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In the **Apply a Vulkan Loader Configuration** list, right-click and choose **Create a new Configuration**. You can give the new configuration any name, for example `tensor_and_data_graph`.
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Switch back to the **Vulkan Loader Management** tab. In the **Apply a Vulkan Loader Configuration** list, right-click and choose **Create a new Configuration**. You can give the new configuration any name, for example `tensor_and_data_graph`.
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