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Add deprecation notices about GAS
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cmd/gpu_plugin/README.md

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| Flag | Argument | Default | Meaning |
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|:---- |:-------- |:------- |:------- |
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| -enable-monitoring | - | disabled | Enable '*_monitoring' resource that provides access to all Intel GPU devices on the node, [see use](./monitoring.md) |
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| -resource-manager | - | disabled | Enable fractional resource management, [see use](./fractional.md) |
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| -resource-manager | - | disabled | Deprecated. Enable fractional resource management, [see use](./fractional.md) |
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| -health-management | - | disabled | Enable health management by requesting data from oneAPI/Level-Zero interface. Requires [GPU Level-Zero](../gpu_levelzero/) sidecar. See [health management](#health-management) |
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| -wsl | - | disabled | Adapt plugin to run in the WSL environment. Requires [GPU Level-Zero](../gpu_levelzero/) sidecar. |
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| -shared-dev-num | int | 1 | Number of containers that can share the same GPU device |
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GPU plugin can be installed with the Intel Device Plugin Operator. It allows configuring GPU plugin's parameters without kustomizing the deployment files. The general installation is described in the [install documentation](../operator/README.md#installation). For configuring the GPU Custom Resource (CR), see the [configuration options](#modes-and-configuration-options) and [operation modes](#operation-modes-for-different-workload-types).
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### Install alongside with GPU Aware Scheduling
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### Install alongside with GPU Aware Scheduling (deprecated)
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GPU plugin can be installed alongside with GPU Aware Scheduling (GAS). It allows scheduling Pods which e.g. request only partial use of a GPU. The installation is described in [fractional resources](./fractional.md) page.
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cmd/gpu_plugin/fractional.md

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# GPU plugin with GPU Aware Scheduling
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# GPU plugin with GPU Aware Scheduling (deprecated)
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This is an experimental feature.
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This is a deprecated feature. It is recommended to instead use the newer [DRA resource driver](https://github.com/intel/intel-resource-drivers-for-kubernetes) to achieve fractional GPU resource allocating.
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Installing the GPU plugin with [GPU Aware Scheduling](https://github.com/intel/platform-aware-scheduling/tree/master/gpu-aware-scheduling) (GAS) enables containers to request partial (fractional) GPU resources. For example, a Pod's container can request GPU's millicores or memory and use only a fraction of the GPU. The remaining resources could be leveraged by another container.
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