From 7cd31ad2bc32a7efdbcbaca6958c022ca4a2b746 Mon Sep 17 00:00:00 2001 From: DougTW Date: Fri, 12 Feb 2021 10:16:35 -0800 Subject: [PATCH] Edited demo-readme. Replaced 'master' with 'main' on line 22, 23, 24, 48, 77, 89, 94, 122, 130, 141, and 159. Skipped instance of 'master' on line 146. Signed-off-by: DougTW --- demo/readme.md | 22 +++++++++++----------- 1 file changed, 11 insertions(+), 11 deletions(-) diff --git a/demo/readme.md b/demo/readme.md index 7d1ad6e5..7e582d2d 100644 --- a/demo/readme.md +++ b/demo/readme.md @@ -19,9 +19,9 @@ for the acceleration of your workloads orchestrated by Kubernetes. The current list of supported Intel Device Plugins includes: -- [GPU Device Plugin](https://github.com/intel/intel-device-plugins-for-kubernetes/blob/master/cmd/gpu_plugin/README.md) with support for [Intel® Graphics Technology](https://www.intel.com/content/www/us/en/architecture-and-technology/visual-technology/graphics-overview.html) -- [Intel® FPGA Device Plugin](https://github.com/intel/intel-device-plugins-for-kubernetes/blob/master/cmd/fpga_plugin/README.md) -- [Intel® QuickAssist Technology (QAT) Device Plugin](https://github.com/intel/intel-device-plugins-for-kubernetes/blob/master/cmd/qat_plugin/README.md) +- [GPU Device Plugin](https://github.com/intel/intel-device-plugins-for-kubernetes/blob/main/cmd/gpu_plugin/README.md) with support for [Intel® Graphics Technology](https://www.intel.com/content/www/us/en/architecture-and-technology/visual-technology/graphics-overview.html) +- [Intel® FPGA Device Plugin](https://github.com/intel/intel-device-plugins-for-kubernetes/blob/main/cmd/fpga_plugin/README.md) +- [Intel® QuickAssist Technology (QAT) Device Plugin](https://github.com/intel/intel-device-plugins-for-kubernetes/blob/main/cmd/qat_plugin/README.md) We have included an example demo and configuration information for the Intel Device Plugins for Kubernetes below. Please join us on the sig-node-rtk channel @@ -45,7 +45,7 @@ Only one worker node has a GPU. The time difference in transcoding speed is capt - Ubuntu* 18.04 (Kernel: 4.15.0-36-generic) - Kubernetes* 1.11 - Docker* 18.3.1 - - Intel® GPU Device Plugin built from master branch + - Intel® GPU Device Plugin built from main branch ### Screencast @@ -74,7 +74,7 @@ The demos begin with a fully [configured Kubernetes cluster](https://kubernetes. - CRI-O 1.13.1 (for orchestrated mode) - Docker 19.03.1 (for preprogrammed mode) - runc 1.0.0-rc8 - - Intel® FPGA Device Plugin built from master branch + - Intel® FPGA Device Plugin built from main branch ### Demo 3 (OpenCL) platform configuration @@ -86,12 +86,12 @@ The demos begin with a fully [configured Kubernetes cluster](https://kubernetes. - Centos 7 (Kernel: 3.10.0-1062.12.1.el7.x86_64) on worker node host - Kubernetes* 1.17 - CRI-O 1.17.3 - - Intel® FPGA Device Plugin built from master branch + - Intel® FPGA Device Plugin built from main branch ### Demo steps 1. Validate the status of the [Kubernetes cluster](https://kubernetes.io/docs/setup/independent/create-cluster-kubeadm/). -2. Provision the [Intel® FPGA Device Plugin](https://github.com/intel/intel-device-plugins-for-kubernetes/blob/master/cmd/fpga_plugin/README.md). +2. Provision the [Intel® FPGA Device Plugin](https://github.com/intel/intel-device-plugins-for-kubernetes/blob/main/cmd/fpga_plugin/README.md). 3. Create bitstream storage (for orchestrated mode only) 4. Run the NLB3 or OpenCL workload. @@ -119,7 +119,7 @@ This video demonstrates the Intel® Software Guard Extensions ECDSA Quote Genera - 18.04.5 LTS - Kubernetes* 1.19 - containerd 1.3.3 - - Intel® SGX Device Plugin built from master branch + - Intel® SGX Device Plugin built from main branch - Intel® SGX SDK 2.12 and DCAP 1.9 - node-feature-discovery 0.6.0 @@ -127,7 +127,7 @@ This video demonstrates the Intel® Software Guard Extensions ECDSA Quote Genera 1. Validate the status of the [Kubernetes cluster](https://kubernetes.io/docs/setup/independent/create-cluster-kubeadm/). 2. Provision [node-feature-discovery](https://github.com/kubernetes-sigs/node-feature-discovery). -3. Provision the [Intel® SGX Device Plugin](https://github.com/intel/intel-device-plugins-for-kubernetes/blob/master/cmd/sgx_plugin/README.md) using [Intel® Device Plugin Operator](https://github.com/intel/intel-device-plugins-for-kubernetes/blob/master/cmd/operator/README.md). +3. Provision the [Intel® SGX Device Plugin](https://github.com/intel/intel-device-plugins-for-kubernetes/blob/main/cmd/sgx_plugin/README.md) using [Intel® Device Plugin Operator](https://github.com/intel/intel-device-plugins-for-kubernetes/blob/main/cmd/operator/README.md). 4. Check the SGX resources and labels are correctly registered. 5. Run Intel® SGX DCAP ECDSA Quote Generation in both "out-of-proc" and "in-proc" modes. @@ -138,7 +138,7 @@ Intel® SGX Device Plugin and SGX DCAP ECDSA Quote Generation demo ## Intel® QuickAssist Technology Device Plugin OpenSSL demo video -The screencast demonstrates the deployment of the [Intel® QAT Device Plugin](https://github.com/intel/intel-device-plugins-for-kubernetes/blob/master/cmd/qat_plugin/README.md) for +The screencast demonstrates the deployment of the [Intel® QAT Device Plugin](https://github.com/intel/intel-device-plugins-for-kubernetes/blob/main/cmd/qat_plugin/README.md) for Kubernetes and executes a sample QAT accelerated OpenSSL workload with the OCI compatible Kata Containers runtime, a lightweight Virtual Machine (VM) that feels and performs like traditional containers, but provides the workload isolation @@ -156,7 +156,7 @@ and [Kata Containers](https://github.com/kata-containers/documentation/tree/mast - Kubernetes* 1.12 - Containerd 1.2 - Kata Containers* 1.3.0 - - Intel® QAT Device Plugin built from master + - Intel® QAT Device Plugin built from main - QAT 1.7 L.4.3.0-00033 ### Demo steps