Optimizing data plane performance with the Intel vRAN Dedicated Accelerator ACC100 | Scalability and performance

Understanding the vRAN Dedicated Accelerator ACC100
Installing the OpenNESS SR-IOV Operator for Wireless FEC Accelerators
Additional resources

Understanding the vRAN Dedicated Accelerator ACC100

Hardware accelerator cards from Intel accelerate 4G/LTE and 5G Virtualized Radio Access Networks (vRAN) workloads. This in turn increases the overall compute capacity of a commercial, off-the-shelf platform.

The vRAN Dedicated Accelerator ACC100, based on Intel eASIC technology is designed to offload and accelerate the computing-intensive process of forward error correction (FEC) for 4G/LTE and 5G technology, freeing up processing power. Intel eASIC devices are structured ASICs, an intermediate technology between FPGAs and standard application-specific integrated circuits (ASICs).

Intel vRAN Dedicated Accelerator ACC100 support on OpenShift Container Platform uses one Operator:

OpenNESS Operator for Wireless FEC Accelerators

Installing the OpenNESS SR-IOV Operator for Wireless FEC Accelerators

The role of the OpenNESS Operator for Intel Wireless forward error correction (FEC) Accelerator is to orchestrate and manage the devices exposed by a range of Intel vRAN FEC acceleration hardware within the OpenShift Container Platform cluster.

One of the most compute-intensive 4G/LTE and 5G workloads is RAN layer 1 (L1) FEC. FEC resolves data transmission errors over unreliable or noisy communication channels. FEC technology detects and corrects a limited number of errors in 4G/LTE or 5G data without the need for retransmission.

The FEC device provided by the Intel vRAN Dedicated Accelerator ACC100 supports the vRAN use case.

The OpenNESS SR-IOV Operator for Wireless FEC Accelerators provides functionality to create virtual functions (VFs) for the FEC device, binds them to appropriate drivers, and configures the VFs queues for functionality in 4G/LTE or 5G deployment.

As a cluster administrator, you can install the OpenNESS SR-IOV Operator for Wireless FEC Accelerators by using the OpenShift Container Platform CLI or the web console.

Installing the OpenNESS SR-IOV Operator for Wireless FEC Accelerators by using the CLI

As a cluster administrator, you can install the OpenNESS SR-IOV Operator for Wireless FEC Accelerators by using the CLI.

Prerequisites

A cluster installed on bare-metal hardware.
Install the OpenShift CLI (oc).
Log in as a user with cluster-admin privileges.

Procedure

Create a namespace for the OpenNESS SR-IOV Operator for Wireless FEC Accelerators by completing the following actions:
1. Define the vran-acceleration-operators namespace by creating a file named sriov-namespace.yaml as shown in the following example:
  apiVersion: v1 kind: Namespace metadata: name: vran-acceleration-operators labels: openshift.io/cluster-monitoring: "true"
2. Create the namespace by running the following command:
  $ oc create -f sriov-namespace.yaml

Install the OpenNESS SR-IOV Operator for Wireless FEC Accelerators in the namespace you created in the previous step by creating the following objects:

Create the following OperatorGroup custom resource (CR) and save the YAML in the sriov-operatorgroup.yaml file:

apiVersion: operators.coreos.com/v1
kind: OperatorGroup
metadata:
    name: vran-operators
    namespace: vran-acceleration-operators
spec:
    targetNamespaces:
      - vran-acceleration-operators

Create the OperatorGroup CR by running the following command:
```
$ oc create -f sriov-operatorgroup.yaml
```

Run the following command to get the channel value required for the next step.

$ oc get packagemanifest sriov-fec -n openshift-marketplace -o jsonpath='{.status.defaultChannel}'

Example output

stable

Create the following Subscription CR and save the YAML in the sriov-sub.yaml file:

apiVersion: operators.coreos.com/v1alpha1
kind: Subscription
metadata:
    name: sriov-fec-subscription
    namespace: vran-acceleration-operators
spec:
    channel: "<channel>" (1)
    name: sriov-fec
    source: certified-operators (2)
    sourceNamespace: openshift-marketplace

1	Specify the value for channel from the value obtained in the previous step for the `.status.defaultChannel` parameter.
2	You must specify the `certified-operators` value.

Create the Subscription CR by running the following command:
```
$ oc create -f sriov-sub.yaml
```

Verification

Verify that the Operator is installed:

$ oc get csv -n vran-acceleration-operators -o custom-columns=Name:.metadata.name,Phase:.status.phase

Example output

Name                                        Phase
sriov-fec.v1.1.0                            Succeeded

Installing the OpenNESS SR-IOV Operator for Wireless FEC Accelerators by using the web console

As a cluster administrator, you can install the OpenNESS SR-IOV Operator for Wireless FEC Accelerators by using the web console.

You must create the Namespace and OperatorGroup custom resource (CR) as mentioned in the previous section.

Procedure

Install the OpenNESS SR-IOV Operator for Wireless FEC Accelerators by using the OpenShift Container Platform web console:
1. In the OpenShift Container Platform web console, click Operators → OperatorHub.
2. Choose OpenNESS SR-IOV Operator for Wireless FEC Accelerators from the list of available Operators, and then click Install.
3. On the Install Operator page, select All namespaces on the cluster. Then, click Install.
Optional: Verify that the SRIOV-FEC Operator is installed successfully:
1. Switch to the Operators → Installed Operators page.
2. Ensure that OpenNESS SR-IOV Operator for Wireless FEC Accelerators is listed in the vran-acceleration-operators project with a Status of InstallSucceeded.
  
  During installation an Operator might display a Failed status. If the installation later succeeds with an InstallSucceeded message, you can ignore the Failed message.
  
  If the console does not indicate that the Operator is installed, perform the following troubleshooting steps:
  - Go to the Operators → Installed Operators page and inspect the Operator Subscriptions and Install Plans tabs for any failure or errors under Status.
  - Go to the Workloads → Pods page and check the logs for pods in the vran-acceleration-operators project.

Configuring the SR-IOV FEC Operator for the Intel® vRAN Dedicated Accelerator ACC100

Programming the Intel vRAN Dedicated Accelerator ACC100 exposes the Single Root I/O Virtualization (SRIOV) virtual function (VF) devices that are then used to accelerate the forward error correction (FEC) in the vRAN workload. The Intel vRAN Dedicated Accelerator ACC100 accelerates 4G and 5G Virtualized Radio Access Networks (vRAN) workloads. This in turn increases the overall compute capacity of a commercial, off-the-shelf platform. This device is also known as Mount Bryce.

The SR-IOV-FEC Operator handles the management of the FEC devices that are used to accelerate the FEC process in vRAN L1 applications.

Configuring the SR-IOV-FEC Operator involves:

Creating the virtual functions (VFs) for the FEC device
Binding the VFs to the appropriate drivers
Configuring the VF queues for desired functionality in a 4G or 5G deployment

The role of forward error correction (FEC) is to correct transmission errors, where certain bits in a message can be lost or garbled. Messages can be lost or garbled due to noise in the transmission media, interference, or low signal strength. Without FEC, a garbled message would have to be resent, adding to the network load and impacting throughput and latency.

Prerequisites

Intel FPGA ACC100 5G/4G card.
Node or nodes installed with the OpenNESS Operator for Wireless FEC Accelerators.
Enable global SR-IOV and VT-d settings in the BIOS for the node.
RT kernel configured with Performance Addon Operator.
Log in as a user with cluster-admin privileges.

Procedure

Change to the vran-acceleration-operators project:
```
$ oc project vran-acceleration-operators
```

Verify that the SR-IOV-FEC Operator is installed:

$ oc get csv -o custom-columns=Name:.metadata.name,Phase:.status.phase

Example output

Name                                        Phase
sriov-fec.v1.1.0                            Succeeded

Verify that the sriov-fec pods are running:
```
$  oc get pods
```
Example output
```
NAME                                            READY       STATUS      RESTARTS    AGE
sriov-device-plugin-j5jlv                       1/1         Running     1           15d
sriov-fec-controller-manager-85b6b8f4d4-gd2qg   1/1         Running     1           15d
sriov-fec-daemonset-kqqs6                       1/1         Running     1           15d
```
- sriov-device-plugin expose the FEC virtual functions as resources under the node
- sriov-fec-controller-manager applies CR to the node and maintains the operands containers
- sriov-fec-daemonset is responsible for:
  - Discovering the SRIOV NICs on each node.
  - Syncing the status of the custom resource (CR) defined in step 6.
  - Taking the spec of the CR as input and configuring the discovered NICs.
Retrieve all the nodes containing one of the supported vRAN FEC accelerator devices:
```
$ oc get sriovfecnodeconfig
```
Example output
```
NAME             CONFIGURED
node1            Succeeded
```

Find the physical function (PF) of the SR-IOV FEC accelerator device to configure:

$ oc get sriovfecnodeconfig node1 -o yaml

Example output

status:
    conditions:
    - lastTransitionTime: "2021-03-19T17:19:37Z"
      message: Configured successfully
      observedGeneration: 1
      reason: ConfigurationSucceeded
      status: "True"
      type: Configured
    inventory:
       sriovAccelerators:
       - deviceID: 0d5c
         driver: ""
         maxVirtualFunctions: 16
         pciAddress: 0000:af:00.0 (1)
         vendorID: "8086"
         virtualFunctions: [] (2)

1	This field indicates the PCI address of the card.
2	This field shows that the virtual functions are empty.

Configure the number of virtual functions and queue groups on the FEC device:

Create the following custom resource (CR) and save the YAML in the sriovfec_acc100cr.yaml file:

This example configures the ACC100 8/8 queue groups for 5G, 4 queue groups for Uplink, and another 4 queue groups for Downlink.

apiVersion: sriovfec.intel.com/v1
kind: SriovFecClusterConfig
metadata:
  name: config (1)
spec:
  nodes:
   - nodeName: node1 (2)
     physicalFunctions:
       - pciAddress: 0000:af:00.0 (3)
         pfDriver: "pci-pf-stub"
         vfDriver: "vfio-pci"
         vfAmount: 16 (4)
         bbDevConfig:
           acc100:
             # Programming mode: 0 = VF Programming, 1 = PF Programming
             pfMode: false
             numVfBundles: 16
             maxQueueSize: 1024
             uplink4G:
               numQueueGroups: 0
               numAqsPerGroups: 16
               aqDepthLog2: 4
             downlink4G:
              numQueueGroups: 0
              numAqsPerGroups: 16
              aqDepthLog2: 4
             uplink5G:
              numQueueGroups: 4
              numAqsPerGroups: 16
              aqDepthLog2: 4
             downlink5G:
              numQueueGroups: 4
              numAqsPerGroups: 16
              aqDepthLog2: 4

1	Specify a name for the CR object. The only name that can be specified is `config`.
2	Specify the node name.
3	Specify the PCI address of the card on which the SR-IOV-FEC Operator will be installed.
4	Specify the number of virtual functions to create. For the Intel vRAN Dedicated Accelerator ACC100, create all 16 VFs.

The card is configured to provide up to 8 queue groups with up to 16 queues per group. The queue groups can be divided between groups allocated to 5G and 4G and Uplink and Downlink. The Intel vRAN Dedicated Accelerator ACC100 can be configured for:

4G or 5G only
4G and 5G at the same time

Each configured VF has access to all the queues. Each of the queue groups have a distinct priority level. The request for a given queue group is made from the application level that is, the vRAN application leveraging the FEC device.

Apply the CR:
```
$ oc apply -f sriovfec_acc100cr.yaml
```
After applying the CR, the SR-IOV FEC daemon starts configuring the FEC device.

Verification

Check the status:

$ oc get sriovfecclusterconfig config -o yaml

Example output

status:
    conditions:
    - lastTransitionTime: "2021-03-19T11:46:22Z"
      message: Configured successfully
      observedGeneration: 1
      reason: Succeeded
      status: "True"
      type: Configured
    inventory:
      sriovAccelerators:
      - deviceID: 0d5c
        driver: pci-pf-stub
        maxVirtualFunctions: 16
        pciAddress: 0000:af:00.0
        vendorID: "8086"
        virtualFunctions:
        - deviceID: 0d5d
          driver: vfio-pci
          pciAddress: 0000:b0:00.0
        - deviceID: 0d5d
          driver: vfio-pci
          pciAddress: 0000:b0:00.1
        - deviceID: 0d5d
          driver: vfio-pci
          pciAddress: 0000:b0:00.2
        - deviceID: 0d5d
          driver: vfio-pci
          pciAddress: 0000:b0:00.3
        - deviceID: 0d5d
          driver: vfio-pci
          pciAddress: 0000:b0:00.4

Check the logs:

Determine the pod name of the SR-IOV daemon:

$ oc get po -o wide | grep sriov-fec-daemonset | grep node1

Example output

sriov-fec-daemonset-kqqs6                      1/1     Running   0          19h

View the logs:

$ oc logs sriov-fec-daemonset-kqqs6

Example output

{"level":"Level(-2)","ts":1616794345.4786215,"logger":"daemon.drainhelper.cordonAndDrain()","msg":"node drained"}
{"level":"Level(-4)","ts":1616794345.4786265,"logger":"daemon.drainhelper.Run()","msg":"worker function - start"}
{"level":"Level(-4)","ts":1616794345.5762916,"logger":"daemon.NodeConfigurator.applyConfig","msg":"current node status","inventory":{"sriovAccelerat
ors":[{"vendorID":"8086","deviceID":"0b32","pciAddress":"0000:20:00.0","driver":"","maxVirtualFunctions":1,"virtualFunctions":[]},{"vendorID":"8086"
,"deviceID":"0d5c","pciAddress":"0000:af:00.0","driver":"","maxVirtualFunctions":16,"virtualFunctions":[]}]}}
{"level":"Level(-4)","ts":1616794345.5763638,"logger":"daemon.NodeConfigurator.applyConfig","msg":"configuring PF","requestedConfig":{"pciAddress":"
0000:af:00.0","pfDriver":"pci-pf-stub","vfDriver":"vfio-pci","vfAmount":2,"bbDevConfig":{"acc100":{"pfMode":false,"numVfBundles":16,"maxQueueSize":1
024,"uplink4G":{"numQueueGroups":4,"numAqsPerGroups":16,"aqDepthLog2":4},"downlink4G":{"numQueueGroups":4,"numAqsPerGroups":16,"aqDepthLog2":4},"uplink5G":{"numQueueGroups":0,"numAqsPerGroups":16,"aqDepthLog2":4},"downlink5G":{"numQueueGroups":0,"numAqsPerGroups":16,"aqDepthLog2":4}}}}}
{"level":"Level(-4)","ts":1616794345.5774765,"logger":"daemon.NodeConfigurator.loadModule","msg":"executing command","cmd":"/usr/sbin/chroot /host/ modprobe pci-pf-stub"}
{"level":"Level(-4)","ts":1616794345.5842702,"logger":"daemon.NodeConfigurator.loadModule","msg":"commands output","output":""}
{"level":"Level(-4)","ts":1616794345.5843055,"logger":"daemon.NodeConfigurator.loadModule","msg":"executing command","cmd":"/usr/sbin/chroot /host/ modprobe vfio-pci"}
{"level":"Level(-4)","ts":1616794345.6090655,"logger":"daemon.NodeConfigurator.loadModule","msg":"commands output","output":""}
{"level":"Level(-2)","ts":1616794345.6091156,"logger":"daemon.NodeConfigurator","msg":"device's driver_override path","path":"/sys/bus/pci/devices/0000:af:00.0/driver_override"}
{"level":"Level(-2)","ts":1616794345.6091807,"logger":"daemon.NodeConfigurator","msg":"driver bind path","path":"/sys/bus/pci/drivers/pci-pf-stub/bind"}
{"level":"Level(-2)","ts":1616794345.7488534,"logger":"daemon.NodeConfigurator","msg":"device's driver_override path","path":"/sys/bus/pci/devices/0000:b0:00.0/driver_override"}
{"level":"Level(-2)","ts":1616794345.748938,"logger":"daemon.NodeConfigurator","msg":"driver bind path","path":"/sys/bus/pci/drivers/vfio-pci/bind"}
{"level":"Level(-2)","ts":1616794345.7492096,"logger":"daemon.NodeConfigurator","msg":"device's driver_override path","path":"/sys/bus/pci/devices/0000:b0:00.1/driver_override"}
{"level":"Level(-2)","ts":1616794345.7492566,"logger":"daemon.NodeConfigurator","msg":"driver bind path","path":"/sys/bus/pci/drivers/vfio-pci/bind"}
{"level":"Level(-4)","ts":1616794345.74968,"logger":"daemon.NodeConfigurator.applyConfig","msg":"executing command","cmd":"/sriov_workdir/pf_bb_config ACC100 -c /sriov_artifacts/0000:af:00.0.ini -p 0000:af:00.0"}
{"level":"Level(-4)","ts":1616794346.5203931,"logger":"daemon.NodeConfigurator.applyConfig","msg":"commands output","output":"Queue Groups: 0 5GUL, 0 5GDL, 4 4GUL, 4 4GDL\nNumber of 5GUL engines 8\nConfiguration in VF mode\nPF ACC100 configuration complete\nACC100 PF [0000:af:00.0] configuration complete!\n\n"}
{"level":"Level(-4)","ts":1616794346.520459,"logger":"daemon.NodeConfigurator.enableMasterBus","msg":"executing command","cmd":"/usr/sbin/chroot /host/ setpci -v -s 0000:af:00.0 COMMAND"}
{"level":"Level(-4)","ts":1616794346.5458736,"logger":"daemon.NodeConfigurator.enableMasterBus","msg":"commands output","output":"0000:af:00.0 @04 = 0142\n"}
{"level":"Level(-4)","ts":1616794346.5459251,"logger":"daemon.NodeConfigurator.enableMasterBus","msg":"executing command","cmd":"/usr/sbin/chroot /host/ setpci -v -s 0000:af:00.0 COMMAND=0146"}
{"level":"Level(-4)","ts":1616794346.5795262,"logger":"daemon.NodeConfigurator.enableMasterBus","msg":"commands output","output":"0000:af:00.0 @04 0146\n"}
{"level":"Level(-2)","ts":1616794346.5795407,"logger":"daemon.NodeConfigurator.enableMasterBus","msg":"MasterBus set","pci":"0000:af:00.0","output":"0000:af:00.0 @04 0146\n"}
{"level":"Level(-4)","ts":1616794346.6867144,"logger":"daemon.drainhelper.Run()","msg":"worker function - end","performUncordon":true}
{"level":"Level(-4)","ts":1616794346.6867719,"logger":"daemon.drainhelper.Run()","msg":"uncordoning node"}
{"level":"Level(-4)","ts":1616794346.6896322,"logger":"daemon.drainhelper.uncordon()","msg":"starting uncordon attempts"}
{"level":"Level(-2)","ts":1616794346.69735,"logger":"daemon.drainhelper.uncordon()","msg":"node uncordoned"}
{"level":"Level(-4)","ts":1616794346.6973662,"logger":"daemon.drainhelper.Run()","msg":"cancelling the context to finish the leadership"}
{"level":"Level(-4)","ts":1616794346.7029872,"logger":"daemon.drainhelper.Run()","msg":"stopped leading"}
{"level":"Level(-4)","ts":1616794346.7030034,"logger":"daemon.drainhelper","msg":"releasing the lock (bug mitigation)"}
{"level":"Level(-4)","ts":1616794346.8040674,"logger":"daemon.updateInventory","msg":"obtained inventory","inv":{"sriovAccelerators":[{"vendorID":"8086","deviceID":"0b32","pciAddress":"0000:20:00.0","driver":"","maxVirtualFunctions":1,"virtualFunctions":[]},{"vendorID":"8086","deviceID":"0d5c","pciAddress":"0000:af:00.0","driver":"pci-pf-stub","maxVirtualFunctions":16,"virtualFunctions":[{"pciAddress":"0000:b0:00.0","driver":"vfio-pci","deviceID":"0d5d"},{"pciAddress":"0000:b0:00.1","driver":"vfio-pci","deviceID":"0d5d"}]}]}}
{"level":"Level(-4)","ts":1616794346.9058325,"logger":"daemon","msg":"Update ignored, generation unchanged"}
{"level":"Level(-2)","ts":1616794346.9065044,"logger":"daemon.Reconcile","msg":"Reconciled","namespace":"vran-acceleration-operators","name":"pg-itengdvs02r.altera.com"}

Check the FEC configuration of the card:

$ oc get sriovfecnodeconfig node1 -o yaml

Example output

status:
    conditions:
    - lastTransitionTime: "2021-03-19T11:46:22Z"
      message: Configured successfully
      observedGeneration: 1
      reason: Succeeded
      status: "True"
      type: Configured
    inventory:
      sriovAccelerators:
      - deviceID: 0d5c (1)
        driver: pci-pf-stub
        maxVirtualFunctions: 16
        pciAddress: 0000:af:00.0
        vendorID: "8086"
        virtualFunctions:
        - deviceID: 0d5d (2)
          driver: vfio-pci
          pciAddress: 0000:b0:00.0
        - deviceID: 0d5d
          driver: vfio-pci
          pciAddress: 0000:b0:00.1
        - deviceID: 0d5d
          driver: vfio-pci
          pciAddress: 0000:b0:00.2
        - deviceID: 0d5d
          driver: vfio-pci
          pciAddress: 0000:b0:00.3
        - deviceID: 0d5d
          driver: vfio-pci
          pciAddress: 0000:b0:00.4

1	The value `0d5c` is the `deviceID` physical function of the FEC device.
2	The value `0d5d` is the `deviceID` virtual function of the FEC device.

Verifying application pod access and ACC100 usage on OpenNESS

OpenNESS is an edge computing software toolkit that you can use to onboard and manage applications and network functions on any type of network.

To verify all OpenNESS features are working together, including SR-IOV binding, the device plugin, Wireless Base Band Device (bbdev) configuration, and SR-IOV (FEC) VF functionality inside a non-root pod, you can build an image and run a simple validation application for the device.

For more information, go to openess.org.

Prerequisites

Node or nodes installed with the OpenNESS SR-IOV Operator for Wireless FEC Accelerators.
Real-Time kernel and huge pages configured with the Performance Addon Operator.

Procedure

Create a namespace for the test by completing the following actions:
1. Define the test-bbdev namespace by creating a file named test-bbdev-namespace.yaml file as shown in the following example:
  apiVersion: v1 kind: Namespace metadata: name: test-bbdev labels: openshift.io/run-level: "1"
2. Create the namespace by running the following command:
  $ oc create -f test-bbdev-namespace.yaml

Create the following Pod specification, and then save the YAML in the pod-test.yaml file:

apiVersion: v1
kind: Pod
metadata:
  name: pod-bbdev-sample-app
  namespace: test-bbdev (1)
spec:
  containers:
  - securityContext:
      privileged: false
      capabilities:
        add:
        - IPC_LOCK
        - SYS_NICE
    name: bbdev-sample-app
    image: bbdev-sample-app:1.0  (2)
    command: [ "sudo", "/bin/bash", "-c", "--" ]
    runAsUser: 0 (3)
    resources:
      requests:
        hugepages-1Gi: 4Gi (4)
        memory: 1Gi
        cpu: "4" (5)
        intel.com/intel_fec_acc100: '1' (6)
      limits:
        memory: 4Gi
        cpu: "4"
        hugepages-1Gi: 4Gi
        intel.com/intel_fec_acc100: '1'

1	Specify the `namespace` you created in step 1.
2	This defines the test image containing the compiled DPDK.
3	Make the container execute internally as the root user.
4	Specify hugepage size `hugepages-1Gi` and the quantity of hugepages that will be allocated to the pod. Hugepages and isolated CPUs need to be configured using the Performance Addon Operator.
5	Specify the number of CPUs.
6	Testing of the ACC100 5G FEC configuration is supported by `intel.com/intel_fec_acc100`.

Create the pod:
```
$ oc apply -f pod-test.yaml
```

Check that the pod is created:

$ oc get pods -n test-bbdev

Example output

NAME                                            READY           STATUS          RESTARTS        AGE
pod-bbdev-sample-app                            1/1             Running         0               80s

Use a remote shell to log in to the pod-bbdev-sample-app:
```
$ oc rsh pod-bbdev-sample-app
```
Example output
```
sh-4.4#
```
Print the VF allocated to the pod:
```
sh-4.4# printenv | grep INTEL_FEC
```
Example output
```
PCIDEVICE_INTEL_COM_INTEL_FEC_ACC100=0.0.0.0:1d.00.0 (1)
```
1 This is the PCI address of the virtual function.
Change to the test-bbdev directory.
```
sh-4.4# cd test/test-bbdev/
```
Check the CPUs that are assigned to the pod:
```
sh-4.4# export CPU=$(cat /sys/fs/cgroup/cpuset/cpuset.cpus)
sh-4.4# echo ${CPU}
```
This prints out the CPUs that are assigned to the fec.pod.
Example output
```
24,25,64,65
```

Run the test-bbdev application to test the device:

sh-4.4# ./test-bbdev.py -e="-l ${CPU} -a ${PCIDEVICE_INTEL_COM_INTEL_FEC_ACC100}" -c validation \ -n 64 -b 32 -l 1 -v ./test_vectors/*"

Example output

Executing: ../../build/app/dpdk-test-bbdev -l 24-25,64-65 0000:1d.00.0 -- -n 64 -l 1 -c validation -v ./test_vectors/bbdev_null.data -b 32
EAL: Detected 80 lcore(s)
EAL: Detected 2 NUMA nodes
Option -w, --pci-whitelist is deprecated, use -a, --allow option instead
EAL: Multi-process socket /var/run/dpdk/rte/mp_socket
EAL: Selected IOVA mode 'VA'
EAL: Probing VFIO support...
EAL: VFIO support initialized
EAL:   using IOMMU type 1 (Type 1)
EAL: Probe PCI driver: intel_fpga_5ngr_fec_vf (8086:d90) device: 0000:1d.00.0 (socket 1)
EAL: No legacy callbacks, legacy socket not created



===========================================================
Starting Test Suite : BBdev Validation Tests
Test vector file = ldpc_dec_v7813.data
Device 0 queue 16 setup failed
Allocated all queues (id=16) at prio0 on dev0
Device 0 queue 32 setup failed
Allocated all queues (id=32) at prio1 on dev0
Device 0 queue 48 setup failed
Allocated all queues (id=48) at prio2 on dev0
Device 0 queue 64 setup failed
Allocated all queues (id=64) at prio3 on dev0
Device 0 queue 64 setup failed
All queues on dev 0 allocated: 64
+ ------------------------------------------------------- +
== test: validation
dev:0000:b0:00.0, burst size: 1, num ops: 1, op type: RTE_BBDEV_OP_LDPC_DEC
Operation latency:
        avg: 23092 cycles, 10.0838 us
        min: 23092 cycles, 10.0838 us
        max: 23092 cycles, 10.0838 us
TestCase [ 0] : validation_tc passed
 + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +
 + Test Suite Summary : BBdev Validation Tests
 + Tests Total :        1
 + Tests Skipped :      0
 + Tests Passed :       1 (1)
 + Tests Failed :       0
 + Tests Lasted :       177.67 ms
 + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +

1	While some tests can be skipped, be sure that the vector tests pass.

Additional resources

OpenNESS Operator for Wireless FEC Accelerators