epix-hr-m-320k

Before you clone the GIT repository

1. Create a github account:

https://github.com/

2. On the Linux machine that you will clone the github from, generate a SSH key (if not already done)

https://help.github.com/articles/generating-a-new-ssh-key-and-adding-it-to-the-ssh-agent/

3. Add a new SSH key to your GitHub account

https://help.github.com/articles/adding-a-new-ssh-key-to-your-github-account/

4. Setup for large filesystems on github (one-time operation)

$ git lfs install

Clone the GIT repository

$ git clone --recursive [email protected]:slaclab/epix-hr-m-320k.git

How to build the firmware

1. Setup Xilinx licensing

$ source epix-hr-m-320k/firmware/setup_env_slac.sh

2. If not done yet, make a symbolic link to the firmware/

$ ln -s /u1/$USER/build epix-hr-m-320k/firmware/build

3. Go to the target directory and make the firmware:

$ cd epix-hr-m-320k/firmware/targets/ePixHRM320k/
$ make

4. Optional: Review the results in GUI mode

$ make gui

How to run simulation

1. Setup Xilinx licensing

$ source epix-hr-m-320k/firmware/setup_env_slac.sh

2. If not done yet, make a symbolic link to the firmware/

$ ln -s /u1/$USER/build epix-hr-m-320k/firmware/build

3. Go to the target directory and make the firmware:

$ cd epix-hr-m-320k/firmware/targets/ePixHRM320k/
$ make vcs

4. Execute the instructions provided by the previous command give that it finished successfully.

5. In a new terminal run Rogue source script

$ source epix-hr-m-320k/software/setup_env_slac.sh

6. Run the python software

$ cd epix-hr-m-320k/software/scripts
$ python devGui.py --dev sim

LEAP Transceiver Mapping

Lane[7:0] : serving core
Lane[11:8] : serving app


Lane[0].VC[0] = Data[0]
Lane[1].VC[0] = Data[1]
Lane[2].VC[0] = Data[2]
Lane[3].VC[0] = Data[3]
Lane[4].VC[0] = Spare
Lane[5].VC[0] = SRPv3
Lane[5].VC[1] = software trigger (ssiCmd)
Lane[5].VC[2] = XVC
-Lane[6].VC[0] = slow monitoring[1:0]
-    [1] = Power and Communication Board
-    [0] = Digital Board
Lane[7].VC[3:0] = o-scope[3:0]
Lane[10:8] = Reserved for edgeML
Lane[11] = LCLS-II Timing