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F1 Execution

To run C/C++ applications on F1, build an AMI & AFI (instructions below), and then run make regression inside of bsg_replicant on the generated AMI.

Build an Amazon FPGA Image (AFI)

These steps will build the FPGA image and upload it to AWS. FPGA_IMAGE_VERSION will be used as the value for the 'Version' key in AFI Tags. The new AFI/AGFI IDs are printed on the command line and in upload.json.

To run these steps, you will need to install the Amazon Web Services Command Line Interface (CLI) and configure it for your user account.

  1. Clone this repository.

  2. Update the FPGA_IMAGE_VERSION variable in project.mk to avoid naming conflicts. (FPGA_IMAGE_VERSION will be used as the value for the 'Version' key in the AMI and AFI Tags.)

  3. Run make build-afi from inside this repository.

The new AFI/AGFI IDs are printed on the command line and in upload.json.

Build an Amazon Machine Image (AMI)

These steps will build the Machine image and upload it to AWS. FPGA_IMAGE_VERSION will be used as the value for the 'Version' key in AMI Tags.

To run these steps, you will need to install the Amazon Web Services Command Line Interface (CLI) and configure it for your user account.

  1. Clone this repository.

  2. Update the FPGA_IMAGE_VERSION variable in project.mk to avoid naming conflicts. (FPGA_IMAGE_VERSION will be used as the value for the 'Version' key in the AMI and AFI Tags.)

  3. Commit changes and push to a branch. (This step is critical!)

  4. Run make build-ami from inside this repository.