pipelined AFTAB

A pipelined version of the AFTAB core described below. The implementation details are provided as comments within the code, showing where the original functionalities have been modified to ensure proper integration with the new ones. A brief summary of the new features has been written as well, in order to highlight the ideas which drove the development process and how they were refined over time. The original project can be found here.

CNL_RISC-V - AFTAB

32-bit RV32IM RISC-V core

AFTAB is an implementation for the RV32IM RISC-V ISA and it is the first microprocessor architecture implementation inside the CNL_RISC-V project, which links together the CINI Cybersecurity National Laboratory and the University of Tehran.

AFTAB is an in-order, single-issue core with sequential stages and it has full support for the base integer instruction set (RV32I) and multiplication instruction set extension (RV32M). It implements a subset of the 1.9 privileged specification.

Documentation and Requirements

All the detailed documentation, as well as requirements for installing software toolchain and simulate AFTAB is in the manual, under the folder /doc.

Running simulations

The software is built using CMake. Create a build folder somewhere, e.g. in the /sw folder:

mkdir build

Copy the cmake-configure.aftab.gcc.sh bash script to the build folder. This script can be found in the /sw subfolder of the repository.

Modify the cmake-configure.aftab.gcc.sh script to your needs and execute it inside the build folder. This will setup everything to perform simulations using ModelSim.

Inside the build folder, execute

make vcompile

to compile the RTL libraries using ModelSim.

To run a simulation in the ModelSim GUI, use

make helloworld.vsim

To run simulations in the ModelSim console, use

make helloworld.vsimc

Replace helloworld with the test/application you want to run.

Disclaimer and Copyright

The project is always running. This is the 1.0 release. Further releases will be done in the future.
The project is released under LGPL v3.0 ( https://www.gnu.org/licenses/lgpl-3.0.txt ). Copyright (C) 2022 CINI Cybersecurity National Laboratory and University of Teheran.