ri5cy by drossi
OpenHW Group CORE-V CV32E40P RISC-V IP
CV32E40P is a small and efficient, 32-bit, in-order RISC-V core with a 4-stage pipeline that implements the RV32IM[F]C instruction set architecture, and the Xpulp custom extensions for achieving higher code density, performance, and energy efficiency , . It started its life as a fork of the OR10N CPU core that is based on the OpenRISC ISA. Then, under the name of RI5CY, it became a RISC-V core (2016), and it has been maintained by the PULP platform team until February 2020, when it has been contributed to OpenHW Group.
The CV32E40P user manual can be found in this repository.
We highly appreciate community contributions. We are currently using the lowRISC contribution guide. To ease our work of reviewing your contributions, please:
- Create your own fork to commit your changes and then open a Pull Request.
- Split large contributions into smaller commits addressing individual changes or bug fixes. Do not mix unrelated changes into the same commit!
- Write meaningful commit messages. For more information, please check out the the Ibex contribution guide.
- If asked to modify your changes, do fixup your commits and rebase your branch to maintain a clean history.
When contributing SystemVerilog source code, please try to be consistent and adhere to the lowRISC Verilog coding style guide.
To get started, please check out the "Good First Issue" list.
Issues and Troubleshooting
If you find any problems or issues with CV32E40P or the documentation, please check out the issue tracker and create a new issue if your problem is not yet tracked.
Gautschi, Michael, et al. "Near-Threshold RISC-V Core With DSP Extensions for Scalable IoT Endpoint Devices." in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 25, no. 10, pp. 2700-2713, Oct. 2017
Schiavone, Pasquale Davide, et al. "Slow and steady wins the race? A comparison of ultra-low-power RISC-V cores for Internet-of-Things applications." 27th International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS 2017)
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