CVA5 is a configurable 32-bit RISC-V soft processor designed specifically for FPGA implementation. Derived from Simon Fraser University's Taiga project, it supports RV32IMAFD and uses parallel, variable-latency execution units so new functional units can be added without forcing every operation into one fixed latency. It is best suited to FPGA architecture research and custom processor prototyping; its completed TRL-3 status means it should be evaluated as a research-ready platform rather than a currently advancing production core.
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Designing an IEEE-Compliant FPU that Supports Configurable Precision for Soft Processors
Chris Keilbart et al.
ACM Transactions on Reconfigurable Technology and Systems, 2024
View PaperRethinking Integer Divider Design for FPGA-Based Soft-Processors
Eric Matthews et al.
IEEE FCCM, 2019
View PaperVerified adoption, contributor and lineage records, educational use, presentations, articles, and ecosystem data will be added incrementally from named sources.
CVA6 is a configurable six-stage, in-order CORE-V processor family for 32-bit and 64-bit embedded and application-class systems. Its RTL includes both single-issue configurations, such as CV32A60X, and dual-issue configurations, such as CV32A65X. ISA extensions, privilege modes, and virtual memory depend on the selected configuration: application configurations can run Linux, while the embedded CV32A60X and CV32A65X configurations have no MMU or S/U modes. The repository brings together processor RTL, verification, FPGA integration, and documentation for engineers evaluating a core or exploring custom extensions through CV-X-IF.
CVW, also known as CORE-V Wally, is a configurable five-stage SystemVerilog RISC-V processor that spans minimal RV32E designs through feature-rich RV64GC application processors. It combines a broad extension set with optional caches, branch prediction, virtual memory, and standard platform peripherals, and it can boot Linux on FPGA. Its close connection to the RISC-V System-on-Chip Design textbook, examples, and regression flows makes it especially approachable for students while retaining enough configurability for architecture and SoC research.