Definition
Architectural validation is the process of verifying that hardware or software implementations of a processor architecture conform to its formal specification. It typically involves comparing an implementation-under-test against a golden reference model — a trusted, ideally formally grounded model of the architecture whose behavior is considered authoritative.
Role in the RISC-V Ecosystem
In the RISC-V ecosystem, the Spike ISA Simulator has served as the de facto golden reference model since the early days of RISC-V and has been widely used in verification frameworks and architectural validation flows [1].
In recent years, the executable specification generated from Sail-RISC-V has increasingly been considered as a candidate for the next-generation golden reference, including for the highly configurable RISC-V Vector Extension (RVV). Sail-RISC-V's formally grounded specification approach motivates its adoption in architectural validation [1].
Challenges with Configurable Extensions
Validating implementations of extensions such as RVV is particularly difficult because:
- There are large numbers of specified instructions.
- Instruction behavior depends heavily on dynamic architectural parameters such as vector length, element width, masking, and register grouping.
- The effective state and parameter space of RVV instructions is orders of magnitude larger than that of scalar instructions [1].
Testing Strategies
Architectural validation for RISC-V vector implementations uses both positive and negative testing:
- Positive testing uses only valid, non-trapping instruction sequences to check conformance with the reference.
- Negative testing uses trap-triggering (invalid) instruction sequences to verify that implementations correctly raise exceptions and enforce architectural constraints [1].
In the Sail-RISC-V vs. Spike comparison, positive testing showed a low deviation rate (0.23%), while negative testing revealed substantially more deviations (3.73%), highlighting that architectural validation must address instruction-validity checking under dynamic configurations as well as functional behavior [1].
Tool Support
Automated testing frameworks such as RVVTS support systematic architectural validation by generating coverage-guided test sets, executing them against reference and implementation models, detecting deviations, and minimizing test cases for further analysis. Such frameworks are effective for detecting, minimizing, and analyzing deviations in RVV implementations [1].
Related Concept (Broader Use)
Beyond processor ISA verification, the term architecture validation also appears in enterprise software contexts, where it denotes a stage in control-driven lifecycles (such as secure SaaS onboarding) that validates system design against architectural and control requirements before subsequent identity, resilience, and governance stages [arxiv:2607.16543v1]. This distinct usage concerns organizational IT controls rather than processor conformance.
See Also
- Spike — historical de facto golden reference for RISC-V architectural validation.
References
- Schlägl, Ruep, and Große. Sail-RISC-V and Spike for RISC-V Vector: Toward Consistent Golden Reference Behavior. RISC-V Summit Europe, Johannes Kepler University Linz.
- Arxiv source on SaaS onboarding frameworks (for the enterprise IT usage of the term).