Multi-Hart Systems

Concept

Multi-hart systems are identified in the evidence as complex RISC-V implementations that require scalable, reproducible verification methods. A hybrid flow using constrained-random STING stimulus, directed ImperasTS suites, ImperasDV lock-step compare, and portable self-checking tests is presented as applicable from simple embedded cores through complex multi-hart systems.

First seen 5/26/2026

Last seen 5/26/2026

Evidence 1 chunks

Wiki v1

WIKI

Overview

In the provided RISC-V verification context, multi-hart systems are referenced as the complex end of a verification scalability range: the described methodology is said to scale "from simple embedded cores to complex multi-hart systems." The same evidence frames this scalability as part of a broader hybrid verification approach using random stimulus, directed tests, reproducible regressions, and portable test execution across implementation platforms.

Verification approach

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RELATIONSHIPS

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Hybrid Verification Methodology ← evaluates 88% 1e

The hybrid methodology scales to support complex multi-hart system verification.

LINKED ENTITIES

5 links

RISC-V verification_context The evidence discusses multi-hart systems in the context of RISC-V processor verification and RISC-V design validation.

STING used_for_constrained_random_verification The evidence states that STING provides constrained-random stimulus and portable self-checking programs for RISC-V verification.

ImperasTS used_for_directed_test_suites The evidence identifies ImperasTS as directed suites used for compliance, feature coverage, and coverage closure.

ImperasDV used_for_lock_step_compare The evidence states that ImperasDV enables lock-step compare with architecturally self-checking tests for early mismatch detection.

ImperasSC used_for_pre_rtl_coverage_analysis The evidence states that ImperasSC enables pre-RTL coverage analysis and supports shift-left validation.

CITATIONS

7 sources

7 citations — click to expand

[1] The verification methodology scales from simple embedded cores to complex multi-hart systems. source

[2] A hybrid RISC-V verification approach combines constrained-random stimulus from STING with directed ImperasTS suites to improve coverage closure. source

[3] Logged seeds and directed reruns support reproducibility across regression cycles. source

[4] ImperasDV lock-step compare runs RTL and a golden reference model in parallel and compares results at instruction retirement for early bug detection. source

[5] STING generates portable, self-checking RISC-V programs that can run across simulation, emulation, FPGA prototypes, and silicon. source

[6] ImperasSC enables pre-RTL coverage analysis and supports shift-left validation. source

[7] The described flow supports RISC-V profiles RVA22 and RVA23 and covers privilege-related specifications including MMU, PMP, hypervisor, and vector extensions. source