Effective Pre-Silicon Verification of Processor Cores by Breaking the Bounds of Symbolic Quick Error Detection

TL;DR

This paper introduces an enhanced symbolic quick error detection method for pre-silicon verification of processor cores, enabling early bug detection, including long-trace bugs and hardware Trojans, by extending BMC with symbolic starting states and constraints.

Contribution

The paper presents a novel extension of SQED with symbolic starting states and constraints, improving bug detection capabilities in processor verification.

Findings

Successfully detected previously unknown bugs in open-source RISC-V cores.

Outperformed existing methods in detecting long-trace bugs.

Effectively identified hardware Trojans in processor designs.

Abstract

We present a novel approach to pre-silicon verification of processor designs. The purpose of pre-silicon verification is to find logic bugs in a design at an early stage and thus avoid time- and cost-intensive post-silicon debugging. Our approach relies on symbolic quick error detection (Symbolic QED, or SQED). SQED is targeted at finding logic bugs in a symbolic representation of a design by combining bounded model checking (BMC) with QED tests. QED tests are powerful in generating short sequences of instructions (traces) that trigger bugs. We extend an existing SQED approach with symbolic starting states. This way, we enable the BMC tool to select starting states arbitrarily when generating a trace. To avoid false positives, (e.g., traces starting in unreachable states that may not be-have in accordance with the processor instruction-set architecture), we define constraints to restrict the set of possible starting states. We demonstrate that these constraints, togeth-er with reasonable assumptions about the system behavior, allow us to avoid false positives. Using our approach, we discovered previously unknown bugs in open-source RISC-V processor cores that existing methods cannot detect. Moreover, our novel approach out-performs existing ones in the detection of bugs having long traces and in the detection of hardware Trojans, i.e., unauthorized modifications of a design.