SELGJun 19, 2024

Detecting Stimuli with Novel Temporal Patterns to Accelerate Functional Coverage Closure

arXiv:2407.02510v14 citations
Originality Incremental advance
AI Analysis

This addresses a specific bottleneck in digital design verification, offering incremental improvements over existing test selectors.

The paper tackled the problem of detecting stimuli with novel temporal patterns to accelerate functional coverage closure in simulation-based verification, achieving a 26.9% reduction in simulated tests needed to reach 98.5% coverage for a commercial bus bridge.

Novel test selectors have demonstrated their effectiveness in accelerating the closure of functional coverage for various industrial digital designs in simulation-based verification. The primary advantages of these test selectors include performance that is not impacted by coverage holes, straightforward implementation, and relatively low computational expense. However, the detection of stimuli with novel temporal patterns remains largely unexplored. This paper introduces two novel test selectors designed to identify such stimuli. The experiments reveal that both test selectors can accelerate the functional coverage for a commercial bus bridge, compared to random test selection. Specifically, one selector achieves a 26.9\% reduction in the number of simulated tests required to reach 98.5\% coverage, outperforming the savings achieved by two previously published test selectors by factors of 13 and 2.68, respectively.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes