The Segregated and Hybrid TBPSA algorithm with applications in SRF test pattern scheduling

In semiconductor manufacturing, the scan routing fabric (SRF) technology enables efficient hardware testing by concurrently running multiple test patterns. However, its total test time depends on the scheduling algorithm used. Current approaches rely on greedy algorithms which provide good but sub-optimal results. In this paper, we define the SRF test scheduling as an optimization problem, discuss its challenges, and propose a solution based on a combination of existing optimization algorithms.

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Publication Details

Journal
Proceedings of the Genetic and Evolutionary Computation Conference Companion
Published
2025-07-14
DOI
https://doi.org/10.1145/3712255.3726577
Primary Topic
VLSI and Analog Circuit Testing
Type
article
Field-Weighted Citation Impact
0.00
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article

The Segregated and Hybrid TBPSA algorithm with applications in SRF test pattern scheduling

Marius-Octavian Bulhac, Eugen-Nicolae Croitoru
Proceedings of the Genetic and Evolutionary Computation Conference Companion
VLSI and Analog Circuit Testing
article

The Segregated and Hybrid TBPSA algorithm with applications in SRF test pattern scheduling

Marius-Octavian Bulhac, Eugen-Nicolae Croitoru
article en

Abstract

In semiconductor manufacturing, the scan routing fabric (SRF) technology enables efficient hardware testing by concurrently running multiple test patterns. However, its total test time depends on the scheduling algorithm used. Current approaches rely on greedy algorithms which provide good but sub-optimal results. In this paper, we define the SRF test scheduling as an optimization problem, discuss its challenges, and propose a solution based on a combination of existing optimization algorithms.

Proceedings of the Genetic and Evolutionary Computation Conference Companion
Alexandru Ioan Cuza University (RO), Advanced Micro Devices (United States) (US)
Openalex Percentile: Top 50%
VLSI and Analog Circuit Testing
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