GPU-based n-detect transition fault ATPG

GPU-based n-detect transition fault ATPG

This is a massively parallel ATPG that explores device-level, block-level and word-level parallelism in GPU. Eight-detect transition fault ATPG experiments on large benchmark circuits show that our technique achieved 5.6 and 1.6 times speedup compared with a single-core and 8-core CPU commercial too...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Liao, Kuan-Yu, Hsu, Sheng-Chang, Li, James Chien-Mo
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Automatic test pattern generation
Circuit faults
Cloning
Computing methodologies > Computer graphics > Graphics systems and interfaces > Graphics processors
GPU
Graphics processing units
Hardware > Hardware test
Hardware > Hardware validation
Hardware > Robustness
Instruction sets
Kernel
Logic gates
N-detect
parallel
test generation
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Beschreibung
Zusammenfassung:This is a massively parallel ATPG that explores device-level, block-level and word-level parallelism in GPU. Eight-detect transition fault ATPG experiments on large benchmark circuits show that our technique achieved 5.6 and 1.6 times speedup compared with a single-core and 8-core CPU commercial tool, respectively. Test patterns selected from our test set are about the same length and quality as those selected from commercial N-detect ATPG. To the best of our knowledge, this is the first proposed GPU-based ATPG algorithm.
ISSN:0738-100X
DOI:10.1145/2463209.2488769