A fast spatial variation modeling algorithm for efficient test cost reduction of analog/RF circuits

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2015

Autores

Gonçalves, HugoR. (Autor) Outra; Li, Xin (Autor) Outra; Correia, M. V. (Autor) FEUP; Tavares, Vitor (Autor) Outra; Jr., JohnM.Carulli (Autor) Outra; Butler, KennethM. (Autor) Outra

Ata de Conferência Internacional

Título: Proceedings -Design, Automation and Test in Europe, DATE

Páginas: 1042-1047

2015 Design, Automation and Test in Europe Conference and Exhibition, DATE 2015

9 March 2015 through 13 March 2015

Indexação

Scopus - 5 Citações

Outras Informações

ID Authenticus: P-00G-TQ9

Abstract (EN): In this paper, we adopt a novel numerical algorithm, referred to as dual augmented Lagrangian method (DALM), for efficient test cost reduction based on spatial variation modeling. The key idea of DALM is to derive the dual formulation of the L1-regularized least-squares problem posed by Virtual Probe (VP), which can be efficiently solved with substantially lower computational cost than its primal formulation. In addition, a number of unique properties associated with discrete cosine transform (DCT) are exploited to further reduce the computational cost of DALM. Our experimental results of an industrial RF transceiver demonstrate that the proposed DALM solver achieves up to 38× runtime speed-up over the conventional interior-point solver without sacrificing any performance on escape rate and yield loss for test applications. © 2015 EDAA.

Idioma: Inglês

Tipo (Avaliação Docente): Científica