Software-Based Self-Test (SBST) approaches are an effective solution for detecting permanent faults; this technique has been widely used with a good success on generic processors and processors-based architectures; however, when VLIW processors are addressed, traditional SBST techniques and algorithms must be adapted to each particular VLIW architecture. In this paper, we present a method that formalizes the development flow to write effective SBST programs for VLIW processors, starting from known algorithms addressing traditional processors. In particular, the method addresses the parallel Functional Units, such as ALUs and MULs, embedded into a VLIW processor. Fault simulation campaigns confirm the validity of the proposed method.
On the development of Software-Based Self-Test methods for VLIW processors / Sabena, Davide; SONZA REORDA, Matteo; Sterpone, Luca. - ELETTRONICO. - (2012), pp. 25-30. (Intervento presentato al convegno Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT), 2012 IEEE International Symposium on tenutosi a Austin, TX, USA nel October, 2012.) [10.1109/DFT.2012.6378194].
On the development of Software-Based Self-Test methods for VLIW processors
SABENA, DAVIDE;SONZA REORDA, Matteo;STERPONE, Luca
2012
Abstract
Software-Based Self-Test (SBST) approaches are an effective solution for detecting permanent faults; this technique has been widely used with a good success on generic processors and processors-based architectures; however, when VLIW processors are addressed, traditional SBST techniques and algorithms must be adapted to each particular VLIW architecture. In this paper, we present a method that formalizes the development flow to write effective SBST programs for VLIW processors, starting from known algorithms addressing traditional processors. In particular, the method addresses the parallel Functional Units, such as ALUs and MULs, embedded into a VLIW processor. Fault simulation campaigns confirm the validity of the proposed method.Pubblicazioni consigliate
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https://hdl.handle.net/11583/2503108
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