A Genetic-Algorithm Approach to Architectural-Level Justification of Precomputed Vectors

Coordinated Science Laboratory was formerly known as Control Systems LaboratorySemiconductor Research Corporation / SRC 95-DP-109DARPA / DABT63-95-C-0069Hewlett-Packar

Automatic Generation of Instruction Sequences for Testing Microprocessors

Coordinated Science Laboratory was formerly known as Control Systems LaboratorySemiconductor Research Corporation / SRC 91-DP-10

Hierarchical Delay Test Generation

Delay testing is used to detect timing errors in a digital circuit.In this paper, we report a tool called MODET forautomatic test generation for path delay faults in modular combinational circuits. Our technique usesprecomputed robust delay tests for individual modules to computerobust delay tests for the module-level circuit. We present alongest path theorem at the module level ofabstraction which specifies the requirements for path selectionduring delay testing. Based on this theorem, we propose a pathselection procedure in module-level circuits and report efficientalgorithms for delay test generation. MODET hasbeen tested against a number of hierarchical circuits with impressivespeedups in relation to gate-level test generation.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/43008/1/10836_2004_Article_134357.pd

Detection of hard faults in combinational logic circuits

ABSTRACT: Previous Work in identifying hard to test faults (HFs) -- The effect of reconvergent fanout and redundancy -- Testability measures (TMs)Using of ATPGs to detect HFs -- Previous use of cost in Testability analysis -- Review of automatic test pattern generation (ATPG) -- Fault modelling -- Single versus multiple path sensitization -- The four ATPG phases of deterministic gate level test generation -- Random test pattern generation and hybrid methods -- Review of the fan algorithm -- Backtrack reduction methods and the importance of heuristics -- Mixed graph -- binary decision diagram (GBDD) circuit model -- A review of graph techniques -- A review of binary decisions diagrams (BDDs) techniques -- gBDD -- graph binary decision diagrams -- Detection of hard faults using HUB -- Introduction to budgetary constraints -- The HUB algorithm -- Important HUB attributes -- Circuits characteristics of used for results -- Comparison of gBDD -- ATPG related results -- Fault simulation related results -- Hard fault detection