P-Complete Approximation Problems
Journal of the ACM (JACM)
Local Search in Combinatorial Optimization
Local Search in Combinatorial Optimization
Introducing Core-Based System Design
IEEE Design & Test
Optimal Vector Selection for Low Power BIST
DFT '99 Proceedings of the 14th International Symposium on Defect and Fault-Tolerance in VLSI Systems
ATPG for Heat Dissipation Minimization During Test Application
Proceedings of the IEEE International Test Conference on TEST: The Next 25 Years
Test vector decompression via cyclical scan chains and its application to testing core-based designs
ITC '98 Proceedings of the 1998 IEEE International Test Conference
VLSID '99 Proceedings of the 12th International Conference on VLSI Design - 'VLSI for the Information Appliance'
Test Data Compression for System-on-a-Chip Using Golomb Codes
VTS '00 Proceedings of the 18th IEEE VLSI Test Symposium
HITEC: a test generation package for sequential circuits
EURO-DAC '91 Proceedings of the conference on European design automation
ATE-Amenable Test Data Compression with No Cyclic Scan
DFT '03 Proceedings of the 18th IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
ICNVS'10 Proceedings of the 12th international conference on Networking, VLSI and signal processing
VLSI Design - Special issue on CAD for Gigascale SoC Design and Verification Solutions
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Vector reordering is an essential task in testing VLSI systems because it affects this process from two perspectives: power consumption and correlation among data. The former feature is crucial and if not properly controlled during testing, may result in permanent failure of the device-under-test (DUT). The atter feature is a so important because correlation is captured by coding schemes to efficiently compress test data and ease memory requirements of Automatic-Test-Equipment (ATE),while reducing the volume of data and lowering the test application time. Reordering however is NP-complete. This paper presents an evaluation of different heuristic techniques for vector reordering using ISCAS85 and ISCAS89 benchmark circuits in terms of time and quality. For this application, it is shown that the best heuristic technique is not the famous Christofides or Lin-Kernighan, but the Multi-Fragment technique.