Title
SoC Testing Using LFSR Reseeding, and Scan-Slice- Based TAM Optimization and Test Scheduling
Abstract
We present an SoC testing approach that integrates test data compression, TAM/test wrapper design, and test scheduling. An improved LFSR reseeding technique is used as the compression engine. All cores on the SoC share a single on-chip LFSR. At any clock cycle, one or more cores can simultaneously receive data from the LFSR. Seeds for the LFSR are computed from the core bits from the test cubes for multiple cores. We also propose a scan-slice-based scheduling algorithm that tries to maximize the number of core bits the LFSR can produce at each clock cycle, such that the overall test application time is minimized. Experimental results for both ISCAS circuits and industrial circuits show that optimal test application time, which is determined by the largest core, can be achieved. The proposed approach has small hardware overhead and is easy to deploy. Only one LFSR, one phase shifter, and a few counters should be added to the SoC. The scheduling algorithm is also scalable for large industrial circuits. The CPU time for a large industrial design ranges from 1 to 30 minutes
Year
DOI
Venue
2007
10.1109/DATE.2007.364591
DATE
Keywords
Field
DocType
scan-slice-based tam optimization,lfsr reseeding technique,integrated circuit testing,test scheduling,scan-slice-based scheduling algorithm,clock cycle,soc testing,counters,data compression,phase shifter,circuit optimisation,overall test application time,test wrapper design,improved lfsr reseeding technique,shift registers,on-chip lfsr,care bit,system-on-chip,tam optimization,1 to 30 mins,industrial circuits,optimal test application time,test cube,linear feedback shift register,cpu time,test data compression,logic testing,hardware,image processing,scheduling algorithm,lossless compression,job shop scheduling,engines,integration testing,industrial design,system on chip,chip
Shift register,Central processing unit,Job shop scheduling,System on a chip,Computer science,Scheduling (computing),Parallel computing,Real-time computing,Cycles per instruction,Data compression,Lossless compression
Conference
ISBN
Citations 
PageRank 
978-3-9810801-2-4
4
0.49
References 
Authors
11
3
Name
Order
Citations
PageRank
Zhanglei Wang122014.12
K Chakrabarty28173636.14
Seongmoon Wang360548.50