Title :
Input-aware statistical timing analysis for VLSI delay test and average design
Author_Institution :
Electr. & Comput. Eng. Dept., Univ. of Texas at San Antonio, San Antonio, TX, USA
Abstract :
Nanoscale VLSI systems are subject to an ever increasing performance variability, which hinders performance scaling and increases verification complexity. In this paper, we study an often neglected source of performance variability, namely logic inputs or system workload. We present input-aware statistical timing analysis, which gives not only critical path delays but also critical path activating input patterns and critical path activation probabilities. We further present its applications in delay test for improved fault coverage and better-than-worst-case design for improved average performance.
Keywords :
VLSI; integrated circuit design; integrated circuit testing; probability; statistical analysis; VLSI average design; VLSI delay test; critical path activating input patterns; critical path activation probability; critical path delays; fault coverage; input-aware statistical timing analysis; logic inputs; nanoscale VLSI systems; performance variability; system workload; verification complexity; Delays; Design automation; Logic gates; Monte Carlo methods; Probability; Very large scale integration;
Conference_Titel :
Circuits and Systems (MWSCAS), 2014 IEEE 57th International Midwest Symposium on
Conference_Location :
College Station, TX
Print_ISBN :
978-1-4799-4134-6
DOI :
10.1109/MWSCAS.2014.6908587