SoftCorner: Relaxation of Corner Values for Deterministic Static Timing Analysis of VLSI Systems
Author(s) -
Hyunjeong Kwon,
Jae Hoon Kim,
Seokhyeong Kang,
Young Hwan Kim
Publication year - 2018
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2018.2875474
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
We propose SoftCorner, which is a novel approach to estimate the worst delay (3σ delay) of a VLSI system. SoftCorner is a modification of deterministic static timing analysis to overcome its tendency to give pessimistic estimates of the system delays when it uses 3σ corner delays for logic gates. The basic idea of SoftCorner is to use corner delays that are relaxed to <;3σ. To select the relaxed gate delays, SoftCorner uses the delay information obtained from the K most-critical paths and then determines the degree of relaxation, and constructs a model that represents the probability that the delay of each logic gate is selected. This probability model is used to guide the selection of gate delays; the worst system delay with relaxed delay criterion can be obtained by running the selection module until the mean of the results converges. SoftCorner can also estimate the system delay at an arbitrary percentile. In experiments, SoftCorner estimated the system delay of benchmark circuits at 99.87th, 95th and 85th percentiles with an average error <;2% compared with the Monte-Carlo (MC) simulation, and produced the estimates 5.89 × 104 times faster than the MC simulation on average.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom