Details
| Original language | English |
|---|---|
| Title of host publication | 2020 IEEE 2nd International Conference on Electronics, Control, Optimization and Computer Science, ICECOCS 2020 |
| Pages | 1-6 |
| Number of pages | 6 |
| ISBN (electronic) | 9781728169217 |
| Publication status | Published - 2020 |
Abstract
With shrinking technology dimensions and the demand for low voltage and low power circuits the functional safety margins decrease. This makes the accurate analysis of circuit properties under parameter variations extremely important. Many research has been done in this field for specific problems. Disadvantages of previous approaches are the lack of generality, inefficiency or the absence of methods for general circuit analysis. This paper continues the idea of a general probability distribution arithmetic. We present a method for calculating with random values as simple as with regular numbers. For the first time a method for solving implicit nonlinear equations using this arithmetic is presented. This enables general circuit analysis using the random value arithmetic. Results show that our implementation outperforms the state of the art by orders of magnitudes and allows calculations with 100 independent random values efficiently.
Keywords
- Arithmetic, Circuit simulation, Random values, Variability
ASJC Scopus subject areas
- Computer Science(all)
- Artificial Intelligence
- Computer Science(all)
- Computer Networks and Communications
- Computer Science(all)
- Computer Science Applications
- Engineering(all)
- Electrical and Electronic Engineering
- Mathematics(all)
- Control and Optimization
- Physics and Astronomy(all)
- Instrumentation
Cite this
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2020 IEEE 2nd International Conference on Electronics, Control, Optimization and Computer Science, ICECOCS 2020. 2020. p. 1-6 9314534.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Extended Probability Distribution Arithmetic
AU - Olbrich, Markus
PY - 2020
Y1 - 2020
N2 - With shrinking technology dimensions and the demand for low voltage and low power circuits the functional safety margins decrease. This makes the accurate analysis of circuit properties under parameter variations extremely important. Many research has been done in this field for specific problems. Disadvantages of previous approaches are the lack of generality, inefficiency or the absence of methods for general circuit analysis. This paper continues the idea of a general probability distribution arithmetic. We present a method for calculating with random values as simple as with regular numbers. For the first time a method for solving implicit nonlinear equations using this arithmetic is presented. This enables general circuit analysis using the random value arithmetic. Results show that our implementation outperforms the state of the art by orders of magnitudes and allows calculations with 100 independent random values efficiently.
AB - With shrinking technology dimensions and the demand for low voltage and low power circuits the functional safety margins decrease. This makes the accurate analysis of circuit properties under parameter variations extremely important. Many research has been done in this field for specific problems. Disadvantages of previous approaches are the lack of generality, inefficiency or the absence of methods for general circuit analysis. This paper continues the idea of a general probability distribution arithmetic. We present a method for calculating with random values as simple as with regular numbers. For the first time a method for solving implicit nonlinear equations using this arithmetic is presented. This enables general circuit analysis using the random value arithmetic. Results show that our implementation outperforms the state of the art by orders of magnitudes and allows calculations with 100 independent random values efficiently.
KW - Arithmetic
KW - Circuit simulation
KW - Random values
KW - Variability
UR - http://www.scopus.com/inward/record.url?scp=85100096334&partnerID=8YFLogxK
U2 - 10.1109/icecocs50124.2020.9314534
DO - 10.1109/icecocs50124.2020.9314534
M3 - Conference contribution
SN - 978-1-7281-6922-4
SP - 1
EP - 6
BT - 2020 IEEE 2nd International Conference on Electronics, Control, Optimization and Computer Science, ICECOCS 2020
ER -