BDD-based error metric analysis, computation and optimization
O Keszocze - IEEE Access, 2022 - ieeexplore.ieee.org
Approximate Computing is a design paradigm that trades off computational accuracy for
gains in non-functional aspects such as reduced area, increased computation speed, or …
gains in non-functional aspects such as reduced area, increased computation speed, or …
Accuracy and size trade-off of a cartesian genetic programming flow for logic optimization
Logic synthesis tools face tough challenges when providing algorithms for synthesizing
circuits with increased inputs and complexity. Traditional approaches for logic synthesis …
circuits with increased inputs and complexity. Traditional approaches for logic synthesis …
Correct and Verify—CAV: Exploiting Binary Decision Diagrams to Enable Formal Verification of Approximate Adders With Correct Carry Bits
Approximate adders have received significant attention as they give benefits in power,
performance, and area for error-resilient applications. Due to their ubiquitous use, formal …
performance, and area for error-resilient applications. Due to their ubiquitous use, formal …
Approximate logic synthesis by genetic algorithm with an error rate guarantee
CT Lee, YT Li, YC Chen, CY Wang - Proceedings of the 28th Asia and …, 2023 - dl.acm.org
Approximate computing is an emerging design technique for error-tolerant applications,
which may improve circuit area, delay, or power consumption by trading off a circuit's …
which may improve circuit area, delay, or power consumption by trading off a circuit's …
Two-Level and Multilevel Approximate Logic Synthesis
Approximate computing represents a modern design paradigm that allows systems to have
imprecise or inexact execution, aiming to optimize circuit area, performance, and power …
imprecise or inexact execution, aiming to optimize circuit area, performance, and power …
Usable circuits with imperfect scan logic
I Pomeranz - 2022 IEEE 31st Asian Test Symposium (ATS), 2022 - ieeexplore.ieee.org
The approximate computing paradigm supports yield improvement by allowing imperfect
components to be used for computations that can tolerate imprecision. Applying the same …
components to be used for computations that can tolerate imprecision. Applying the same …
Probability-based dse of approximated lut-based fpga designs
We present a novel simulation-free Design Space Exploration (DSE)-based methodology for
approximating Look-Up Table (LUT)-based Field-Programmable Gate Array (FPGA) …
approximating Look-Up Table (LUT)-based Field-Programmable Gate Array (FPGA) …
A CGP-based logic flow: optimizing accuracy and size of approximate circuits
Logic synthesis tools face tough challenges when providing algorithms for synthesizing
circuits with increased inputs and complexity. Machine learning techniques show high …
circuits with increased inputs and complexity. Machine learning techniques show high …
Evaluation of Digital Circuit Design by Combining Two-and Multi-Level Approximate Logic Synthesis
Approximate circuits are emerging as an alternative to save area, delay, and power
consumption in error-resilient applications such as machine learning, computer vision, and …
consumption in error-resilient applications such as machine learning, computer vision, and …
A Survey of Reliability Issues Related to Approximate Circuits
Z Wang, RC Xu, JC Chen, J **ao - Journal of Computer Science and …, 2023 - Springer
As one of the most promising paradigms of integrated circuit design, the approximate circuit
has aroused widespread concern in the scientific community. It takes advantage of the …
has aroused widespread concern in the scientific community. It takes advantage of the …