Approximate computing survey, Part I: terminology and software & hardware approximation techniques
The rapid growth of demanding applications in domains applying multimedia processing
and machine learning has marked a new era for edge and cloud computing. These …
and machine learning has marked a new era for edge and cloud computing. These …
Approximate multipliers using static segmentation: Error analysis and improvements
Approximate multipliers are used in error-tolerant applications, sacrificing the accuracy of
results to minimize power or delay. In this paper we investigate approximate multipliers …
results to minimize power or delay. In this paper we investigate approximate multipliers …
MACISH: Designing approximate MAC accelerators with internal-self-healing
Approximate computing studies the quality-efficiency trade-off to attain a best-efficiency (eg,
area, latency, and power) design for a given quality constraint and vice versa. Recently, self …
area, latency, and power) design for a given quality constraint and vice versa. Recently, self …
AxRMs: Approximate recursive multipliers using high-performance building blocks
Recursive multipliers (RMs) have been classified as a class of low-power multipliers
because they provide a wide-range of power-quality configuration options. 2× 2 multipliers …
because they provide a wide-range of power-quality configuration options. 2× 2 multipliers …
Approximate radix-8 booth multiplier for low power and high speed applications
Approximate computing is an emerging circuit design technique which reduce the energy
consumption with acceptable degradation in accuracy. Three approximate radix-8 Booth …
consumption with acceptable degradation in accuracy. Three approximate radix-8 Booth …
Design of approximate booth squarer for error-tolerant computing
To explore the benefits of approximate computing, this article proposes an approximate
partial product generator for squarer (APPGS). Using APPGS, three designs of approximate …
partial product generator for squarer (APPGS). Using APPGS, three designs of approximate …
Axrsu: Approximate radix-4 squarer unit
MMA Da Rosa, G Paim… - … on Circuits and …, 2022 - ieeexplore.ieee.org
Approximate computing emerged as a design alternative to boost design efficiency by
leveraging the intrinsic error resiliency of many applications. Several error-resilient and …
leveraging the intrinsic error resiliency of many applications. Several error-resilient and …
Small constant mean-error imprecise adder/multiplier for efficient VLSI implementation of MAC-based applications
MHS Javadi, MH Yalame… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Due to considerable effectiveness of the imprecise computing paradigm in hardware
implementation of many applications, great attention has been recently paid by many …
implementation of many applications, great attention has been recently paid by many …
A cross-layer approach towards developing efficient embedded deep learning systems
MA Hanif, M Shafique - Microprocessors and Microsystems, 2022 - Elsevier
With the evolution of Smart Cyber–Physical Systems (CPS) and Internet-of-Things (IoT), the
number of connected (intelligent) devices is increasing at an exponential rate, and so as the …
number of connected (intelligent) devices is increasing at an exponential rate, and so as the …
Enabling capsule networks at the edge through approximate softmax and squash operations
Complex Deep Neural Networks such as Capsule Networks (CapsNets) exhibit high
learning capabilities at the cost of compute-intensive operations. To enable their deployment …
learning capabilities at the cost of compute-intensive operations. To enable their deployment …