Given the stringent requirements of energy efficiency for Internet-of-Things edge devices,
approximate multipliers, as a basic component of many processors and accelerators, have …

Advanced computing systems have long been enablers for breakthroughs in artificial
intelligence (AI) and machine learning (ML) algorithms, either through sheer computational …

The focus of existing designs on approximate radix-8 Booth multipliers has been on ASIC-
based platforms. These multipliers are based on an approximation as defined for ASIC …

Approximate arithmetic operators, such as adders and multipliers, are increasingly used to
satisfy the energy and performance requirements of resource-constrained embedded …

Approximate computing (AxC) is being widely researched as a viable approach to deploying
compute-intensive artificial intelligence (AI) applications on resource-constrained embedded …

Approximate computing (AxC) provides the scope for achieving disproportionate gains in a
system's power, performance, and area (PPA) metrics by leveraging an application's …

The main focus of approximate dividers has been on ASIC-based designs. However, for
emerging applications, there is a need to design approximate arithmetic units compatible …

With rising trends of moving AI inference to the edge, due to communication and privacy
challenges, there has been a growing focus on designing low-cost Edge-AI. Given the …

Due to their run-time reconfigurability, short time-to-market, and lower prototype costs,
FPGAs have become increasingly popular since their introduction. They found use in a wide …

We propose AMG, an open-source automated approximate multiplier generator for FPGAs
driven by Bayesian optimization (BO) with parallel evaluation. The proposed method …