Recent advancements in hardware and software systems have been driven by the
deployment of emerging smart health and mobility applications. These developments have …

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 …

In this paper, we propose four 4: 2 compressors, which have the flexibility of switching
between the exact and approximate operating modes. In the approximate mode, these dual …

Current research in the area of Neural Networks (NN) has resulted in performance
advancements for a variety of complex problems. Especially, embedded system applications …

This paper presents approximate multipliers which are efficiently deployed on Field
Programmable Gate Arrays (FPGAs) by using newly proposed approximate logic …

The challenging deployment of compute-intensive applications from domains such as
Artificial Intelligence (AI) and Digital Signal Processing (DSP), forces the community of …

In this brief, a low energy consumption block-based carry speculative approximate adder is
proposed. Its structure is based on partitioning the adder into some non-overlapped …

In this paper, a reverse carry propagate adder (RCPA) is presented. In the RCPA structure,
the carry signal propagates in a counter-flow manner from the most significant bit to the least …

This paper proposes a novel approximate adder that exploits an error-reduced carry
prediction and constant truncation with error reduction schemes. The proposed adder …

This paper presents an energy-efficient approximate adder with a novel hybrid error
reduction scheme to significantly improve the computation accuracy at the cost of extremely …