Multiply and Accumulate (MAC) is one of the most common operations in modern computing
systems. It is for example used in matrix multiplication and in new computational …

Convolution widely has been used as the main part of the improvement in digital image
processing applications. In convolutional computations, a large number of memory accesses …

A scheme often used for error tolerance of arithmetic circuits is the so-called Reduced
Precision Redundancy (RPR). Rather than replicating multiple times the entire module, RPR …

Convolution has been widely employed in image processing and computer vision
applications such as picture augmentation, smoothing, and structure extraction. In addition …

Approximate computing has been proposed as a novel paradigm for efficient and low power
design at nanoscales. It introduces error as a new dimension in the circuit design view …

This paper proposes an error compensation scheme of two-dimensional (2D) convolver in
which both approximate circuit-and algorithm-level techniques are utilized in the design …

Multiply and Accumulate (MAC) is one of the most common operations in modern computing
systems. It is for example used in matrix multiplication and in new computational …

Despite the advances in semiconductor technologies and development of energy-efficient
design techniques, the overall energy consumption of computer systems is still rapidly …