Floating-point Sparse Matrix-Vector Multiplication (SpMXV) is a key computational kernel in
scientific and engineering applications. The poor data locality of sparse matrices …

The Field Programmable Gate Array (FPGA) implementation of the commonly used
Histogram of Oriented Gradients (HOG) algorithm is explored. The HOG algorithm is …

We present the design and implementation of a 2D convolution core for video applications
optimised for the Xilinx low cost 3.3 V SpartanXL/spl trade/FPGA family. The core is …

Graphics Processing Units (GPUs) have become the focus of much interest with the scientific
community lately due to their highly parallel computing capabilities, and cost effectiveness …

Spatial light modulators (SLMs) are key research tools in several contemporary applied
optics research domains. In this paper, we present the argument that an open platform for …

Memristor-based Computation-in-Memory is one of the emerging architectures proposed to
deal with Big Data problems. The design of such architectures requires a radically new …

This paper presents a high-level hardware description environment developed at Queen's
University, Belfast, UK, which aims to bridge the gap between application design and …

Memristor-based Computation-in-Memory (CIM) is one of the emerging architectures for next-
generation Big Data problems. Its design requires a radically new synthesis flow as the …

This paper describes a library (XSGImgLib) that includes parameterizable blocks to
implement low-level image processing tasks on FPGAs. A modelbased design technique …

Image processing is considered to be one of the most rapidly evolving areas of information
technology, with growing applications in all fields of knowledge. It constitutes a core area of …