Research has shown that deep neural networks contain significant redundancy, and that
high classification accuracies can be achieved even when weights and activations are …

Hardware accelerators based on field programmable gate array (FPGA) and system on chip
(SoC) devices have gained attention in recent years. One of the main reasons is that these …

Research has shown that deep neural networks contain significant redundancy, and thus
that high classification accuracy can be achieved even when weights and activations are …

Power consumption constitutes a major challenge for electronics circuits. One possible way
to deal with this issue is to consider it very soon in the design process in order to explore …

High-level synthesis (HLS) enables designers to customize hardware designs without the
need for delving into low-level hardware details. However, it is still challenging to establish …

As field-programmable gate arrays (FPGAs) become prevalent in critical application
domains, their power consumption is of high concern. In this paper, we present and evaluate …

When high speed and high performance are key features of a specific FPGA-based system,
increase in energy consumption becomes the main hurdle to be tackled while keeping a …

Power optimization has become a major concern for most digital hardware designers,
particularly in early design phases and especially in limited power budget systems (battery …

Nowadays, power optimization has become a major interest for most digital hardware
designers. Some, traditionally, might stick to offline power estimation especially in early …

Nowadays, the development of algorithms focuses on performance-efficient and energy-
efficient computations. Technologies such as field programmable gate array (FPGA) and …