Introduction to the Special Issue on Next Generation Pervasive Reconfigurable Computing for High Performance Real Time Applications

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Venkatesan C
Yu-Dong Zhang
Chow Chee Onn
Yong Shi

Abstract

The evolution of scientific computing is reshaping the hardware and software requirements, emphasizing the need for high-performance platforms adaptable to real-time applications. Traditional methods with general-purpose processors often lack the agility needed for swift modifications and fast computations during real-time tasks. Reconfigurable computing offers a compelling solution by integrating hardware speed and software flexibility on a unified platform. This technique promises significant acceleration across diverse applications like image processing, encryption, decryption, runtime operations, and intensive computing tasks such as sequence searching and matching in smart environments.


For high-performance applications, software-programmed microprocessors offer versatility. Artificial Intelligence (AI) has proven more robust than traditional methods in noisy environments, relying on reconfigurable designs for efficient operation. Hybrid machine-learning techniques enhance system reliability without compromising performance. Reconfigurable computing systems have recently accelerated intensive algorithms compared to software-optimized versions, leveraging parallel topologies. Deep Neural Architectures with adaptable computation patterns excel in computer vision tasks. Artificial Neural Networks (ANNs) are crucial for pattern recognition, high-performance machine learning, data manipulation, security threats, data mining, signal processing, and other applications, driving ongoing research into reconfigurable hardware and software implementations for ANNs.


It is a privilege for us to introduce the Special Issue on “Next generation pervasive reconfigurable computing for high-performance real-time applications”. Among the numerous research papers we received (49 in total), we meticulously selected 22 papers for publication. The overarching objective of this special issue is to investigate the recent advancements and disseminate state-of-the-art research related to reconfigurable computing for high-performance real-time applications and the technologies that make this possible. This special issue represents a showcase of new dimensions of research, offering researchers and industry professionals an illuminating perspective on pervasive reconfigurable computing. We sincerely hope that the contributions in this special issue will not only inform but also inspire future research endeavours, leading to a deeper understanding of the multifaceted world of speed computation during real-time applications.

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Editorial