Special Issue on Applied Reconfigurable Computing
Christian Hochberger, Brent Nelson · Journal of Signal Processing Systems · 2021
Applied reconfigurable computing refers to the use of reconfigurable devices to create complex custom computing systems.Examples of the types of devices focused on by the papers in this issue include field-programmable gate arrays (FPGAs) and coarse-grained reconfigurable arrays (CGRAs).Both allow pre-fabricated silicon devices to be configured and reconfigured at run-time to execute highperformance computations.For many important computational areas the resulting systems can perform orders of magnitude faster than software solutions.Two of these computational areas include high-performance signal processing and control engineering as well as neural networks and machine learning.In addition, sophisticated design tools can aid in the creation of such reconfigurable systems and applications, and the development of such tools is an important research area in the field.The papers in this special issue focus on these three areas.