This course is for anyone passionate in learning how a hardware component can be adapted at runtime to better respond to users/environment needs. This adaptation can be provided by the designers, or it can be an embedded characteristic of the system itself. These runtime adaptable systems will be implemented by using FPGA technologies.
Within this course we are going to provide a basic understanding on how the FPGAs are working and of the rationale behind the choice of them to implement a desired system.
This course aims to teach everyone the basics of FPGA-based reconfigurable computing systems. We cover the basics of how to decide whether or not to use an FPGA and, if this technology will be proven to be the right choice, how to program it.
This is an introductory course meant to guide you through the FPGA world to make you more conscious on the reasons why you may be willing to work with them and in trying to provide you the sense of the work you have to do to be able to gain the advantages you are looking for by using these technologies.
The course has no prerequisites and avoids all but the simplest mathematics and it presents technical topics by using analogizes to help also a student without a technical background to get at least a basic understanding on how an FPGA works.
One of the main objectives of this course is to try to democratize the understanding and the access to FPGAs technologies. FPGAs are a terrific example of a powerful technologies that can be used in different domains. Being able to bring this technologies to domain experts and showing them how they can improve their research because of FPGAs, can be seen as the ultimate objective of this course. Once a student completes this course, they will be ready to take more advanced FPGA courses.
From the lesson
An introduction to Reconfigurable Computing
Traditionally, computing was classified into General-Purpose Computing performed by a General-Purpose Processor (GPP) and Application-Specific Computing performed by an Application-Specific Integrated Circuit (ASIC). As a trade-off between the two extreme characteristics of GPP and ASIC, reconfigurable computing has combined the advantages of both. On one hand reconfigurable computing can have better performance with respect to a software implementation but paying this in terms of time to implement. On the other hand a reconfigurable device can be used to design a system without requiring the same design time and complexity compared to a full custom solution but being beaten in terms of performance. The main advantage of a reconfigurable system is its high flexibility, while its main disadvantage is the lack of a standard computing model. In this module we are presenting a first definition of reconfigurable computing, describing the rationale behind it and introducing how this field has been influenced by the introduction of the FPGAs.