We present a viewpoint showing that analog signal processing approaches are becoming configurable and programmable like their digital counterparts, while retaining a huge computational efficiency, for a given power budget, compared to their digital counterparts. We present recent results in programmable and configurable analog signal processing describing the widespread potential of these approaches. We discuss issues with configurable systems, including size, power, and computational tradeoffs, as well as address the computational efficiency of these approaches. Analog circuits and systems research and education can significantly benefit from the computational flexibility provided by large-scale FPAAs. The component density of these devices is sufficient to synthesize large systems in a short period of time. However, this level of reconfigurable and programmable complexity requires a development platform and CAD tools to demonstrate the capabilities of large-scale FPAAs before they will be widely accepted. To address this need, a self-contained FPAA setup has been developed along with an integrated software design flow. With only an Ethernet connection and an AC power outlet, a researcher or student can explore the numerous analog circuit possibilities provided by large-scale FPAAs.