Mircea R. Stan presents a talk on “Asynchronous Stream Computing for Low Power IoT Asynchronous Stochastic Computing (ASC), Asynchronous Stream Processing (ASP) and Asynchronous Impulse Radio (AIR) for ubiquitous sensing at the Edge” at TECHNION (Israel Institute of Technology) - Advanced Circuits Research Center (ACRC) as a part of the “ACRC Semiconductor Webinars” series and the IEEE Circuits and Systems Society Distinguished Lectures series.Abstract of the talk:
Asynchronous circuits have many potential advantages over their synchronous counterparts in terms of robustness to parameter variations, wide supply voltage ranges, and potentially low power by not needing a clock, yet their promise has not been translated yet into commercial success due to several issues related to design methodologies and the need for handshake signals. Stochastic computing is another processing paradigm that has shown promises of low power and extremely compact circuits but has yet to become a commercial success mainly because of the need for a fast clock to generate the random streams. In this talk we will go over three complementary circuit techniques: Asynchronous Stochastic Computing (ASC), Asynchronous Stream Processing (ASP) and Asynchronous Impulse Radio (AIR). These techniques combine the best features of asynchronous circuits with the best features of stochastic computing to enable extremely compact and low power IoT sensing nodes. Together they can fulfill the promise of smart dust, a concept that was ahead of its time and yet to achieve commercial success.