Abstract
Summary form only given, as follows. The complete presentation was not made available for publication as part of the conference proceedings. The amount of data generated and collected across computing platforms every day is not only enormous, but growing at an exponential rate. Advanced data analytics and machine learning techniques have become increasingly essential to analyze and extract meaning from such “Big Data”. These techniques can be very useful to detect patterns and trends to improve the operational behavior of computing systems, but they also introduce a number of outstanding challenges: (1) How can we design and deploy data analytics mechanisms to improve energy-efficiency and reliability in IoT and mobile devices, without introducing significant software overheads? (2) How to leverage emerging technologies (e.g.,3D integration) to design energy-efficient and reliable manycore systems for big data computing? (3) How to use machine learning and data mining techniques for effective design space exploration of computing systems, and enable adaptive control to improve energy-efficiency? (4) How can data analytics detect anomalies and increase robustness in the network backbone of emerging large-scale networking systems? To address these outstanding challenges, out-of-the-box approaches need to be explored. In this special session, we will discuss these outstanding problems and describe far-reaching solutions applicable across the interconnected ecosystem of IoT and mobile devices, manycore chips, datacenters, and networks. The special session brings together speakers with unique insights on applying data analytics and machine learning to real-world problems to achieve the most sought after features on multi-scale computing platforms, viz. intelligent data mining, energyefficiency, and robustness. By integrating data analytics and machine learning algorithms, statistical modeling, embedded hardware and software design, and cloud computing content, this session will engage a broad section of Embedded and VLSI Design conference attendees. This special session is targeted towards university researchers/professors, students, industry professionals, and embedded/VLSI system designers. This session will attract newcomers who want to learn how to apply data analytics to solve problems in computing systems, as well as experienced researchers looking for exciting new directions in embedded systems, VLSI design, EDA algorithms, and multi-scale computing.