Technology Spotlight


HPE Video: Moore’s Law is Dead - What Comes Next?

HPE sponsored Discover 2017 in Las Vegas, Nevada, June 5-8, 2017, exploring some novel technologies for the future of computing. This video includes presentations by Kirk Bresniker, John Paul Strachan, and Thomas Vaerenbergh on memory-driven digital computing, memristor-based analog computing, and silicon photonic computing.

Watch the video here.

Other videos from the same conference are available here.


Podcast Overview of IEEE International Roadmap for Devices and Systems (IRDS)

In May 2016, IEEE announced the formation of the IRDS as part of the Industry Connections Program of the IEEE Standards Association, under the sponsorship of IEEE Rebooting Computing. In March 2017, the IRDS team published nine foundational white papers that outline the technical components required to create an official roadmap in early 2018. To help us better understand the IRDS program and the roadmap it will soon produce, we interviewed three participating experts: Erik DeBenedictis and Matthew Marinella of Sandia National Lab and Geoffrey Burr of IBM. To listen to or download this or other RC-related podcasts, see here.

IRDS will have a preliminary release of their 2018 roadmap in November 2017 as part of Rebooting Computing Week.


Going Beyond Moore’s Law - IEEE at SXSW 2017

The South-by-Southwest Conference in Austin TX, Nov. 10-19, 2017, included a conference track on “Intelligent Future”, with a wide range of sessions related to artificial intelligence and the future of technology.

This, in turn, included an IEEE-led panel discussion on “Going Beyond Moore’s Law”, featuring IEEE Rebooting Computing Co-Chair Tom Conte. This video from provides clips of the panel presentation and interviews with some technology leaders in attendance.

Watch the video.


Beyond Exascale: Emerging Devices and Architectures for Computing

The Supercomputing 2016 Conference (SC16) was held in Salt Lake City, UT, Nov. 13-18, 2017.
One of the invited talks was by Prof. Thomas Theis of Columbia University. He showed that while existing device technologies may be sufficient to achieve exascale performance, further increases in performance will require new devices and architectures. These may include low-energy approaches such as tunneling FETs, spintronic devices, and neural networks.

Watch the video of his presentation here.

Dr. Theis also co-authored an article on a similar topic in the latest issue of Computing in Science and Engineering, available here.

Videos of the other invited talks from SC16 are available here.


IARPA Programs in Future Computing

The 2016 ICRC was held in San Diego, Oct. 17-19, 2016. As part of a government funding panel, Dr. William Vanderlinde of the US Intelligence Advanced Research Projects Activity ( discussed IARPA research programs in support of the National Strategic Computing Initiative. Specific projects include such unconventional computing approaches as quantum computing, superconducting computing, and neuromorphic computing.

Watch the video of his presentation here.

Other video presentations from ICRC 2016 are available here.


Technology Considerations for Neuromorphic Computing

The 2016 ICRC was held in San Diego, Oct. 17-19, 2016. David Mountain of the Laboratory for Physical Sciences in Maryland presented a talk comparing digital CMOS to analog memristor implementations of neural networks for scaling to neuromorphic computers.

Watch the video of his presentation here.

The written version of his conference paper is available here.

Other video presentations from ICRC 2016 are available here.

Other papers from ICRC 2016 are available here.


Rebooting Computing Panel at IEEE Technology Time Machine

The 2016 TTM meeting sponsored by IEEE Future Directions was held in San Diego, Sept. 20-21, 2016. The theme was “Making the Future”. Many of the presentations were recorded by Watch the presentations here.

One presentation was a panel on Rebooting Computing, with panelists Elie Track, Tom Conte, Stan Williams, and Bob Voigt.

Elie Track and Tom Conte on RC Initiative

Stan Williams on Memory-Based Computing

Bob Voigt on Superconducting Computing

Panel Q&A