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Oct 15, 2016

IEEE Reboots, Scans for Future Architectures

Posted by in categories: computing, information science, quantum physics, solar power, sustainability

If there is any organization on the planet that has had a closer view of the coming demise of Moore’s Law, it is the Institute of Electrical and Electronics Engineers (IEEE). Since its inception in the 1960s, the wide range of industry professionals have been able to trace a steady trajectory for semiconductors, but given the limitations ahead, it is time to look to a new path—or several forks, to be more accurate.

This realization about the state of computing for the next decade and beyond has spurred action from a subgroup, led by Georgia Tech professor Tom Conte and superconducting electronics researcher, Elie Track called “Rebooting Computing,” which produces reports based on invite-only deep dives on a wide range of post-Moore’s Law technologies, many of which were cited here this week via Europe’s effort to pinpoint future post-exascale architectures. The Rebooting Computing effort is opening its doors next week for a wider-reaching, open forum in San Diego to bring together new ideas in novel architectures and modes of computing as well as on the applications and algorithm development fronts.

According to co-chair of the Rebooting Computing effort, Elie Track, a former Yale physicist who has turned his superconducting circuits work toward high efficiency solar cells in his role at startup Nvizix, Moore’s Law is unquestionably dead. “There is no known technology that can keep packing more density and features into a given space and further, the real issue is power dissipation. We just cannot keep reducing things further; a fresh perspective is needed.” The problem with gaining that view, however, is that for now it means taking a broad, sweeping look across many emerging areas; from quantum and neuromorphic devices, approximate computing, and a wide range of other technologies. “It might seem frustrating that this is general, but there is no clear way forward yet. What we all agree on is that we need exponential growth in computing engines.”

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