The Computing Community Consortium (CCC) recently released the Thermodynamic Computing workshop report, the output of the CCC’s January 2019 visioning workshop of the same name. The workshop was organized by Tom Conte (Georgia Tech), Erik DeBenedictis (former Sandia National Laboratories), Natesh Ganesh (University of Massachusetts Amherst), Todd Hylton (UC San Diego), Susanne Still (University of Hawaii), John Paul Strachan (Hewlett Packard Lab HPE), R. Stanley Williams (Texas A&M). It brought together physical theorists, electrical and computer engineers, electronic/ionic device researchers, and theoretical biologists to explore a novel idea: computing as an open thermodynamic system. The report begins by explaining the need for thermodynamic computers: with the end of Moore’s Law and Dennard […]
Computing Community Consortium Blog
The goal of the Computing Community Consortium (CCC) is to catalyze the computing research community to debate longer range, more audacious research challenges; to build consensus around research visions; to evolve the most promising visions toward clearly defined initiatives; and to work with the funding organizations to move challenges and visions toward funding initiatives. The purpose of this blog is to provide a more immediate, online mechanism for dissemination of visioning concepts and community discussion/debate about them.
Posts Tagged ‘rebooting computing’
Thermodynamic Computing Workshop Report Released
November 4th, 2019 / in Announcements, CCC, research horizons, resources, workshop reports / by Khari DouglasRecap of the CCC’s Thermodynamic Computing Workshop
February 5th, 2019 / in Announcements, conference reports, podcast, Research News, resources / by Khari DouglasThe Computing Community Consortium (CCC) recently hosted a visioning workshop on Thermodynamic Computing in Honolulu, Hawaii in order to establish a community of like-minded visionaries; craft a statement of research needs; and summarize the current state of understanding within this new area of computing. The premise behind thermodynamic computing is that striving for thermodynamic efficiency is not only highly desirable in hardware components, but may also be used as an embedded capability in the creation of algorithms. Can dissipated heat be used to trigger adaptation/restructuring of (parts of) the functioning hardware, thus allowing hardware to evolve increasingly efficient computing strategies? Recent theoretical developments in non-equilibrium thermodynamics suggest that it drives […]
