Conference Information
ICRC 2019: IEEE International Conference on Rebooting Computing
http://icrc.ieee.org
Submission Date:
2019-05-12 Extended
Notification Date:
2019-08-07
Conference Date:
2019-11-06
Location:
San Francisco, California, USA
Years:
4
Viewed: 1779   Tracked: 0   Attend: 0

Conference Location
Call For Papers
The 4th IEEE International Conference on Rebooting Computing (ICRC 2019) will be held 6-8 November in the San Francisco Bay Area, California. ICRC is a premier venue for novel computing approaches. ICRC grew out of the IEEE Rebooting Computing Initiative (RCI), which was founded in 2012 to catalyze rethinking of the computer at all levels of the technology stack. The Rebooting Computing Committee represents thirteen IEEE Societies and Councils, and the membership in the Rebooting Computing Technical Community is approaching three thousand. For more information on the RCI please visit the Rebooting Computing Portal (rebootingcomputing.ieee.org).

Now in its 4th year, the IEEE International Conference on Rebooting Computing is the premier venue for forward looking computing, including algorithms and languages, system software, system and network architectures, new devices and circuits, and applications of new materials and physics. This is an interdisciplinary conference that has participation from a broad technical community, with emphasis on all aspects of the computing stack. The broad scope of ICRC extends to many areas of interest, including novel device physics and materials for post-Moore, beyond CMOS, and non-von Neumann computing paradigms.

Topics of interest

Future computing approaches, including neuromorphic, brain-inspired computing, approximate and probabilistic, analog computing; computing based on novel device physics and materials (e.g., spin-based electronics, nonlinear dynamics and chaos); energy-efficient computing including reversible, adiabatic, and ballistic computing, superconductor and cryogenic computing; quantum computing; optical computing; biological and biochemical computing; Non-von Neumann computer architectures (e.g., in-memory processing, memory-based computing, cellular automata, or cellular neural networks).

Future computing design aspects, including extending Moore’s law and augmenting CMOS; error-tolerant logic and circuits; future of design automation. post-CMOS, 3D, heterogeneous integration and packaging; future impact on performance, power, scalability, reliability, supportability

Future Software and Applications, including beyond von Neumann system software issues (operating systems, compilers, security, and resource management); future computing programming paradigms and languages; applications suitable for and driving next generation computing (e.g., machine learning, deep learning.)

Future computing use cases and prototypes, including ethics in design, implementation, and use; new technologies impacting the International Roadmap for Devices and Systems (IRDS); cybersecurity in future computing systems.
Last updated by Dou Sun in 2019-05-05
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