Regensburg 2019 – wissenschaftliches Programm

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SYCC: Symposium Identifying Optimal Physical Implementations for beyond von Neumann Computing Concepts

SYCC 1: Identifying optimal physical implementations of non-conventional computing

Freitag, 5. April 2019, 09:30–12:15, H1

Emerging ambitious cognitive tasks have triggered the development of new powerful computer architectures that are disruptively different to the traditional von-Neumann computer architecture. Fields of applications include smart manufacturing, autonomous driving, machine learning for robotics, data analytics, diagnostics, efficient sensing or the creation of predictive material property models, the understanding of important brain functionalities, enabling the study of long-term processes such as learning, development, and neuro-degenerative diseases. With Moore’s law coming to an end, the speed and energy efficiency of incumbent computing devices is inadequate to cope with the in-time demands for processing big data efficiently. A range of fundamentally different new computing concepts have been devised such as neuromorphic computing, reservoir computing, probabilistic or stochastic computing. To implement this, circuits that achieve reconfigurable three-dimensional connectivity, and the exploitation of new devices that incorporate synaptic or neural functions, or strong nonlinear responses are considered. A key question is the physical realization by different concepts and materials platforms (resistively switching oxides, hybrid organic-inorganic nanoparticle, spintronics) that are currently being explored. It is obvious that different physical realizations optimize the implementation and performance of different computing concepts. This symposium reviews recent progress in physical implementations of complementary computational paradigms with a focus of highlighting the advantages, disadvantages and limitations of the different physical systems.

	09:30	SYCC 1.1	Hauptvortrag: On the Link Between Energy and Information for the Design of Neuromorphic Systems — •Narayan Srinivasa
	10:00	SYCC 1.2	Hauptvortrag: Encoding neural and synaptic functionalities in electron spin: A pathway to efficient neuromorphic computing — •Kaushik Roy
	10:30	SYCC 1.3	Hauptvortrag: Neuromorphic computing with spintronic nano-oscillators — •Philippe Talatchian, Miguel Romera, Sumito Tsunegi, Flavio Abreu Araujo, Vincent Cros, Paolo Bortolotti, Juan Trastoy, Kay Yakushiji, Akio Fukushima, Hitoshi Kubota, Shinji Yuasa, Maxence Ernoult, Damir Vodenicarevic, Tifenn Hirtzlin, Nicolas Locatelli, Damien Querlioz, and Julie Grollier
	11:00		15 min. break
	11:15	SYCC 1.4	Hauptvortrag: Artifcial Intelligence and beyond von Neumann architectures, a mutual opportunity — •Mirko Prezioso, Farnood Merrikh Bayat, and Dmitri Strukov
	11:45	SYCC 1.5	Hauptvortrag: Brain-inspired approaches in ultrafast magnetism — •Johan H. Mentink