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proceedings of the ieee cover jan 2019
proceedings of the ieee cover jan 2019

Special Issue: Nonsilicon, Non-von Neumann Computing–Part I

Volume 107, Issue 1

January 2019

Guest Editors

Special Issue Papers

By S. Basu, R. E. Bryant, G. De Micheli, T. Theis, and L. Whitman

Novel Materials and Devices

By M. M. Sabry Aly, T. F. Wu, A. Bartolo, Y. H. Malviya, W. Hwang, G. Hills, I.Markov, M. Wootters, M.M. Shulaker, H.-S. P. Wong, and S.Mitra

This paper enables energy-efficient computing for transformative abundant-data applications through heterogeneous integration of energy-efficient logic devices immersed in dense nonvolatile memory, with fine-grained connectivity in a monolithic 3-D architecture.

By J. C. Wong and S. Salahuddin

This paper provides an overview of a groundbreaking theoretical and experimental work on this promising new type of field-effect transistor.

By D. Carmean, L. Ceze, G. Seelig, K. Stewart, K. Strauss, and M. Willsey

This paper attempts to address the problem of long-term storage and retrieval of large volumes of data based on emerging DNA technology.

Physics-Based Non-von Neumann Paradigm

By A. Raychowdhury A. Parihar, G. H. Smith, V. Narayanan, G. Csaba, M. Jerry, W. Porod, and S. Datta

This paper discusses a computing architecture inspired by physics, via the radically different approach of using arrays of oscillators.

By N. R. Shanbhag, N. Verma, Y. Kim, A. D. Patil, and L. R. Varshney

This paper considers a principled information-theoretic approach to the design of non-von Neumann architectures via statistical computing which leverages information-based metrics.

Neuromorphic Paradigm

By W. Haensch, T. Gokmen, and R. Puri

This paper explores the current state of neuromorphic deep learning architectures in silicon CMOS technology.

By A. Rahimi, P. Kanerva, L. Benini, and J. M. Rabaey

This paper takes an unconventional approach to learning machines based on little explored but much promising notion of hyperdimensional computing.

By A. Neckar, S. Fok, B. V. Benjamin, T. C. Stewart, N. N. Oza, A. R. Voelker, C. Eliasmith, R. Manohar, and K. Boahen

This paper provides an overview of a current approach for the construction of a programmable computationing machine inspired by the human brain.

CMOS and High-Performance Computing

By E. Testa, M. Soeken, L. G. Amarù, and G. De Micheli

This paper provides a state-of-the-art view on the status of logic design flows in conventional silicon CMOS as well as using several of the emerging technologies.

By J. Cong, Z. Fang, M. Huang, P. Wei, D. Wu, and C. H. Yu

This paper deals with the important issue of specialization in designing computing hardware that can potentially provide at least a near-term strategy to combat Moore’s law slowdown.

By G. P. Fettweis, M. Dörpinghaus, J. Castrillon, A. Kumar, C. Baier, K. Bock, F. Ellinger, A. Fery, F. H. P. Fitzek, H. Härtig, K. Jamshidi, T. Kissinger, W. Lehner, M.Mertig, W. E. Nagel, G. T. Nguyen, D. Plettemeier, M. Schröter, and T. Strufe

This paper describes a leading European effort on applications of basic technologies to energy-efficient servers and high-performance computing of the future, that has been ongoing for more than a decade.

Point of View

By H. J. Trussell

Point of View

By D. Maslov, Y. Nam, and J. Kim

proceedings of the ieee pov jan 2019

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