Special Issue Papers
By S. Basu, R. E. Bryant, G. De Micheli, T. Theis, and L. Whitman
Addressing Unreliability in Emerging Devices and Non-von Neumann Architectures Using Coded Computing
By S. Dutta, H. Jeong, Y. Yang, V. Cadambe, T. M. Low, and P. Grover
This article considers fundamental limits and novel strategies regarding resiliency of computation by invoking information-theoretic principles for basic building blocks of scientific computation and data analytics (“dwarfs”).
By S. K. Vadlamani, S. Agarwal, D. T. Limmer, S. G. Louie, F. R. Fischer, and E. Yablonovitch
This article provides new insights into fundamental limitations of the tunnel FETs (tFETs) for desirable energy-efficient operations, and how to possibly overcome them.
Deep Learning Neural Network Architectures
By D. Shin and H.-J. Yoo
This article considers heterogeneous machine-learning-specific integrated circuits (MSICs) as a new non-von Neumann architecture implementing deep learning neural networks for diverse applications.
By Q. Cheng, J. Kwon, M. Glick, M. Bahadori, L. P. Carloni, and K. Bergman
As an example of emerging optical technologies in computing, this article considers low-complexity silicon-photonics-enabled integrated optical vector–matrix multiplier for deep neural computations.
Analog Computing Architecture
By J. Hasler
This article examines the resurgence of analog computing. Tools enabling design of large-scale field-programmable analog arrays (FPAAs) as ubiquitous analog-mixed-signal, low-power sensors are elaborated, and their future potentials are commented on.
New Spin on Spintronics
By R. Bläsing, A. A. Khan, P. Ch. Filippou, C. Garg, F. Hameed, J. Castrillon, and S. S. P. Parkin
This article shows how spin-orbitronics can successfully overcome impediments to technology transfer of racetrack memory, as FLASH and magnetic hard disk drives approach their fundamental physical limits.
By K. Y. Camsari, P. Debashis, V. Ostwal, A. Z. Pervaiz, T. Shen, Z. Chen, S. Datta, and J. Appenzeller
This article discusses p-bits (probabilistic bits), an interme- diary between the classical (deterministic) bits and the (quantum) q-bits, as an alternative computational paradigm for solving several problems of current interest.
By A. D. Córcoles, A. Kandala, A. Javadi-Abhari, D. T. McClure, A. W. Cross, K. Temme, P. D. Nation, M. Steffen, and J. M. Gambetta
This article provides a perspective on quantum computing from a leading industry laboratory, for providing access to users not acquainted with the hardware and to accommodate new applications.
By Y. Shi, P. Gokhale, P. Murali, J. M. Baker, C. Duckering, Y. Ding, N. C. Brown, C. Chamberland, A. Javadi-Abhari, A. W. Cross, D. I. Schuster, K. R. Brown, M. Martonosi, and F. T. Chong
This article considers architecture of emerging quantum computers, and explores the value of breaking some basic abstractions traditionally used in the design of computational hardware and software.