Cryptosystem designers frequently assume that secrets will be manipulated in closed, reliable computing environments. Unfortunately, actual computers and microchips leak information about the operations they process. This paper examines specific methods for analyzing power consumption measurements to find secret keys from tamper resistant devices. We also discuss approaches for building cryptosystems that can operate securely in existing hardware that leaks information.

/pdf/differential-power-analysis-4t7fjmuc7b.pdf

Differential Power Analysis

Artificial neural networks: fundamentals, computing, design, and application

Within this text neural networks are considered as massively interconnected nonlinear adaptive filters.

Recurrent Neural Networks for Prediction

A Boundary Condition Capturing Method for Poisson's Equation on Irregular Domains

Neuromorphic computing has come to refer to a variety of brain-inspired computers, devices, and models that contrast the pervasive von Neumann computer architecture This biologically inspired approach has created highly connected synthetic neurons and synapses that can be used to model neuroscience theories as well as solve challenging machine learning problems The promise of the technology is to create a brain-like ability to learn and adapt, but the technical challenges are significant, starting with an accurate neuroscience model of how the brain works, to finding materials and engineering breakthroughs to build devices to support these models, to creating a programming framework so the systems can learn, to creating applications with brain-like capabilities In this work, we provide a comprehensive survey of the research and motivations for neuromorphic computing over its history We begin with a 35-year review of the motivations and drivers of neuromorphic computing, then look at the major research areas of the field, which we define as neuro-inspired models, algorithms and learning approaches, hardware and devices, supporting systems, and finally applications We conclude with a broad discussion on the major research topics that need to be addressed in the coming years to see the promise of neuromorphic computing fulfilled The goals of this work are to provide an exhaustive review of the research conducted in neuromorphic computing since the inception of the term, and to motivate further work by illuminating gaps in the field where new research is needed

A Survey of Neuromorphic Computing and Neural Networks in Hardware.

A simple computationally efficient closed-form model has been developed to determine the pull-in voltage of a cantilever beam actuated by electrostatic force. The approach is based on a linearized uniform approximate model of the nonlinear electrostatic pressure and the load deflection model of a cantilever beam under uniform pressure. The linearized electrostatic pressure includes the electrostatic pressure due to the fringing field capacitances and has been derived from Meijs and Fokkema's highly accurate empirical expression for the capacitance of a VLSI on-chip interconnect. The model has been verified by comparing the results with published experimentally verified 3D finite element analysis results and also with results from similar closed-form models. The new model can evaluate the pull-in voltage for a cantilever beam with a maximum deviation of ±2% from the finite element analysis results for wide beams, and a maximum deviation of ±1% for narrow beams (extreme fringing field).

https://iopscience.iop.org/article/10.1088/0960-1317/15/4/012/pdf

A closed-form model for the pull-in voltage of electrostatically actuated cantilever beams

In this paper, we analyze some of the main properties of a double base number system, using bases 2 and 3; in particular, we emphasize the sparseness of the representation. A simple geometric interpretation allows an efficient implementation of the basic arithmetic operations and we introduce an index calculus for logarithmic-like arithmetic with considerable hardware reductions in lookup table size. We discuss the application of this number system in the area of digital signal processing; we illustrate the discussion with examples of finite impulse response filtering.

Theory and applications of the double-base number system

An algorithm for modular exponentiation

Using an enhanced multiple output domino logic (EMODL) implementation of a carry lookahead adder (CLA), sums of several consecutive bits can be built in one nFET tree with a single carry-in. Based on this result, a new sparse carry chain architecture is proposed for the CLA adder. We demonstrate the design approach using a 32-b adder, and show that only four carries are sufficient for generating all sums, with a consequent reduction in the number of stage delays. Using a 1.2-/spl mu/m CMOS technology, we verify our simulation procedures by fabrication and measurement of a 2.7 ns critical path.

Fast adders using enhanced multiple-output domino logic

Modulo 2n+1 multiplication plays an important role in the Fermat number transform and residue number systems; the diminished-1 representation of numbers has been found most suitable for representing the elements of the rings. Existing algorithms for modulo (2n+1) multiplication either use recursive modulo (2n+1) addition, or a regular binary multiplication integrated with the modulo reduction operation. Although most often adopted for largen, this latter approach requires conversions between the diminished-1 and binary representations. In this paper we propose a parallel fine-grained architecture, based on a Wallace tree, for modulo (2n+1) multiplication which does not require any conversions; the use of a Wallace tree considerably improves the speed of the multiplier. This new architecture exhibits an extremely modular structure with associated VLSI implementation advantages. The critical path delay and the hardware requirements of the new multiplier are similar to that of a correspondingn×n bit binary multiplier.

W.C. Miller

Papers

A closed-form model for the pull-in voltage of electrostatically actuated cantilever beams

Theory and applications of the double-base number system

An algorithm for modular exponentiation

Fast adders using enhanced multiple-output domino logic

An efficient tree architecture for modulo 2 n + 1 multiplication