Moore meets maxwell

Moore's Law has driven the semiconductor revolution enabling over four decades of scaling in frequency, size, complexity, and power. However, the limits of physics are preventing further scaling of speed, forcing a paradigm shift towards multicore computing and parallelization. In effect, the system is taking over the role that the single CPU was playing: high-speed signals running through chips but also packages and boards connect ever more complex systems. High-speed signals making their way through the entire system cause new challenges in the design of computing hardware. Inductance, phase shifts and velocity of light effects, material resonances, and wave behavior become not only prevalent but need to be calculated accurately and rapidly to enable short design cycle times. In essence, to continue scaling with Moore's Law requires the incorporation of Maxwell's equations in the design process. Incorporating Maxwell's equations into the design flow is only possible through the combined power that new algorithms, parallelization and high-speed computing provide. At the same time, incorporation of Maxwell-based models into circuit and system-level simulation presents a massive accuracy, passivity, and scalability challenge. In this tutorial, we navigate through the often confusing terminology and concepts behind field solvers, show how advances in field solvers enable integration into EDA flows, present novel methods for model generation and passivity assurance in large systems, and demonstrate the power of cloud computing in enabling the next generation of scalable Maxwell solvers and the next generation of Moore's Law scaling of systems. We intend to show the truly symbiotic growing relationship between Maxwell and Moore!

Amor, muerte y esperanza : reflexiones desde Gabriel Marcel

Resumen: No vivimos solos ni morimos solos. Por ello el acompañamiento del enfermo terminal desde una actitud de amor, sostenido en su base por la esperanza trascendente, es ciertamente necesario como actitud cristiana de donación, y su reflexión se incorpora a toda antropología que no deje de lado la tanatología. Si la antropología margina el “thanatos”, se torna fragmentaria e incompleta. Morir no es el fin de la biografía que le “pasa” a los demás: es la experiencia universal a la cual cada uno ha de prepararse. Este asunto será analizado teniendo como guía a un destacado filósofo francés, Gabriel Marcel, quien, de algún modo, ha dado luz con sus escritos y su preocupación vital sobre esta temática.

Oratio dominica CL linguis versa, et propriis cujusque linguae characteribus plerumque expessa : edente J. J. Marcel, typographeii imperialis administro generali

Referência: Manuel du libraire et de l'amateur de livres /Jacques-Charles Brunet. 1862. v.3. pg.1394.

Delayed control of a Moore-Greitzer axial compressor model

Several feedback control laws have appeared in the literature concerning the stabilization of the nonlinear Moore-Greitzer axial compression model. Motivated by magnitude and rate limitations imposed by the physical implementation of the control law, Larsen et al. studied a dynamic implementation of the S-controller suggested by Sepulchre and Kokotović. They showed the potential benefit of implementing the S-controller through a first-order lag: while the location of the closed-loop equilibrium achieved with the static control law was sensitive to poorly known parameters, the dynamic implementation resulted in a small limit cycle at a very desirable location, insensitive to parameter variations. In this paper, we investigate the more general case when the control is applied with a time delay. This can be seen as an extension of the model with a first-order lag. The delay can either be a result of system constraints or be deliberately implemented to achieve better system behavior. The resulting closed-loop system is a set of parameter-dependent delay differential equations. Numerical bifurcation analysis is used to study this model and investigate whether the positive results obtained for the first-order model persist, even for larger values of the delay.

The challenge of change; what is happening in home missions, by John Milton Moore.

http://www.archive.org/details/challengeofchang028207mbp