Unified reliability estimation and management of NoC based chip multiprocessors

We present a new architecture level unified reliability evaluation methodology for chip multiprocessors (CMPs). The proposed reliability estimation (REST) is based on a Monte Carlo algorithm. What distinguishes REST from the previous work is that both the computational and communication components are considered in a unified manner to compute the reliability of the CMP. We utilize REST tool to develop a new dynamic reliability management (DRM) scheme to address time-dependent dielectric breakdown and negative-bias temperature instability aging mechanisms in network-on-chip (NoC) based CMPs. Designed as a control loop, the proposed DRM scheme uses an effective neural network based reliability estimation module. The neural-network predictor is trained using the REST tool. We investigate how system’s lifetime changes when the NoC as the communication unit of the CMP is considered or not during the reliability evaluation process and find that differences can be as high as 60%. Full-system based simulations using a customized GEM5 simulator show that reliability can be improved by up to 52% using the proposed DRM scheme in a best-effort scenario with 2–9% performance penalty (using a user set target lifetime of 7 years) over the case when no DRM is employed.     

Placement and routing in 3D integrated circuits

Three-dimension technologies offer great promise in providing improvements in the overall circuit performance. Physical design plays a major role in the ability to exploit the flexibilities offered in the third dimension, and this article gives an overview of placement and routing methods for FPGA- and ASIC-style designs. We describe CAD techniques for placement and routing in 3D ICs, developed under our 3D analysis and design optimization framework. These approaches address a dichotomy of design styles, both FPGA and ASIC. The factors that are important in each style are different, so that a one-size-fits-all approach is impractical, and therefore, we present separate approaches for 3D physical design for each of these technologies. Hence, our FPGA placement method uses a two-step optimization process that minimizes inter-tier vias first, followed by further optimization within and across tiers. In contrast, the ASIC flow uses cost function weighting to discourage, but not minimize, inter-tier crossings.     

The effect of carbetox on glycolysis and the activity of some enzymes in carbohydrate metabolism in the fish and rat liver

A study was carried out concerning the in vivo and in vitro action of an organophosphoric malathion-containing-pesticide Carbetox—on glycolysis and the activity of some enzymes in carbohydrate metabolism in the liver of fish (Cyprinus carpio) and albino rats.The insecticide inhibits hepatic glycolysis in fish and in rats both in vivo and in vitro. In terms of the concentration, Carbetox also inhibits G-6-PDH.LDH and G-6-P-ase activity in the liver of the two species.     

Mining and visualising ordinal data with non-parametric continuous BBNs

Data mining is the process of extracting and analysing information from large databases. Graphical models are a suitable framework for probabilistic modelling. A Bayesian Belief Net (BBN) is a probabilistic graphical model, which represents joint distributions in an intuitive and efficient way. It encodes the probability density (or mass) function of a set of variables by specifying a number of conditional independence statements in the form of a directed acyclic graph. Specifying the structure of the model is one of the most important design choices in graphical modelling. Notwithstanding their potential, there are only a limited number of applications of graphical models on very complex and large databases. A method for mining ordinal multivariate data using non-parametric BBNs is presented. The main advantage of this method is that it can handle a large number of continuous variables, without making any assumptions about their marginal distributions, in a very fast manner. Once the BBN is learned from data, it can be further used for prediction. This approach allows for rapid conditionalisation, which is a very important feature of a BBN from a user’s standpoint.     

Omni-directional selective shielding material based on amorphous glass coated microwires

The shielding effectiveness of the omni-directional selective shielding material based on CoFe-glass coated amorphous wires in 0.8 GHz-3 GHz microwave frequency range is investigated. The measurements were done in a controlled medium using a TEM cell and in the free space using horn antennas, respectively. Experimental results indicate that the composite shielding material can be developed with desired shielding effectiveness and selective absorption of the microwave frequency range by controlling the number of the layers and the length of microwires.     

Toward integrated PV panels and power electronics using printing technologies

In this paper, we review the latest developments in the area of printing technologies with an emphasis on the fabrication of control-embedded photovoltaics (PV) with on-board active and passive devices. We also review the use of power converters and maximum power point tracking (MPPT) circuits with PV panels. Our focus is on the investigation of the simplest implementations of such circuits in view of their integration with solar cells using printing technologies. We see this concept as potentially enabling toward further cost reduction. Besides a discussion as to feasibility, we shall also present some projections and guidelines toward possible integration.