Academic literature on the topic 'ANALYSIS OF CMOS'

A versatile and efficient computer-aided analysis tool, CUREST, has been developed for the analysis of supply currents in CMOS digital circuits. It is based on Nabavi-Lishi's semi-analytical model for computing the current and delay in a CMOS logic gate which, when compared to HSPICE running the level-3 MOSFET model, is more than three orders of magnitude faster, and accurate to within 10%. CUREST is built on top of the timing analyser TAMIA and, in particular, uses its circuit parser and its data structure to store the circuit topology and primary input pattern.<br>Extension tests on benchmark circuits containing up to 555 gates, which were analysed with CUREST using thousands of primary input patterns, demonstrate that the current analysis time is in the range of 1ms per gate per input pattern, using a SUN4/490 workstation with 32 Mb of main memory, running the SUN OS 4.103 operating system. The peak value of the total supply current, the current rise-time, and the time at which the peak occurs are usually computed to within 10% of HSPICE. However, appreciable errors often occur in the average current. This is because at the moment we do not have a good model for dealing with incomplete transitions associated with glitches in a CMOS gate.

L'auteur n'a pas fourni de résumé en français<br>Integrated circuits evolution is driven by the trend of increasing operating frequencies and downscaling of the device size, while embedding more and more complex functionalities in a single chip. However, the continuation of the device-scaling race generates a number of technology challenges. For instance, the downscaling of transistor channel lengths induce short-channel effects (drain-induced barrier lowering and punch-through phenomena); high electric field in the devices tend to increase Hot electron effect (or Hot Carrier) and Oxide Dielectric Breakdown; higher temperatures in IC products generates an increase of the Negative Bias Temperature Instability (NBTI) effect on pMOS devices. Today, it is considered that the above reliability mechanisms are ones of the main causes of circuit degradation performance in the field. This dissertation will address the Hot Carrier (HC) and NBTI impacts on CMOS product electrical performances. A CAD bottom-up approach will be proposed and analyzed, based on the Design–in Reliability (DiR) methodology. With this purpose, a detailed analysis of the NBTI and the HC behaviours and their impact at different abstraction level is provided throughout this thesis. First, a physical framework presenting the NBTI and the HC mechanisms is given, focusing on electrical parameters weakening of nMOS and pMOS transistors. Moreover, the main analytical HC and NBTI degradation models are treated in details. In the second part, the delay degradation of digital standard cells due to NBTI, HCI is shown; an in-depth electrical CAD analysis illustrates the combined effects of design parameters and HCI/NBTI on the timing performance of standard cells. Additionally, a gate level approach is developed, in which HC and NBTI mechanisms are individually addressed. The consequences of the degradation at system level are presented in the third part of the thesis. With this objective, data extracted from silicon measures are compared against CAD estimations on two complexes IPs fabricated on STCMOS 45nm technologies. It is expected that the findings of this thesis highly contribute to the understanding of the NBTI and HC reliability wearout mechanisms at the system level.STAR

Thesis (Ph. D.)--University of California, San Diego, 2006.<br>Title from first page of PDF file (viewed September 8, 2006). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 121-123).

Personalised medicine is widely considered to be the future of global healthcare, where diagnosis, treatment, and potentially even drug development, will become specific to, and optimised for, each individual patient. Traditional population based cell studies suppress the influence of outlier cells that are frequently those of most clinical relevance. Hence single-cell analysis is becoming increasingly important in understanding disease, aiding diagnosis and selecting tailored treatment; but remains the preserve of biomedical laboratories far from the patient. Current instruments depend upon cell-labelling to identify the cell type(s) of interest, which require that these be chosen a-priori and may not be those most clinically relevant. Furthermore, cell-labelling is fundamentally subjective, requiring highly-skilled operators to decide upon the validity of each and every test. Therefore, new test methods need to be developed to enable the widespread adoption of single-cell analysis. The passive electrical properties of biological cells are known to be indicative of the specific cell type, but no technology has demonstrated their comprehensive measurement within a mass-manufacturable device. This work aims to show that biologically meaningful information can be obtained in the form of identifiable “cell signatures” through broadband frequency measurements spanning 100 kHz to 100 MHz that exploit the properties of differential electric fields. This hypothesis is tested through the design, implementation and experimental testing of a dedicated microsystem that integrates two novel designs of electrical sensor within a standard, mass-manufacturable Complementary Metal-Oxide Semiconductor microelectronics technology. One sensor measures the absolute electrical environment above a single sense electrode. The other measures the difference in electrical environment between a pair of electrodes, with view to provide information regarding the suspended cell only, through rejecting the common signal due to its suspending medium. Both sensors are shown capable of detecting individual biological cells in physiological solution, and the differential sensor capable of identifying individually-fixed red blood cells, cervical cancer HeLa cells, and three diameters of homogeneous polystyrene micro-beads of comparable size, all while suspended in physiological saline. These results confirm the hypothesis that differential electric fields provide greater distinction of suspended cells from their environment than existing electrical methods. This finding shows that electrode polarisation arising from proximity to liquids, and particularly physiological media, can be overcome through fully-differential electrical cell sensing. However, misalignment between cells and sensor electrodes limits the sensitivity achieved with the microsystem. Methods to overcome such alignment issues should be investigated in future work, along with higher frequency measurements beyond those presented here.