Random telegraph signals (RTS) are investigated on MOSFETs where a systematic procedure is developed to extract the RTS parameters from a large volume of multi-level switching events with a Poisson distribution. RTS m...
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Random telegraph signals (RTS) are investigated on MOSFETs where a systematic procedure is developed to extract the RTS parameters from a large volume of multi-level switching events with a Poisson distribution. RTS measurements can be utilized to identify and characterize gate oxide defects with better resolution than frequency domain power spectral density, deep level transient spectroscopy, or charge pumping techniques. We demonstrate here multi-level RTS method to investigate gate dielectric trap characteristics including type (acceptor or donor), position of the traps from the of Si/SiO 2 interface in the oxide, and along the channel, using the effect of gate bias on the mean carrier capture and emission times, and the number of active traps.
Low-frequency noise of HfO 2 /TiN nMOSFETs with different SiO x interfacial layer (IL) thicknesses is presented. It is observed that chemically formed thin ILs (0.4 nm, 0.45 nm and 0.5 nm) show a noise level close to...
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Low-frequency noise of HfO 2 /TiN nMOSFETs with different SiO x interfacial layer (IL) thicknesses is presented. It is observed that chemically formed thin ILs (0.4 nm, 0.45 nm and 0.5 nm) show a noise level close to a reference thermal IL(1 nm). This is shown to relate to the dominant contribution of the high-k HfO 2 traps in comparison to the IL traps. The average extracted values for effective trap densities in these wafers are N t = 7×10 18 , 1×10 19 , 2×10 19 and 4.8×10 19 for thermal oxide, 0.5 nm, 0.45 nm and 0.4 nm chemical oxide wafers respectively.
Theoretical investigation of the impact ionization and accompanying effects in InP submicron MOSFET/HEMT channels is performed by Monte Carlo Particle (MCP) simulation coupled with pseudo-2D Poisson equation. Main att...
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ISBN:
(纸本)9781479906680
Theoretical investigation of the impact ionization and accompanying effects in InP submicron MOSFET/HEMT channels is performed by Monte Carlo Particle (MCP) simulation coupled with pseudo-2D Poisson equation. Main attention is paid to the low-frequency microwave noise. It is shown that there takes place a sharp growth of the excess low-frequency noise near the threshold of the development of the instability originated by the uncontrollable process of the impact ionization. It is found that the spectrum of the excess low-frequency noise in the pre-threshold region manifests the 1/f behavior in the frequency region 0.1/1 GHz.
A review is presented for the physics-based flicker noise model developed to describe the origin of low-frequency fluctuations in LDMOS transistors. The model is based on the Unified 1/f Noise Model, but it considers ...
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A review is presented for the physics-based flicker noise model developed to describe the origin of low-frequency fluctuations in LDMOS transistors. The model is based on the Unified 1/f Noise Model, but it considers a more realistic spatial and energy distribution of traps in the dielectric instead of uniform trap distribution. It not only correctly computes the observed noise power spectral density in LDMOS, but it successfully predicts the degradation of noise characteristics with applied high voltage stress. We verified the model for two different technology samples that were fabricated in standard BiCMOS processes. This paper focuses on the analysis and modeling approach for the viability of the correlated carrier number and mobility fluctuation based 1/f noise model for LDMOSFETs. Observations from some recent approaches on LDMOS noise modeling are also highlighted here.
Recent advances in information extraction have led to huge knowledge bases (KBs), which capture knowledge in a machine-readable format. Inductive logicprogramming (ILP) can be used to mine logical rules from the KB. ...
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ISBN:
(纸本)9781450320351
Recent advances in information extraction have led to huge knowledge bases (KBs), which capture knowledge in a machine-readable format. Inductive logicprogramming (ILP) can be used to mine logical rules from the KB. These rules can help deduce and add missing knowledge to the KB. While ILP is a mature field, mining logical rules from KBs is different in two aspects: First, current rule mining systems are easily overwhelmed by the amount of data (state-of-the art systems cannot even run on today's KBs). Second, ILP usually requires counterexamples. KBs, however, implement the open world assumption (OWA), meaning that absent data cannot be used as counterexamples. In this paper, we develop a rule mining model that is explicitly tailored to support the OWA scenario. It is inspired by association rule mining and introduces a novel measure for confidence. Our extensive experiments show that our approach outperforms state-of-the-art approaches in terms of precision and coverage. Furthermore, our system, AMIE, mines rules orders of magnitude faster than state-of-the-art approaches.
In this paper, the authors present a study of a network fingerprinting classification using monotone multilayer perceptron neuronal networks. It is part of an overall performance engineering approach. The classificati...
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In this paper, the authors present a study of a network fingerprinting classification using monotone multilayer perceptron neuronal networks. It is part of an overall performance engineering approach. The classification is used to increase the performance of an active queue management on the quality of service for a next generation public safety communication system based on an IP overlay network. This network combines heterogeneous communication networks and technologies to increase the overall systems performance. Public safety users have higher requirements regarding coverage, data rates and quality of service than standard commercial ones. Main challenge for this study is the optimization of the overall system for voice group communication, which is still the most important communication within public safety scenarios. This paper shows that with the given parametrization, an ensemble of multi-layer perceptrons gives a satisfactory classification probability, if a setup of three technologies (EDGE, UMTS and LTE) is assumed to be in usage as communication technologies. This setup is practicable enough to have a chance to be implemented in a future system.
As we have embarked on the multi/many-core roadmap, resource management, especially managing parallelism, is left in the hands of programmers. A major challenge moving forward is how to off-load programmers from the d...
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ISBN:
(纸本)9781479910212
As we have embarked on the multi/many-core roadmap, resource management, especially managing parallelism, is left in the hands of programmers. A major challenge moving forward is how to off-load programmers from the daunting task of managing hardware resources in future parallel architectures to meet higher demands on performance and power efficiency. In this talk I will focus on a number of emerging technologies being developed at Chalmers and elsewhere that can help off-loading programmers from parallelism management. These include task-based dataflow programming models and transactional memory. I will also present a framework for resource management and recent findings concerning how to manage memory hierarchies more power efficiently.
Personal computing is going mobile and applications are changing to adapt to take advantage of new opportunities offered by permanent availability and connectivity. Mobile devices are a significant departure from trad...
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ISBN:
(纸本)9781479910212
Personal computing is going mobile and applications are changing to adapt to take advantage of new opportunities offered by permanent availability and connectivity. Mobile devices are a significant departure from traditional computing. On one hand, they are very personal, always on, always connected. They promise to fulfill the promise of being the hub for our digital lives. On the other hand, they are much more constrained in terms of resources than desktops. Even though progress in their computing capabilities has been staggering, they continue to rely on battery power and are packaged in appealing packages that are a nightmare for thermal dissipation. In this talk I will present the challenges facing programmers for mobile devices driven by architectural and packaging constraints, as well as the changes in applications domains. I will give examples on how we used concurrency to improve performance and power efficiency, in a number of projects at Qualcomm Research, including the Zoomm parallel browser.
The stream programming model has received a lot of interest because it naturally exposes task, data, and pipeline parallelism. However, most prior work has focused on static scheduling of regular stream programs. Ther...
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ISBN:
(纸本)9781479910212
The stream programming model has received a lot of interest because it naturally exposes task, data, and pipeline parallelism. However, most prior work has focused on static scheduling of regular stream programs. Therefore, irregular applications cannot be handled in static scheduling, and the load imbalance caused by static scheduling faces scalability limitations in many-core systems. In this paper, we introduce the DANBI programming model which supports irregular stream programs and propose dynamic scheduling techniques. Scheduling irregular stream programs is very challenging and the load imbalance becomes a major hurdle to achieve scalability. Our dynamic load-balancing scheduler exploits producer-consumer relationships already expressed in the stream program to achieve scalability. Moreover, it effectively avoids the thundering-herd problem and dynamically adapts to load imbalance in a probabilistic manner. It surpasses prior static stream scheduling approaches which are vulnerable to load imbalance and also surpasses prior dynamic stream scheduling approaches which have many restrictions on supported program types, on the scope of dynamic scheduling, and on preserving data ordering. Our experimental results on a 40-core server show that DANBI achieves an almost linear scalability and outperforms state-of-the-art parallel runtimes by up to 2.8 times.
This research introduces an innovative combination of wind energy distributed generation (WEDG) system and fuzzy logic based controllers providing a high value unified response to distribution network customer's n...
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ISBN:
(纸本)9781629931333
This research introduces an innovative combination of wind energy distributed generation (WEDG) system and fuzzy logic based controllers providing a high value unified response to distribution network customer's needs. This combination is uniquely placed to provide network customers with innovative integrated solutions making energy safer, more reliable, more efficient and more productive.
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