An inductively-degenerated common-source (CS) open-drain cascode LNA was designed for W-CDMA application. The operating frequency for the design was at 2.14 GHz which is at the center of the reception range Of the W-C...
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ISBN:
(纸本)9781424413072
An inductively-degenerated common-source (CS) open-drain cascode LNA was designed for W-CDMA application. The operating frequency for the design was at 2.14 GHz which is at the center of the reception range Of the W-CDMA standard. The supply voltage is 1.8V at 0.18 mu m CMOS process. The LNA was designed using power-constrained noise optimization method in obtaining the width of the transistor of 290 gm. Post-layout simulations with distributed resistors and capacitors were performed. On-chip inductors with quality factor of 8 were utilized to resonate with the metal-insulator-metal capacitor (mimcap). The mimcap was also used to isolate V-DD and ground. The input was 50 Omega matched using the transistor as well as an inductor at the gate and three parallel 1.65 nH inductors acting as a 0.55 nH degeneration inductor at the source. Detailed design steps are described in this paper wih plots of the post-layout simulation and measurement results provided. These plots are analyzed extensively in this paper and justification for the errors are given. The 12.8 dB of S-21 obtained from the post-layout and a much less 7.8 dB from the measurement shows that there is an offset by 5 dB. Derivations are given to show that the unmatched output is the cause of the gain offset. S-11 is measured at -24 dB which is very close to the simulated value of -25.4 dB. The current measured and simulated at a bias voltage of 0.65 V is 4.1 mA.
Virtual observatories will give astronomers easy access to anunprecedented amount of data. Extracting scientific knowledge from these data will increasingly demand both efficient algorithms as well as the power of par...
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ISBN:
(纸本)1595937145
Virtual observatories will give astronomers easy access to anunprecedented amount of data. Extracting scientific knowledge from these data will increasingly demand both efficient algorithms as well as the power of parallel computers. Nearly all efficient analyses of large astronomical datasets use trees as their fundamental data structure. Writing efficient tree-based techniques, a task that is time-consuming even on single-processor computers, is exceedingly cumbersome on massively parallel platforms (MPPs). Most applications that run on MPPs are simulation codes, since the expense of developing them is offset by the fact that they will be used for many years by many researchers. In contrast, data analysis codes change far more rapidly, are often unique to individual researchers, and therefore accommodate little reuse. Consequently, the economics of the current high-performance computing development paradigm for MPPs does not favor data analysis applications. We have therefore built a library, called Ntropy, that provides a flexible, extensible, and easy-to-use way of developing tree-based data analysis algorithms for both serial and parallel platforms. Our experience has shown that not only does our library save development time, it can also deliver excellent serial performance and parallel scalability. Furthermore, Ntropy makes it easy for an astronomer with little or noparallel programming experience to quickly scale their application to a distributed multiprocessor environment. By minimizing development time for efficient and scalable data analysis, we enable wide-scale knowledge discovery on massive datasets. Copyright 2007 ACM.
The proceedings contain 30 papers. The topics discussed include: improving lookahead in parallel multiprocessor simulation using dynamic execution path prediction;the distributed open network emulator: using relativis...
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ISBN:
(纸本)0769525873
The proceedings contain 30 papers. The topics discussed include: improving lookahead in parallel multiprocessor simulation using dynamic execution path prediction;the distributed open network emulator: using relativistic time for distributed scalable simulation;performance analysis of shared data access algorithms for distributedsimulation of multi-agent systems;predicting performance of resolution changes in parallelsimulations;what comes after the semantic web? PADS implications for the dynamic web;discrete-event execution alternatives on general purpose graphical processing units;developing an hierarchical simulator for Beta-binders;greedy algorithms for client assignment in large-scale distributed virtual environments;and interest operators: facilitating attribute interest criteria for formula-based interest management in distributed virtual environments.
A master/worker paradigm for executing large-scale parallel discrete event simulation programs over network-enabled computational resources is proposed and evaluated. In contrast to conventional approaches to parallel...
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simulation performance is dominated by lookahead in null message-based conservative time management of parallel discrete event simulation (PDES). This paper proposes a scheme for software execution path prediction to ...
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parallelsimulation techniques are designed to increase simulation model performance by exploiting model concurrency. Unfortunately, designing efficient parallelsimulations is not always an easy task. Most existing t...
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The proceedings contain 60 papers. The topics discussed include: design of decentralized capturing behavior by multiple mobile robots;robotic formation control using variable structure systems approach;a distributed a...
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ISBN:
(纸本)076952589X
The proceedings contain 60 papers. The topics discussed include: design of decentralized capturing behavior by multiple mobile robots;robotic formation control using variable structure systems approach;a distributed architecture for mobile multirobot remote interaction;sensing locations positioning for multi-robot inspection planning;a new evaluation method of communication for distributed control;disturbance detection, recover and prediction in holonic manufacturing control;software agents or ambient intelligence based manufacturing;agent infrastructure for distributed control and interoperability;multi-agent system enhanced supervision of process automation;a brace of agent simulation scenarios;early requirement guidelines for multiagent system modeling;developing agents for electricity trade markets;multi-agent framework for distributed trading;and an investigation into the use of collaborative concepts for planning in disaster response coalitions.
In dynamic bulk synchronous computations, processors may change their workloads from phase to phase. Such workload change will possibly increase the duration of a phase and the overall parallel execution time. Therefo...
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ISBN:
(纸本)0769521320
In dynamic bulk synchronous computations, processors may change their workloads from phase to phase. Such workload change will possibly increase the duration of a phase and the overall parallel execution time. Therefore, it is necessary to redistribute workload at runtime to reduce the parallel time. However, such workload redistribution at runtime can be expensive and the overhead of frequent runtime workload redistribution may exceed the benefit of workload redistribution and balancing. The problem of finding the optimal period of runtime workload redistribution for dynamic bulk synchronous computations is motivated by the combined consideration of parallel execution time and system overhead for workload redistribution and balancing. We develop an analytical method to solve the problem in heterogeneous computing systems. We also demonstrate numerical data of the analytical method and simulation results that verify the analytical data.
simulation is a low cost alternative to experimentation on real-world physical systems. Grid technology enables coordinated use of and secure access to distributed computing resources and data sources. The service-ori...
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This paper presents the parallel numerical simulation of 3-D compressible strongly rotating viscous flows by solving Navier-Stokes equations using meshless Least Square Kinetic Upwind Method (LSKUM) solver. The paper ...
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This paper presents the parallel numerical simulation of 3-D compressible strongly rotating viscous flows by solving Navier-Stokes equations using meshless Least Square Kinetic Upwind Method (LSKUM) solver. The paper describes the LSKUM solver and also addresses the various issues that arise while parallelisation is carried out for LSKUM-NS code for viscous compressible flows using a typical distributed memory architecture. The computational fluid dynamic (CFD) simulation showed a large sized subsonic pocket with a vortex ahead of the stationary body. The parallel meshless CFD code coupled with diffusion and optimization code is capable of solving many viscous rotating flows.
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