In this paper, we propose a high-bandwidth ring network built up with fiber-ribbon point-to-point links. The network has support for both packet switched and circuit switched traffic. Very high throughputs can be achi...
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In this paper, we propose a high-bandwidth ring network built up with fiber-ribbon point-to-point links. The network has support for both packet switched and circuit switched traffic. Very high throughputs can be achieved in the network due to pipelining, i.e., several packets can be traveling through the network simultaneously but in different segments of the ring. The network can be built today using fiber-optic off-the-shelf components. The increasingly good price/performance ratio for fiber-ribbon links indicates a great success potential for the proposed kind of networks. We also present a massively parallel radar signal processing system with exceptionally high demands on the communication network. An aggregated throughput of tens of Gb/s is needed in this application, and this is achieved with the proposed network.
We present a hierarchical technique, based on integer linear programming (ILP), to generate area-efficient layouts of relatively large complex CMOS cells in the two-dimensional (2-D or multi-row) style. First, the CMO...
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We present a hierarchical technique, based on integer linear programming (ILP), to generate area-efficient layouts of relatively large complex CMOS cells in the two-dimensional (2-D or multi-row) style. First, the CMOS circuit is partitioned into subcircuits called clusters. Next, the set of all minimum-width 1-D placements (chain covers) are generated for each cluster and form the input to the ILP model. The model aims at selecting exactly one cover for each cluster such that the overall 2-D cell width is minimized. In the process, all possible diffusion sharing between transistor chains belonging to clusters are considered; the inter-row connections that contribute to the overall cell width are also reduced. Experimental results demonstrate that the technique reduces run times by several orders of magnitude over non-hierarchical methods, and yields optimal or near-optimal layouts in most cases.
作者：
McCormick, MEBhattacharyya, RMouring, SEDr. Michael E. McCormick:is a research professor of civil engineering at The Johns Hopkins University. Before joining the Hopkins faculty in 1994
he was a professor of ocean engineering for twenty-five years at the U.S. Naval Academy. In addition he has held full-time faculty positions at Swarthmore College Trinity College (Hartford) and the Catholic University of America. He was also a hydrodynamicist at the David Taylor Model Basin for more than four years. Prof. McCormick received his undergraduate degree in mathematics and physics from AmericanUniversity a masters degree in applied mechanics and a Ph.D. in mechanical engineering from Catholic University a Ph.D. in civil engineering and a Sc.D. in engineering science from Trinity College in Dublin Ireland. He has over 100 publications including two books in the areas of ocean engineering wave mechanics and ocean wave energy conversion. He has also edited two books dealing with ocean engineering. In addition he is co-editor of both the journal Ocean Engineering and the Elsevier book series in ocean engineering. Dr. Rameswar Bhattacharyya:is professor of naval architecture at the U.S. Naval Academy
where he has served for twenty-six years and adjunct professor of mechanical engineering at The Johns Hopkins University. Prior to joining the Naval Academy faculty he was a faculty member in the Department of Naval Architecture and Marine Engineering at the University of Michigan. His research experience includes ten years at both the Lubecker Flender-Werke and the Hamburg Ship Model Basin in Germany. His research has led to numerous publications including two books one in the area of ship dynamics and the other in the area of computer-aided ship design. Prof. Bhattacharyya received his undergraduate degree in naval architecture from the Indian Institute of Technology and his doctorate in engineering from the Technical University of Hanover Germany. In addition he holds an honorary doctorate from the University of Veracruz. With Prof. McCormick he co
Panels and all other structural components of surface ships and submarines vibrate when the vessel is underway. The vibratory motions are primarily excited by the power plant. At operational (design) speeds, panels vi...
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Panels and all other structural components of surface ships and submarines vibrate when the vessel is underway. The vibratory motions are primarily excited by the power plant. At operational (design) speeds, panels vibrate in their fundamental modes and those associated with their higher harmonic frequencies. The panel motions have rather well-defined energy spectra, which depend on both the structural design, position of the panel and the rotational speed of the single or multiple power plants. The panel motions will interact with the vortices in the adjacent turbulent boundary layer. The interaction can result in either an increase in the frictional drag or a decrease. Because of this, the argument is made that the designs of the panels and their support systems should include considerations of this hydroelastic effect.
This paper discusses problems of identifying and estimating the reliability of complex real production systems in the constructing industry. The influence of the system structure on its reliability has been considered...
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This paper discusses problems of identifying and estimating the reliability of complex real production systems in the constructing industry. The influence of the system structure on its reliability has been considered. Types of elements and their connections in the system from the point of view of system reliability have been identified. The simulation method presented here allows to investigate the reliability of real systems, including the occurrence of inertia, variability of their structure and mutual dependence of reliability parameters of their elements. Two synthesis algorithms, (considering phase inertial in the estimation of system reliability), have been proposed and compared. On the basis of a machine system (loader-conveyor belt-material receiver), the utilisation of inertia to improve reliability characteristics of the system has been proved to be more effective than adding reserve elements to the system.
This paper describes and evaluates new methods for relation declustering in parallel databases. To process queries in parallel, relations are partitioned across multiple processors, typically by using the value of one...
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To exploit instruction level parallelism in programs over multiple basic blocks, programs should have reducible control flow graphs. However not all programs satisfy this property. A new method, called Controlled Node...
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Automatic fault diagnosis in power systems presents real challenges to computing technologies. As an alternative approach to expert systems, several neural network solutions have been proposed recently. In this paper ...
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Automatic fault diagnosis in power systems presents real challenges to computing technologies. As an alternative approach to expert systems, several neural network solutions have been proposed recently. In this paper a modular, neural network-based solution to power systems alarm handling and fault diagnosis is described that overcomes the limitations of 'toy' alternatives constrained to small and fixed-topology electrical networks. In contrast to monolithical diagnosis systems, the neural network-based approach presented here fulfills the scalability and dynamic adaptability requirements of the application. Mapping the power grid onto a set of interconnected modules that model the functional behaviour of electrical equipment provides the flexibility and speed demanded by the problem. The way in which the neural system is conceived allows full scalability to real-size power systems.
Next generation radar systems, with phase-controlled array antennas, will have to process data that is many times larger than in current systems. This requires an enormous computing power. Even in a relatively small a...
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Next generation radar systems, with phase-controlled array antennas, will have to process data that is many times larger than in current systems. This requires an enormous computing power. Even in a relatively small airborne radar system, with hard size and power consumption constraints, a sustained computing power of 40 GOPS (or 40 GFLOPS, if floating point calculations are used) will be needed to perform only the subset of the calculations known as the space-time adaptive processing (STAP). Consequently, there is a need for new parallel computing modules, as well as new overall system architectures and application development environments. In this paper a modular architecture with highly parallel SIMD-modules is presented as a promising solution, capable of handling STAP. A version of the architecture, equipped with bit-serial floating point processing elements, is described and evaluated. Implementation technology aspects are discussed.
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