A multstatic frequency-modulated continuous wave (FMCW) radar system is under development for use in the control system of autonomous vehicles. The aim of the system, named Colarado, is the 3D location of obstacles in...
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A multstatic frequency-modulated continuous wave (FMCW) radar system is under development for use in the control system of autonomous vehicles. The aim of the system, named Colarado, is the 3D location of obstacles in the surrounding environment. In this paper a laboratory prototype system version, the demonstrator, is described and current results are presented.
In recent years, high performance computing underwent a deep transformation. In this paper, we review the state of parallel computation with detailed discussion of the current and future research issues in the area of...
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In recent years, high performance computing underwent a deep transformation. In this paper, we review the state of parallel computation with detailed discussion of the current and future research issues in the area of parallel architectures and compilation methods, instruction level parallelism and optimization methods to improve the performance of the memory hierarchy.
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.
To optimize the performance and reduce the emission levels of an internal combustion engine one needs some measurements of the combustion process duality. We propose two artificial neural network models which use the ...
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To optimize the performance and reduce the emission levels of an internal combustion engine one needs some measurements of the combustion process duality. We propose two artificial neural network models which use the ionization current for estimation of the position of the pressure peak and the air-fuel ratio. The pressure peak position model produces estimates on a cycle-by-cycle basis for each of the cylinders. These estimates are twice as good as estimates obtained from a linear model. The air-fuel ratio model uses the universal exhaust gas oxygen sensor as reference; it produces estimates that are ten times better than estimates obtained from a linear model.
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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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.
In massively parallel computersystems for embedded real-time applications there are normally very high bandwidth demands on the interconnection network. Other important properties are time-deterministic latency and s...
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In massively parallel computersystems for embedded real-time applications there are normally very high bandwidth demands on the interconnection network. Other important properties are time-deterministic latency and services to guarantee that deadlines are met. In this paper we analyze how these properties vary with the design parameters for a passive optical star network, specifically when used in a massively parallel radar signal processing system. The aggregated bandwidth and computational power of the radar system are approximately 45 Gb/s and 100 GOPS, respectively. The analysis is focused on the medium access control protocol, called TD-TWDMA, for the time and wavelength multiplexed network. It is concluded that the proposed network is very well suited to this kind of signal-processing applications. We also present a new distributed slot-allocation algorithm with real-time properties.
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