Embedded multiprocessor architectures present different constraints, and therefore challenges to the problems of partitioning and mapping parallel programs. They must typically optimize throughput and/or latency while...
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Embedded multiprocessor architectures present different constraints, and therefore challenges to the problems of partitioning and mapping parallel programs. They must typically optimize throughput and/or latency while satisfying placement, memory, and processor throughput constraints. This paper describes the algorithms, organization, and application of Genie - a set of tools for the partitioning and mapping of parallel programs for embedded multiprocessor architectures under such constraints. At one end Genie is tightly coupled into a commercial software development environment - Teamwork SA/RT. At the other it presents an interface to simulation and modeling tools. A example is presented of the application of this environment to an existing real-time embedded application - autonomous underwater vehicle (AUV).< >
We consider a worse case control oriented identification problem recently studied by several authors. This problem is one of the H∞ identification in the continuous time setting. We give a less conservative formulati...
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We consider a worse case control oriented identification problem recently studied by several authors. This problem is one of the H∞ identification in the continuous time setting. We give a less conservative formulation of this problem. The available apriori information consists of a lower bound on the relative stability of the plant, a frequency dependent upper bound on a certain gain associated with the plant, and an upper bound on the noise level. The available experimental information consists of a finite number of noisy plant point frequency response samples. The objective is to identify from the given apriori and experimental information an uncertain model that includes a stable nominal plant model and a bound on the modeling error measured in H∞ norm. Our main contributions include both a new identification algorithm and several new explicit lower and upper bounds on the identification error. The algorithm proposed belongs to the class of interpolatory algorithms which are known to possess a desirable optimality property under a certain criterion. The error bounds presented improve upon the previously available ones in both the aspects of providing a more accurate estimate of the identification error as well as establishing a faster convergence rate for the proposed algorithm.
This paper presents a fast, parallel method for mobile robot path planning. The technique is applicable to autonomous robots operating in an obstacle space populated by other similar co-operating robots, such as robot...
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A two-layer continuous-time cellular neural network for finding the Radon transform of a binary image is presented. The functionality of this cellular neural network follows from the functionality of the connected com...
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A two-layer continuous-time cellular neural network for finding the Radon transform of a binary image is presented. The functionality of this cellular neural network follows from the functionality of the connected component detector cellular neural network.
We present a technique for partitioning signal processing algorithms represented as signal flow graphs for execution on a hierarchically structured, heterogeneous multiprocessor architecture. We propose the use of an ...
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Our goal is to reconcile the conflicting demands of performance and fault-tolerance in interprocessor communication protocols. To this end, we propose a pipelined communication mechanism — pipelined circuit-switching...
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Any architectural or operational inefficiencies in multiprocessors with thousands of processors is likely to have a significant negative impact on the performance of the system. This paper examines two such issues in ...
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We analyze the temperature dependence and material properties of InGaAsP/lnP quarter wave mirrors used in optoelectronic devices such as surface emitting lasers and resonant cavity photodetectors. We measure the varia...
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The programmability (as a stored program) of the CNN Universal Machine is discussed first. It is shown why and in which sense this machine is universal. A new type of algorithm, the analogic one, is introduced. The ap...
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