As VLSI technology has developed, the interest in implementing an entire or significant part of a parallel computer system using wafer scale integration is growing. The major problem for the case is the possibility of...
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(纸本)0818682596
As VLSI technology has developed, the interest in implementing an entire or significant part of a parallel computer system using wafer scale integration is growing. The major problem for the case is the possibility of drastically low yield and/or reliability of the system if there is no strategy for coping with such situations. Various strategies to restructure the faulty physical system into the fault-free target logical system are described in the literature. These restructures are performed using interconnection networks consisting of links and switches. Then the reliabilities of the systems depend on those of PEs and the interconnection networks. However, as far as we know, there are few studies considering the simultaneous faults of PEs and interconnection links. In this paper, by extending the Roychowdhury's algorithm, we propose a polynomial time algorithm for reconfiguring the 1 1/2 track-switch model compensating for simultaneous PEs and buses faults.
The stochastic version of classical discrete optimal control problems with a finite set of states and infinite time horizon is studied. An approach for determining the optimal stationary control in discrete processes ...
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The stochastic version of classical discrete optimal control problems with a finite set of states and infinite time horizon is studied. An approach for determining the optimal stationary control in discrete processes with deterministic and random states' transitions of the dynamical system is described. The main problem is formulated on networks and a polynomial time algorithm for its solving is proposed. An application of the proposed algorithm for a class of stochastic decision problems is described. (C) 2010 Published by Elsevier Ltd.
The stochastic version of classical discrete optimal control problems with a finite set of states and infinite time horizon is studied. An approach for determining the optimal stationary control in discrete processes ...
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The stochastic version of classical discrete optimal control problems with a finite set of states and infinite time horizon is studied. An approach for determining the optimal stationary control in discrete processes with deterministic and random states’ transitions of the dynamical system is described. The main problem is formulated on networks and a polynomial time algorithm for its solving is proposed. An application of the proposed algorithm for a class of stochastic decision problems is described.
In pliable index coding, we consider a server with m messages and n clients, where each client has as side information a subset of the messages. We seek to minimize the number of broadcast transmissions, so that each ...
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In pliable index coding, we consider a server with m messages and n clients, where each client has as side information a subset of the messages. We seek to minimize the number of broadcast transmissions, so that each client can recover any one unknown message she does not already have. Previous work has shown that the pliable index coding problem is NP-hard and requires at most O(log(2)(n)) broadcast transmissions, which indicates exponential savings over the conventional index coding that requires in the worst case O(n) transmissions. In this paper, building on a decoding criterion that we propose, we first design a deterministic polynomial-timealgorithm that can realize the exponential benefits, by achieving, in the worst case, a performance upper bounded by O(log(2)(n)) broadcast transmissions. We extend our algorithm to the t-requests case, where each client requires t unknown messages that she does not have, and show that our algorithm requires at most O(t log(n) + log(2)(n)) broadcast transmissions. We construct lower bound instances that require at least Omega(log(n)) transmissions for linear pliable index coding and at least Omega(t + log(n)) transmissions for the t-requests case, indicating that both our upper and lower bounds are polynomials of log(n) and differ within a factor of O(log(n)). We provide a probabilistic analysis over random instances and show that the required number of transmissions is almost surely Theta(log(n)), as compared with the Theta(n/log(n)) for index coding. In addition, we show that these upper and lower bounds also hold for vector pliable index coding in the worst case instances and the random graph instances, implying that vector coding does not provide benefits in terms of these bounds. Our numerical experiments show that our algorithm outperforms existing algorithms for pliable index coding by up to 50% less transmissions.
Graph isomorphism is an important problem in graph theory.A popular class of testing methods uses necessary conditions to refine the vertex partition iteratively with ***,these known algorithms need many more backtrac...
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Graph isomorphism is an important problem in graph theory.A popular class of testing methods uses necessary conditions to refine the vertex partition iteratively with ***,these known algorithms need many more backtracking operations so as to construct a search tree for testing and pruning which results in exponential time cost in the worst *** partition property of a necessary condition plays the key role in determining the efficiency of this kind *** on a more effective necessary condition we proposed previously,this paper develops an O(n 4) algorithm for undirected graph isomorphism using vertex partition and *** algorithm takes advantage of the intersecting operation on the vertex match set and the recursive property of the graph isomorphism resulting in the subgraph *** experiments on the Graph Database validated the correctness and the efficiency of this algorithm for graph isomorphism.
This paper discusses the use of polynomial time algorithm for solving the distribution path optimization of unit load automatic distribution system which was used in storage systems commonly,under the condition of spe...
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This paper discusses the use of polynomial time algorithm for solving the distribution path optimization of unit load automatic distribution system which was used in storage systems commonly,under the condition of specified goods consolidation and rectilinear norm movement mode,establishes the mathematical models according to the characteristics,uses the main circuit which is formed by the algorithm's directed graph as the optimal solution of the model problem,the time complexity of the algorithm is O(n),so it has great practical value.
This paper presents a new algorithm for computing the non-Archimedean epsilon in DEA models. It is shown that this algorithm is polynomial-time of 0(n), where n is the number of decision making units (DMUs). Also it i...
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This paper presents a new algorithm for computing the non-Archimedean epsilon in DEA models. It is shown that this algorithm is polynomial-time of 0(n), where n is the number of decision making units (DMUs). Also it is proved that using only inputs and outputs of DMUs, the non-Archimedean epsilon can be found such that, the optimal values of all CCR models, which are corresponding to all DMUs, are bounded and an assurance value is obtained. (C) 2003 Elsevier Ltd. All rights reserved.
Double patterning lithography (DPL) technologies have become a must for today's sub-32 nm technology nodes. Currently, there are two leading DPL technologies: self-aligned double patterning (SADP) and litho-etch-l...
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Double patterning lithography (DPL) technologies have become a must for today's sub-32 nm technology nodes. Currently, there are two leading DPL technologies: self-aligned double patterning (SADP) and litho-etch-litho-etch (LELE). Among them, SADP has the significant advantage over LELE in its ability to avoid overlay, making it the likely DPL candidate for the next technology node of 14 nm. In any DPL technology, layout decomposition is the key problem. While the layout decomposition problem for LELE has been well studied in the literature, only a few attempts have been made to address the SADP layout decomposition problem. In this paper, we present a polynomialtime exact (optimal) algorithm to determine if a given layout has SADP decompositions that do not have any overlay at specified critical edges. The previous approaches tried to minimize the total overlay of a given layout, which may be a problematic objective. Furthermore, all previous exact algorithms were computationally expensive exponential timealgorithms based on SAT or ILP. Other previous algorithms for the problem were heuristics without having any guarantee that an overlay-free solution can be found even if one exists.
The Euclidean multi-facility location (EMFL) problem is one of locating new facilities in the Euclidean space with respect to existing facilities. The problem consists of finding locations of new facilities which will...
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The Euclidean multi-facility location (EMFL) problem is one of locating new facilities in the Euclidean space with respect to existing facilities. The problem consists of finding locations of new facilities which will minimize a total cost function which consists of a sum of costs directly proportional to the Euclidean distances between the new facilities, and costs directly proportional to the Euclidean distances between new and existing facilities. In this paper, it is shown that the dual of EMFL proposed by Francis and Cabot is equivalent to the maximization of a linear function subject to convex quadratic inequality constraints and therefore can be solved in polynomialtime by interior point methods. We also establish a theorem on the duality gap and present a procedure for recovering the primal solution from an interior dual feasible solution.
The Satellite-Switched time-Division Multiple Access (SS/TDMA) is a technique effectively used in wideband communication satellites. A very important problem for SS/TDMA systems is the proper communications scheduling...
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The Satellite-Switched time-Division Multiple Access (SS/TDMA) is a technique effectively used in wideband communication satellites. A very important problem for SS/TDMA systems is the proper communications scheduling over the satellite equipment. This problem is equivalent to decomposing a given traffic matrix T into a positive linear combination of (0, 1)-matrices satisfying additional technology-dependant constraints. The sum of the multiplying constants represents the time taken by the satellite to handle the communications and must be minimum in order to achieve an efficient use of the equipment. A polynomialtime optimal algorithm for the SS/TDMA scheduling problem for systems with variable bandwidth beams and restricted multiplexing and demultiplexing is presented. As a corollary of the presented results, another generalization of the classical Birkhoff-von Neumann Theorem is established.
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