Parallel algorithms are normally designed for execution on networks of N processors, with N depending on the size of the problem to be solved. In practice there will be a varying problem size but a fixed network size. In Fishburn and Finkel (IEEE Trans. Comput. 31 (1982), 288–295), the notion of network emulation was proposed, to obtain a structure preserving simulation of large networks on smaller networks. We present a detailed analysis of the possible emulations for some important classes of networks, namely: the shuffle-exchange network, the cube network, the ring network, and the 2-dimensional grid. We also study the possibility of cross-emulations, and characterize the networks that can be emulated at all on a given network using some...
Network algorithms are deployed on large networks, and proper algorithm evaluation is necessary to...
AbstractÐWe illustrate the potential of techniques and results from the theory of network emulations...
We consider the simulation of large cube-connected cycles (CCC) and large butterfly networks (BFN) o...
Parallel algorithms are normally designed for execution on networks of N processors, with N dependin...
Parallel algorithms are normally designed for execution on networks of N processors, with N dependin...
Parallel algorithms are normally designed for execution on networks of N processors, with N dependi...
AbstractUniform emulations are a method to obtain efficient, balanced simulations of large processor...
In this paper, we survey the state of the art in real-time emulations of various bounded-degree netw...
Uniform emulations are a method to obtain efficient and structure-preserving simulations of large ne...
In this paper, we study the problem of emulating TG steps of an NG-node guest network, G, on an NH-n...
Developing analytical models that can accurately describe behaviors of Internet-scale networks is di...
Developing analytical models that can accurately describe behaviors of Internet-scale networks is di...
AbstractIn this paper we show that for each n, the order-n shuffle-exchange network can be emulated ...
[[abstract]]Efficient emulations provide general methods to convert algorithms designed on a network...
[[abstract]]Efficient emulations provide general methods to convert algorithms designed on a network...
Network algorithms are deployed on large networks, and proper algorithm evaluation is necessary to...
AbstractÐWe illustrate the potential of techniques and results from the theory of network emulations...
We consider the simulation of large cube-connected cycles (CCC) and large butterfly networks (BFN) o...
Parallel algorithms are normally designed for execution on networks of N processors, with N dependin...
Parallel algorithms are normally designed for execution on networks of N processors, with N dependin...
Parallel algorithms are normally designed for execution on networks of N processors, with N dependi...
AbstractUniform emulations are a method to obtain efficient, balanced simulations of large processor...
In this paper, we survey the state of the art in real-time emulations of various bounded-degree netw...
Uniform emulations are a method to obtain efficient and structure-preserving simulations of large ne...
In this paper, we study the problem of emulating TG steps of an NG-node guest network, G, on an NH-n...
Developing analytical models that can accurately describe behaviors of Internet-scale networks is di...
Developing analytical models that can accurately describe behaviors of Internet-scale networks is di...
AbstractIn this paper we show that for each n, the order-n shuffle-exchange network can be emulated ...
[[abstract]]Efficient emulations provide general methods to convert algorithms designed on a network...
[[abstract]]Efficient emulations provide general methods to convert algorithms designed on a network...
Network algorithms are deployed on large networks, and proper algorithm evaluation is necessary to...
AbstractÐWe illustrate the potential of techniques and results from the theory of network emulations...
We consider the simulation of large cube-connected cycles (CCC) and large butterfly networks (BFN) o...