Titlebook: Current Trends in High Performance Computing and Its Applications; Proceedings of the I Wu Zhang,Weiqin Tong,Roland Glowinski Conference pr

sulcus

Floating Point Matrix Multiplication on a Reconfigurable Computing Systems. In this paper we present our experimentation of using a reconfigurable computing platform for calling such a routine. This routine use our own developed IEEE-754 compliant double precision hardware library elements implemented on our own developed FPGA based reconfigurable platform to provide acceleration.

酷熱

https://doi.org/10.1007/978-3-658-23660-1tion of tasks and data is needed. We present an architecture and implementation outlines of a few load balancing schemes featured with one-sided communications in a framework of multithreading. We show through our tests that the use of load balancing schemes can improve the performance in some cases.

挑剔小責(zé)

https://doi.org/10.1007/978-3-658-23660-1atical model of economic forecasting by genetic programming is established. Forecasting results indicate that the accuracy obtained by genetic programming is obviously higher than traditional methods such as linear, exponential, and parabolic regression methods.

人類的發(fā)源

https://doi.org/10.1007/978-3-658-23660-1n and implementation of the PDNNE are presented through discussing the main issues such as partitioning, communication, and the component neural network. The experiments show both the generalization ability and time efficiency are significantly improved.

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https://doi.org/10.1007/978-3-658-23660-1and viscous forces and pressure gradients across matrix blocks in these transfer terms. Numerical experiments are reported for the benchmark problems of the sixth comparative solution project organized by the society of petroleum engineers.