Narrow Results

The Communication Machine brings to the multicomputer what vectorization brought to the uniprocessor. It provides the same tools to speed communication that have traditionally been used to speed computation; namely, the capability to program optimal communication algorithms on an architecture that can, to the extent possible, replicate their performance in terms of wall-clock time. In addition to the usual complement of logic and arithmetic units, each module contains a programmable communication unit that orchestrates traffic between the network and registers that communicate directly with comparable registers in neighboring modules. Communication tasks are performed out of these registers like computational tasks on a vector uniprocessor. The architecture is balanced in the sense that, on average, the speed of local and global memory is comparable. Theoretical performance is tabulated for both hypercube and mesh interconnection networks. The Communication Machine returns to the somewhat beleaguered, yet intuitive concept that the performance we ultimately seek must come from a truly massive number of processors.

The cycle model established here, for which the heat leakage and internal irreversibility are considered, consists of two irreversible non-isentropic adiabatic and two isomagnetic field processes. The working substance is composed of many non-interacting spin systems. Based on quantum master equation of an open system in the Heisenberg picture and semi-group approach, the general performance analysis of quantum refrigeration cycle is performed. Expressions for several important performance parameters, such as the cooling rate, coefficient of performance, rate of entropy production and power input, are derived. By using numerical calculations, the cooling rate as a natural optimization goal for a refrigerator is optimized with respect to external magnetic field. The characteristic curves of the cooling rate, rate of entropy production and power input subject to coefficient of performance are plotted. The optimal regions of the cooling rate, coefficient of the performance (COP) and temperatures of the working substance, are determined.