On-chip interconnects provide a vital facility for highly parallel MultiProcessor Systems-on-Chip, particularly in data-intensive applications, where the choice of the underlying communication architecture, tailored on the particular application requirements, is critical to the global performance.
Accordingly, highly parallel microarray-based systems are a possible solution.
The Earth Simulator (ES), developed under the Japanese government's initiative "Earth Simulator project", is a highly parallel vector supercomputer system.
We introduce a highly parallel algorithm for L-system evaluation that works on arbitrary L-systems, including parametric productions, context sensitive productions, stochastic production selection, and productions with side effects.
Although the schematic models of these two systems use simple engineering approximations, the review stresses throughout that the actual systems involve highly parallel, distributed neural processing to carry out their eye-movement control function.
Thus, when supercomputers built with commercial operating systems around highly parallel arrays of standard processors tackle such challenges, they often perform at 5percentt of their rated speed or less.
The hardware target for the new algorithms is top-of-the-line, highly parallel hybrid architectures – multicore-based systems enhanced with GPGPUs.
We designed and implemented a highly optimised, massively parallel system using graphics processing units (GPUs), which achieves the reconstruction, motion correction, and analysis of 3D volume data in approximately 12.80 ms.
To efficiently solve the decoupled systems, we present a highly parallel solution strategy based on domain decomposition techniques.
