China is funding the development of the world's first prototype supercomputer for exaflop computing. The speed of the system will be a quintillion operations per second. Such a capacity the country will send to support the program of marine research.
Improving performance of the disk subsystem is the most topical issue today. This is caused by the low cost of HDD that takes a leading position in the mass segment. More than a half of the resource-intensive applications have a "vulnerable spot" that are the spindle drives. In this case, everything does not depend on the bandwidth of SATA interface, but it depends on the physical capabilities of the mechanical components of the magnetic disk. The bandwidth of SATA-II and SATA-III interfaces makes 300MB/s and 600MB/s respectively, and the maximum performance that can provide a regular HDD does not exceed 150MB/s. Therefore, the transition to SATA-III-interface will be reasonable only for SSD, but it is not suitable for everyone.
In order to evaluate and to test the effectiveness of different types of disk subsystems were chosen following solutions:
1. OCZ RevoDrive X2 PCI-E SSD 100Gb
2. Plextor PX-128M2S SSD 128Gb
Each of us complained about the forecasters, when finds to be in the rain without an umbrella. In this article, we will tell you how to make a forecast based on the model WRF (Weather Research & Forecasting Model) for the several days in advance.
A few words about WRF
WRF is a numerical weather prediction model, which is suitable to predict the condition of the atmosphere, as well for research. It has been developed by the community of scientific organizations the United States, including the National Center for Atmospheric and Ocean, the National Center for Atmospheric Research.
It is a system of modules: the preparation module of initial and interfacial data (WRF Preprocessing System), it is the actual determinant core (Advanced Research WRF), the post-processing module (WRF Postprocessing System).
Most part of the model is implemented in the language fortran, which is using the library MPI. Modules are written on C for working with data. The model is available in the source codes.
Naturally, the model consumes an enormous amount of CPU time, and it is designed to run on supercomputers, since the weather forecast is one of the toughest tasks.