Supercomputing in Ventora

There are seven centers for supercomputing in Ventora. Their s work together to provide synergistic access to services and data warehousing for non-profit, educational, and governmental research and archival purposes. Distributed access to the Ventoran supercomputers is coordinated by Sistema de Supercomputación Ventora SCa ( Supercomputing System of Ventora, SSV), a quasi-governmental, limited liability non-profit organization with head offices at the Royal University of Plenas in Plenas,, Ventora.

History
Ventora’s economic system, the nature of which tends to preclude large corporations, has the side effect of constraining the abilities of private concerns to conduct extensive, large-scale research and development. While the government avoids interfering in market affairs, it does offer support to educational and scientific entities. In 1967, the Royal University of Plenas determined to develop a large-frame computing system to enhance research capabilities. The Tromba digital automatic computer began operating on March 16, 1969.

Around the same time, the University of Ascara was installing its own digital computer. The two universities agreed to interconnect their computers in 1972 after the Sanautock nuclear plant incident for the purpose of improving computing capability for scientific research. This became the basis for linking university computers in the country in what eventually became known as VUnet (Ventoran University network). By the end of the mid-1990s, nearly all universities in the country participated in the network.

With the development of Sinapse in the 1990s, computer development began to speed up. The Plenas Computing Center saw a need to replace its second generation computer. When the Tromba 3 entered service in 1997, it was given a direct connection to the supercomputers at the University of Ascara and the Polytechnic University of Aguazarca (UPA), inaugurating a dedicated high-speed, high bandwidth network. With increased demand for high-performance computing, the universities formed the SSV to prioritize computing capacity on the basis of resource requirements and anticipated results, a form of cost-benefit analysis.

By the end of the second decade of the 21st century, Ventora had seven interconnected supercomputers and a super data center supporting scientific research and archival needs.

Centers
SSV has oversight of seven supercomputing centers:
 * Plenas Supercomputing Center, Royal University of Plenas, Plenas, Arava
 * University of Ascara Computer Center, Ascara,
 * Aguazarca Supercomputing Center, Polytechnic University of Aguazarca, Aguazarca,
 * Central Supercomputing Center, University of Malcinca,
 * Northstar Computer Center, Kanakan University, Motril,
 * Castellano Supercomputer Center, Lora Polytechnic University, Lora,
 * Alsore Megacomputer Center, University of Alsore, Alsore,

The National Data Center (: Centro Nacional de Datos, CND) is a super center for data warehousing. The Commonweal Commission is the lead government agency responsible for the CND which the SSV operates under contract. The CND serves the supercomputer centers as repository and storage center while also minimizing repetitive and redundant computing through cross-referencing and cataloging. The CND is also the primary component of a major digital library scheme which supports all educational and research facilities in the country.

Functions
All of the supercomputing resources support state-of-the-art computing research efforts by scientific, educational, and non-profit research and development entities. The supercomputer owners largely underwrite the cost of their facilities while operating expenses are typically funded through assessments to users of the system based on complex formula that considers ability to pay, computing resources consumed, anticipated outcomes or benefits, and availability of underwriting funds, such as government grants or private donations. Types of research performed using the supercomputer system include:
 * Biosciences (genome and protein research)
 * Medical and pharmaceutical research
 * Bioeconomy and agricultural research
 * Weather forecasting
 * Fluid dynamics research and modeling
 * Geological and geophysical modeling; cartographic and geographic information services
 * Computer science and artificial intelligence modeling
 * Healthcare administration; public health modeling
 * Digital library and digital museum services