Science and Engineering field:
Parallel computing has been considered to be 'the high end of computing' and has been used to model difficult problems in many areas of science and engineering:
- Atmosphere, Earth, Environment
- Physics- applied, nuclear, particle, condensed matter, high pressure, fusion, photonics
- Bioscience, Biotechnology, Genetics
- Chemistry, Molecular Sciences
- Geology, Seismology
- Mechanical Engineering- from prosthetic to spacecraft
- Electrical Engineering, Circuit Design, Microelectrics
- Computer science, Mathematics
- Defense, Weapons
Commercial application provide and equal or greater driving force in the development of faster computers. These applications require the processing of large amounts of data in sophisticated ways. For example:
- Databases, data mining
- Oil exploration
- Web search engines, web based business services
- Medical imaging and diagnosis
- Pharmaceutical design
- Financial and economic modeling
- Management of national and multi-national corporations
- Advanced graphics and virtual reality, particularly in the entertainment industry
- Networked video and multi-media technologies
- Collaborative work environments
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