This paper presents our approach to research and development in relation to four applications in which utilization of simulations in super-large-scale computation systems is expected to serve useful purposes.
This white paper provides information on the latest Dell HPC General Research Computing Solution based on the Dell 13th Generation servers. The solution supports new generation Intel Xeon E5-2600 v3 based PowerEdge servers targeted to provide optimal performance and dense compute power.
The rapid evolution of big data technology in the past few years has changed forever the pursuit of scientific exploration and discovery. Along with traditional experiment and theory, computational modeling and simulation is a third paradigm for science. Its value lies in exploring areas of science in which physical experimentation is unfeasible and insights cannot be revealed analytically, such as in climate modeling, seismology and galaxy formation. More recently, big data has been called the “the fourth paradigm” of science.
Daniel Gutierrez, Managing Editor, of insideBIGDATA has put together a terrific Guide to Scientific Research. The goal of this paper is to provide a road map for scientific researchers wishing to capitalize on the rapid growth of big data technology for collecting, transforming, analyzing, and visualizing large scientific data sets.
The overwhelming task of high performance computing today is the processing of huge amounts of data quickly and accurately. Just adding greater numbers of more intensive, sophisticated servers only partially solves the problem.
A new report shows that the American research community is already experiencing extreme setbacks as a result of sequestration. Produced by the American Society for Biochemistry and Molecular Biology along with 15 other science organizations, the report is based on a nationwide, online survey designed to measure the effects of the faltering federal investment on scientists and the research they are trying to conduct.