Scientific Data Management at the Johns Hopkins Institute for Data Intensive Engineering and Science

摘要

Scientific computing has long been one of the deep and challenging applications of computer science and data management, from early endeavors in numerical simulation, to recent undertakings in the life sciences, such as genome assembly. Complex computational problems abound and their solutions transform our understanding of the physical world. The data management community's interest in scientific applications has grown over the last decade due to the commoditization of parallelism, diminishing system administration costs, and a search for relevance beyond enterprise applications.