Aspects of the processing of spacecraft data is considered. Use of the data array in a large address space as an intermediate form in data processing for a large scientific data base is advocated. Techniques for efficient indexing in data arrays are reviewed and the data array method for mapping an arbitrary structure onto linear address space is shown. A compromise between the two forms is given. The impact of the data array on the user interface are considered along with implementation
Abstract. The datasets generated by satellite observations and supercomputer simulations are overwhe...
Scientific data analysis typically involves reading massive amounts of data that was generated by si...
The VIS-AD data model integrates metadata about the precision of values, including missing data indi...
Multi-dimensional arrays (also known as raster data or gridded data) play a key role in many, if not...
Large scale scientific datasets are generally mod-eled as k-dimensional arrays, since this model is ...
As high-performance computing approaches exascale, the existing I/O system design is having trouble ...
Scientific applications are generating an ever-increasing volume of multi-dimensional data that are ...
Scientists today are able to generate data at an unprecedented scale and rate. For example the Sloan...
Thesis (Ph.D.)--University of Washington, 2014Scientists today are able to generate data at an unpre...
Datasets in large scale scientific data management, are often modeled as k-dimensional arrays. Eleme...
The scientic and analytical applications today are increasingly becoming data in-\ud tensive. Many s...
Database support for multidimensional raster data is a challenging, yet relatively unexplored field ...
Arrays are the simplest data structure used in any programming language. It is used to store element...
Datasets used in scientific and engineering applications are often modeled as dense multi-dimensiona...
Applications that query into very large multi-dimensional datasets are becoming more common. Many ...
Abstract. The datasets generated by satellite observations and supercomputer simulations are overwhe...
Scientific data analysis typically involves reading massive amounts of data that was generated by si...
The VIS-AD data model integrates metadata about the precision of values, including missing data indi...
Multi-dimensional arrays (also known as raster data or gridded data) play a key role in many, if not...
Large scale scientific datasets are generally mod-eled as k-dimensional arrays, since this model is ...
As high-performance computing approaches exascale, the existing I/O system design is having trouble ...
Scientific applications are generating an ever-increasing volume of multi-dimensional data that are ...
Scientists today are able to generate data at an unprecedented scale and rate. For example the Sloan...
Thesis (Ph.D.)--University of Washington, 2014Scientists today are able to generate data at an unpre...
Datasets in large scale scientific data management, are often modeled as k-dimensional arrays. Eleme...
The scientic and analytical applications today are increasingly becoming data in-\ud tensive. Many s...
Database support for multidimensional raster data is a challenging, yet relatively unexplored field ...
Arrays are the simplest data structure used in any programming language. It is used to store element...
Datasets used in scientific and engineering applications are often modeled as dense multi-dimensiona...
Applications that query into very large multi-dimensional datasets are becoming more common. Many ...
Abstract. The datasets generated by satellite observations and supercomputer simulations are overwhe...
Scientific data analysis typically involves reading massive amounts of data that was generated by si...
The VIS-AD data model integrates metadata about the precision of values, including missing data indi...