This paper describes the methodology and implementation of a data management system for highly distributed systems, which was built to solve the scalability and reliability proble...
Through the algorthmic design patterns of data parallelism and task parallelism, the graphics processing unit (GPU) offers the potential to vastly accelerate discovery and innovat...
Jeremy S. Archuleta, Yong Cao, Thomas Scogland, Wu...
Finding latent patterns in high dimensional data is an important research problem with numerous applications. The most well known approaches for high dimensional data analysis are...
The growing demand for large-scale data mining and data analysis applications has led both industry and academia to design new types of highly scalable data-intensive computing pl...
Yingyi Bu, Bill Howe, Magdalena Balazinska, Michae...
Pervasive context-aware software is an emerging kind of application. Smart personal digital assistants and RFID-based location sensing software are two examples. Many of these sys...