There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
Many important applications, such as those using sparse data structures, have memory reference patterns that are unknown at compile-time. Prior work has developed runtime reorderi...
Michelle Mills Strout, Larry Carter, Jeanne Ferran...
Data-ferrying disconnection-tolerant networks allow remote rural areas to access the Internet at very low cost, making them viable alternatives to more expensive access technologi...
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
Recent techniques for multicast or broadcast delivery of streaming media can provide immediate service to each client request yet achieve considerable client stream sharing (i.e.,...