As the gap between processor and memory continues to grow, memory performance becomes a key performance bottleneck for many applications. Compilers therefore increasingly seek to m...
Sandya S. Mannarswamy, Ramaswamy Govindarajan, Ris...
Large-scale data analysis has become increasingly important for many enterprises. Recently, a new distributed computing paradigm, called MapReduce, and its open source implementat...
In this paper we present MRI, a high level interface for selective monitoring of code regions and data structures in single and multiprocessor environments. MRI keeps transparent ...
In recent years there has been an upsurge of interest in spatial databases. A major issue is how to manipulate efficiently massive amounts of spatial data stored on disk in multidi...
Lars Arge, Klaus Hinrichs, Jan Vahrenhold, Jeffrey...
The disparity between data collected in rural and urban counties is often detrimental in the appropriate analysis of cancer care statistics. Low counts drastically affect the inci...
Ross Maciejewski, Travis Drake, Stephen Rudolph, A...