Abstract—Emerging 64bitOS’s supply a huge amount of memory address space that is essential for new applications using very large data. It is expected that the memory in connect...
Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
Many of the data-centric network services deployed today hold massive volumes of data at their origin websites, and access the data to dynamically generate responses to user reque...
Low-latency remote-write networks, such as DEC’s Memory Channel, provide the possibility of transparent, inexpensive, large-scale shared-memory parallel computing on clusters of...
Robert Stets, Sandhya Dwarkadas, Nikos Hardavellas...
Scientific applications often involve computation intensive workflows and may generate large amount of derived data. In this paper we consider a life cycle, which starts when the ...