Traditional methods for data mining typically make the assumption that data is centralized and static. This assumption is no longer tenable. Such methods waste computational and I/...
Adriano Veloso, Matthew Eric Otey, Srinivasan Part...
In this paper, we present a solution that allows systems to remain active while they are evolving. Our approach goes out from the principle of separated concerns and has two steps....
As multicore systems become the dominant mainstream computing technology, one of the most difficult challenges the industry faces is the software. Applications with large amounts ...
Hongtao Zhong, Mojtaba Mehrara, Steven A. Lieberma...
As the amount of available silicon resources on one chip increases, we have seen the advent of ever increasing parallel resources integrated on-chip. Many architectures use these ...
In modern wireless devices, two broad classes of compute-intensive applications are common: those with high amounts of data-level parallelism, such as signal processing used in wi...
Ganesh S. Dasika, Mark Woh, Sangwon Seo, Nathan Cl...