Scientific, symbolic, and multimedia applications present diverse computing workloads with different types of inherent parallelism. Tomorrow’s processors will employ varying com...
Linda M. Wills, Tarek M. Taha, Lewis B. Baumstark ...
Cluster-based storage systems are popular for data-intensive applications and it is desirable yet challenging to provide incremental expansion and high availability while achievin...
Hong Tang, Aziz Gulbeden, Jingyu Zhou, William Str...
Software patterns have evolved into a commonly used means to design and implement software systems. Programming patterns, architecture and design patterns have been quite successfu...
Pattern discovery in sequences is an important problem in many applications, especially in computational biology and text mining. However, due to the noisy nature of data, the tra...
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...