Sentence examples for purpose cluster from inspiring English sources
At Los Alamos National Laboratory, a special purpose cluster named "tebow," was constructed such to maximize available RAM per CPU, as well as leveraging swap space with solid state hard drives, to allow larger scale depletion calculations (allowing for significantly more burnable regions than previously examined).
This speaks to the difficulty in designing a general purpose clustering algorithm and the ill-posed problem of clustering.
Fingers mobbed in, and then for an instant the five smokers were melded in physical purpose, clustering to bell-jar Porter's match from the night's wind, each dipping a cigarette's tip to the flame.
Using workload traces of general purpose clusters we make the comparison and investigate under which conditions efficiency can be gained with the fine-grained policy.
Faced to the difficulty to design a general purpose clustering algorithm and to choose a good, let alone perfect, set of criteria for clustering a data set, one solution is to resort to a variety of clustering procedures based on different techniques, parameters and/or initializations, in order to construct one (or several) final clustering(s).
Two popular programs were chosen for this purpose, Cluster-Buster [49] and Stubb [50].
Typically, for this purpose clustering approaches to delineate molecular operational taxonomic units have been applied using arbitrary choices regarding the distance threshold values, and the clustering algorithms.
For this purpose, Clustering Agreement Ratio (CAR, see Methods section) has been used which considers both associated and non-associated genes.
Considering all these aspects together, the FALL3D execution times for a realistic test case running on general-purpose cluster architectures (Intel Sandy Bridge) decrease by a factor between 7 and 40 depending on the grid resolution.
Spark [8] is a general-purpose cluster computing system.
Unlike PCA that normally uses only two or three PCs for display purposes, cluster analysis uses all the variance or information contained in the original data set.
