Academic Journal

The Use of Java in High Performance Computing: A Data Mining Example

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: The Use of Java in High Performance Computing: A Data Mining Example
Συγγραφείς: David Walker, Omer Rana
Συνεισφορές: The Pennsylvania State University CiteSeerX Archives
Πηγή: http://www.csm.ornl.gov/~walker/JAVA/./papers/hpcn99.ps.
Συλλογή: CiteSeerX
Θεματικοί όροι: Java Grande, High Performance Java, Parallel Computing, Neural Networks, Distributed Objects
Περιγραφή: The role of Java in high performance computing is discussed with particular reference to the efforts of the Java Grande Forum to develop Java into the environment of choice for large-scale, resourcehungry applications. The support provided in HPJava for the design of parallel Java programmes is outlined, and its use demonstrated with a data mining application based on a neural network. Keywords: Java Grande, High Performance Java, Parallel Computing, Neural Networks, Distributed Objects 1 Introduction High performance computing (HPC) refers to any application that is sufficiently large-scale to require more computing resources than are typically directly available on a desk-top computer. This includes, but is by no means limited to, (1) numerical computing applications in the physical sciences, engineering, and mathematics; (2) commercial applications such as data mining and financial modelling; (3) immersive virtual environments for training, simulation, and the exploration .
Τύπος εγγράφου: text
Περιγραφή αρχείου: application/postscript
Γλώσσα: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.41.8973; http://www.csm.ornl.gov/~walker/JAVA/./papers/hpcn99.ps
Διαθεσιμότητα: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.41.8973
http://www.csm.ornl.gov/~walker/JAVA/./papers/hpcn99.ps
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Αριθμός Καταχώρησης: edsbas.DB1F05B
Βάση Δεδομένων: BASE