the National Key Research and Development Program of China under Grant No.2017YFB1003103;the National Natural Science Foundation of China under Grant Nos.6143201&61432016,61332009,and 61521092;the National Science Foundation of USA under Contract Nos.CCF-1717877 and CCF-1629376;an IBM CAS Faculty Fellowship.
Increasingly there is a need to process graphs that are larger than the available memory on today's machines.Many systems have been developed with grapli representations that are efficient and compact for out-of-core ...
Project supported by the National Natural Science Foundation of China (Nos. 10232040, 10572002 and 10572003)
A new direct method for solving unsymmetrical sparse linear systems(USLS) arising from meshless methods was introduced. Computation of certain meshless methods such as meshless local Petrov-Galerkin (MLPG) method ...
In this paper we present a novel method for dividing and clustering large volumetric scalar out-of-core datasets. This work is based on the Ordered Cluster Binary Tree (OCBT) structure created using a top-down or divi...
More and more out of core problems that involve solving large amounts of data are researched by scientists. The computational grid provides a wide and scalable environment for those large scale computations. A new met...