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A parallel Lattice Boltzmann Method (pLBM), which is based on hierarchical spatial decomposition, is designed to perform large-scale flow simulations. The algorithm uses critical section-free, dual representation in order to expose maximal concurrency and data locality. Performances of emerging multi-core platforms—PlayStation3 (Cell Broadband Engine) and(More)
Missing data is a common problem for data quality. Most real datasets have missing data. This paper analyzes the missing data mechanisms and treatment rules. Popular and conventional missing data treatment methods are introduced and compared. Suitable environments for method are analyzed in experiments. Methods are classified into certain categories(More)
Epidemiologic studies correlate low vitamin C intake with bone loss. The genetic deletion of enzymes involved in de novo vitamin C synthesis in mice, likewise, causes severe osteoporosis. However, very few studies have evaluated a protective role of this dietary supplement on the skeleton. Here, we show that the ingestion of vitamin C prevents the(More)
BACKGROUND Acute myocardial infarction (AMI) is one of the leading causes for death in both developed and developing countries and it is the single largest cause of death in the United States, responsible for 1 out of every 6 deaths. The objective of this study was to determine microRNA (miRNA) expression in AMI and determine whether miR-133, miR-1291 and(More)
Stencil based computation on structured grids is a common kernel to broad scientific applications. The order of stencils increases with the required precision, and it is a challenge to optimize such high-order stencils on multicore architectures. Here, we propose a multilevel parallelization framework that combines: (1) inter-node parallelism by spatial(More)
Stencil computation (SC) is of critical importance for broad scientific and engineering applications. However, it is a challenge to optimize complex, high-order SC on emerging clusters of multicore processors. We have developed a hierarchical SC parallelization framework that combines: (1) spatial decomposition based on message passing; (2) multithreading(More)
Information Retrieval (IR) forms the basis of many information management tasks. Information management itself has become an extremely important area as the amount of electronically available information increases dramatically. There are numerous methods of performing the IR task both by utilising different techniques and through using different(More)
In this paper, we apply in-core optimization techniques to high-order stencil computations, including: (1) cache blocking for efficient L2 cache use; (2) register blocking and data-level parallelism via single-instruction multiple-data (SIMD) techniques to increase L1 cache efficiency; and (3) software prefetching techniques. Our generic approach is tested(More)
To evaluate the suitability and expressive power of JBOSS jBPM and jPDL, on the base of research on workflow patterns, this paper implements some workflow patterns in jBPM and jPDL with their flexibility and extensibility. It proposes some methods: adding scripts to implement multi-choice pattern; setting the node Joinpsilas attribute "is Discrimininator"(More)
We have developed a scalable hierarchical parallelization framework for molecular dynamics (MD) simulation on emerging multicore clusters. The framework combines: (1) inter-node level parallelism by spatial decomposition using message passing; (2) intra-node (inter-core) level parallelism through a master/worker paradigm and cellular decomposition using(More)