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Symbolic Regression (SR) is the data driven search for mathematical relations as performed by a computer. In essence, SR is a search over all possible equations to find those which best model the data on hand. Prioritized Grammar Enumeration (PGE) is a recently proposed algorithm which has been shown to have great efficacy and efficiency on the Symbolic Regression problem, using just a single compute...
RDF datasets are an important source of big data. Many of them, however, are too large to fit on a single machine. One approach to address this is to partition the RDF graph across multiple machines, with each component residing on a single machine. A poor partition can incur significant communication costs, however, if as a result many queries involve multiple machines. A number of existing partitioning...
Computationally-demanding, parallel coupled models are crucial to understanding many important multi-physics/multiscale phenomena. Load-balancing such simulation son large clusters is often done through off-line, static means that often require significant manual input. Dynamic, runtime load-balancing has been shown in our previous work to be effective, but we still used a manually generated performance...
Semantic web techniques based on RDF are a promising approach to help make sense of the growing deluge in scientific data and conceptually integrate separately administered datasets. However, storing large datasets entirely on a single machine is not scalable, which has led to the concept of distributed triple stores. Existing triple stores, however, fail to take advantage of the non-uniform nature...
With growing of Semantic Web data, especially RDF data, managing large RDF dataset on a single machine does not scale well. Previous work has explored how to distribute RDF triples to multiple machines. However due to inefficient dataset partitioning used by these solutions, the performance of distributed store system is significantly affected. In this paper, we proposed a promising approach that...
Dynamic load balancing both within and between constituent subsystems is required to achieve ultra scalability in coupled multi physics and multi scale models. Inter constituent dynamic load balancing requires runtime resizing -- or malleability -- of subsystem processing element (PE) cohorts. In our previous work, we developed and introduced the Malleable Model Coupling Toolkit with a load balance...
Achieving ultra scalability in coupled multiphysics and multiscale models requires dynamic load balancing both within and between their constituent subsystems. Interconstituent dynamic load balance requires runtime resizing -- or malleability -- of subsystem processing element (PE) cohorts. We enhance the Malleable Model Coupling Toolkit's Load Balance Manager (LBM) to incorporate prediction of a...
The importance of XPath in XML filtering systems has led to a significant body of research on improving the processing performance of XPath queries. Most of the work, however, has been in the context of a single processing core. Given the prevalence of multicore processors, we believe that a parallel approach can provide significant benefits for a number of application scenarios. In this paper we...
In the technique known as network coordinates, the network latency between nodes is modeled as the distance between points in a metric space. Actual network latencies, however, exhibit numerous triangle inequality violations, which result in significant error between the actual latency and the distance as determined by the network coordinates. In this work, we show how graph clustering techniques...
The Common Instrument Middleware Architecture (CIMA) model for Web services based monitoring of remote scientific instruments is being extended and enhanced to provide a capability for remote instrument control. X-ray diffraction has been selected as an ideal domain for prototype development, with the goal being a comprehensive and feature rich portal system for access to remote instruments and their...
The Common Instrument Middleware Architecture (CIMA) is being used as a core component of a portal based remote instrument access system being developed as an Australian e-Science project. The CIMA model is being enhanced to use federated Grid storage infrastructure (SRB), and the Kepler workflow system to, as much as possible, automate data management, and the facile extraction and generation of...
A language for semi-structured documents, XML has emerged as the core of the Web services architecture, and is playing crucial roles in messaging systems, databases, and document processing. However, the processing of XML documents has a reputation for poor performance, and a number of optimizations have been developed to address this performance problem from different perspectives, none of which...
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