Chamara Philips

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We address the problem of tuning the performance of the Java Virtual Machine (JVM) with run-time flags (parameters). We use the Hot Spot JVM in our study. As the Hot Spot JVM comes with over 600 flags to choose from, selecting a subset manually to maximize performance is infeasible. In prior work, the potential performance improvement is limited by the fact(More)
The GeneWeaver bipartite data model provides an efficient means to evaluate shared molecular components from sets derived across diverse species, disease states and biological processes. In order to adapt this model for examining related molecular components and biological networks, such as pathway or gene network data, we have developed a means to leverage(More)
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