Parallel and distributed computing has played a key role in enabling execution of several scientific applications over the past years. With advances in technology, it has changed its scope from small clusters of workstations to very large-scale datacenters, which providing Cloud computing services. This proceeding presents some of the current research in this area that have contributed to the 11th Australasian Symposium on Parallel and Distributed Computing (AusPDC 2013), held between 29 January--1 February 2013 in Adelaide, Australia in conjunction with the Australasian Computer Science Week (ACSW 2013). In 2010, Australasian Symposium on Grid Computing and e-Research (AusGrid) was broadened to include all aspects of parallel and distributed computing and hence was called as Australasian Symposium on Parallel and Distributed Computing. Following a couple of successful events, AusPDC has become the flagship symposium for Grid, Cloud, Cluster, and Distributed Computing research in Australia and New Zealand.
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A GPU-based method for computing eigenvector centrality of gene-expression networks
In this paper, we present a fast and scalable method for computing eigenvector centrality using graphics processing units (GPUs). The method is designed to compute the centrality on gene-expression networks, where the network is pre-constructed in the ...
Non-blocking parallel subset construction on shared-memory multicore architectures
We discuss ways to effectively parallelize the subset construction algorithm, which is used to convert non-deterministic finite automata (NFAs) to deterministic finite automata (DFAs). This conversion is at the heart of string pattern matching based on ...
Simseer and bugwise: web services for binary-level software similarity and defect detection
Simseer and Bugwise are online web services that perform binary program analysis: 1) Simseer identifies similarity between submitted executables based on similarity in the control flow of each binary. A software similarity service provides benefit in ...
Cloud-aware processing of MapReduce-based OLAP applications
As the volume of data to be processed in a timely manner soars, the scale of computing and storage systems has much trouble keeping up with such a rate of explosive data growth. A hybrid cloud combining two or more clouds is emerging as an appealing ...
Tools and processes to support the development of a national platform for urban research: lessons (being) learnt from the AURIN project
The development of large-scale software systems remains a non-trivial endeavour. This is especially so when the software systems comprise services and resources coming from multiple distributed software groups, and where they are required to ...
A web portal for management of aneka-based MultiCloud environments
Many Cloud providers offer services with different sets of configurations and settings. This makes it difficult for their clients to seamlessly integrate various services from different Cloud providers. To simplify, we developed an extendible Cloud Web ...
Index Terms
Proceedings of the Eleventh Australasian Symposium on Parallel and Distributed Computing - Volume 140
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Acceptance Rates
| Year | Submitted | Accepted | Rate |
|---|---|---|---|
| AusPDC '14 | 14 | 7 | 50% |
| AusPDC '13 | 13 | 6 | 46% |
| AusPDC '12 | 7 | 7 | 100% |
| AusPDC '11 | 14 | 6 | 43% |
| Overall | 48 | 26 | 54% |