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Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
Categories are the fundamental components of scientific knowledge and are used in every phase of the scientific process. However, they are often in a state of flux, with new observations, discoveries and changes in our conceptual understanding leading to the birth and death of categories, drift in their identities, as well as merging or splitting. Contemporary research tools rarely support such changes...
The book translation market is a topic of interest in literary studies, but the reasons why a book is selected for translation are not well understood. The "Beyond the Book" project investigates whether web resources like Wikipedia can be used to establish the level of cultural bias. This work describes the eScience tools used to estimate the cultural appeal of a book: semantic linking is...
Recently, emotions and their history have become a focus point for research in different academic fields. Traditional sentiment analysis approaches generally try to fit relatively simple emotion models (e.g., positive/negative emotion) to contemporary data. However, this is not sufficient for Digital Humanities scholars who are interested in research questions about changes in emotional expressions...
Swedish eScience Education (SeSE) is a national graduate school in eScience in Sweden. It comes from the collaboration between two major research initiatives in eScience and the school has turned out to be very successful. It has made it possible for students at different universities to get access to education that is not normally available at their home universities. With SeSE they get access to...
In modeling social interaction online, it is important to understand when people are reacting to each other. Many systems have explicit indicators of replies, such as threading in discussion forums or replies and retweets in Twitter. However, it is likely these explicit indicators capture only part of people's reactions to each other, thus, computational social science approaches that use them to...
How can GPU acceleration be obtained as a service in a cluster? This question has become increasingly significant due to the inefficiency of installing GPUs on all nodes of a cluster. The research reported in this paper is motivated to address the above question by employing rCUDA (remote CUDA), a framework that facilitates Acceleration-as-a-Service (AaaS), such that the nodes of a cluster can request...
There are many large scientific applications that have been actively developed for several decades. However, in this time the hardware has evolved considerably. It is taking large scientific applications a very long time to get adjusted to the new computing infrastructure. This is because porting these applications to new hardware, such as Graphics Processing Units (GPUs), currently requires a huge...
Scientific computing on grid infrastructures has historically focused on processing vast workloads of independent single-core CPU jobs. Limitations of this approach, however, have motivated a shift towards parallel computing using message passing, multi-core CPUs and computational accelerators, including GPGPUs in particular. Application support for the use of GPGPUs in existing grid infrastructures...
Generating and managing input data for large-scale scientific computations has, for many classes of application, always been a challenging process. The emergence of new hardware platforms and increasingly complex scientific models compounds this problem as configuration data can change depending on the underlying hardware and properties of the computation. In this paper we present TemPSS (Templates...
This paper describes a collaborative project between the Australian Urban Research Infrastructure Network (AURIN), the Australian Bureau of Statistics (ABS), the University of Queensland eResearch Lab and a number of social science research centres across Australia - that provides programmatic access to ABS Census data sets to enable its re-use within a range of research projects. The project successfully...
Finding new pulsars has always been a challenging problem, but this challenge is nowadays exacerbated by the increasing data rates of modern radio telescopes. Because of these increased data rates, traditional approaches to searching, based on storing data for off-line processing, are becoming unfeasible. Therefore, we propose a new pulsar searching pipeline that, by exploiting high-performance computing...
In the past forty years, the high-performance computing (HPC) community has been developing powerful and rigorous tools for predicting the performance of supercomputers from log traces. In this paper, we transform one of these approaches previously used for predicting idle resources in high-end clusters into a method for capturing extreme climate events in geographical locations of interest. Our method...
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