One of the most pressing issues with petascale analysis is the transport of simulation results data to a meaningful analysis. Traditional workflow prescribes storing the simulation results to disk and later retrieving them for analysis and visualization. However, at petascale this storage of the full results is prohibitive. A solution to this problem is to run the analysis and visualization concurrently with the simulation and bypass the storage of the full results. One mechanism for doing so is in transit visualization in which analysis and visualization is run on I/O nodes that receive the full simulation results but write information from analysis or provide run-time visualization. This paper describes the work in progress for three in transit visualization solutions, each using a different transport mechanism.
Australia's carbon-pricing policy remains in doubt due to a lack of bipartisan political support. A survey of Australian-based carbonpricing experts demonstrates profound policy uncertainty: 40 per cent of respondents expect the current carbon-pricing mechanism to be repealed, but 80 per cent expect that there will be a carbon price in 2020. The forward price curve is U-shaped and has great variance, with the 60 per cent confidence interval spanning from zero to A$25/t in 2020. Carbon policy uncertainty causes large excess costs in Australia's energy sector and may result in delay and diversion of investment.
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