QCIF helps Griffith clean energy researcher gain more time on national supercomputers

Dr Yun WangSummary

Through QCIF, a Griffith University renewable energy researcher has taken his work to the next level with all-important access to national high-performance computers.

Before contacting QCIF, Dr Yun Wang of Griffith’s Centre for Clean Environment and Energy was facing the very real possibility of having to stop computational research due to a lack of HPC resources. 

QCIF, however, was able to gain his research team more time on the National Computational Infrastructure’s (NCI) supercomputer via QCIF’s share, and Yun has been using this ever since. QCIF also helped him to connect with the Pawsey Supercomputing Centre to use its HPC.

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Cloud Computing Enables Genomics Researchers To Devote More Time And Resources To Research

Thom Cuddihy (left), a QCIF/RCC bioinformatician and software developer, demonstrates the cloud compute environment to Microbial Genomics Lab student Budi Permana. (Photo: Rhys White, Beatson Lab.)Summary

In a bid to reduce time and financial constraints, the University of Queensland’s Microbial Genomics Lab is increasingly using free cloud computing resources, such as QCIF’s, for a range of ARC and NHMRC-funded projects that use genomics to investigate multi-drug resistant superbugs.
 
For the lab, QCIF developed a customised version of a virtual laboratory compute cluster on QRIScloud, QCIF’s cloud computing service. This infrastructure will support rapid investigation of healthcare-associated bacterial outbreaks as part of the Queensland Genomics Health Alliance project.
 
The Microbial Genomics Lab previously relied on in-house IT hardware to run bioinformatics analyses, which require high-performance compute environments. However, increased computational demands, and associated administrative overheads, led the lab’s team to seek alternatives to obtaining and maintaining their own expensive HPC hardware.

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QRIScloud-Powered App To Increase Profitability Of Australia’s Cattle Industry

Dave SwainSummary

CQUniversity-developed DataMuster is a groundbreaking animal monitoring Web application that links biology with technology, combining automated livestock management hardware, such as weighing systems, with cutting-edge software so that beef producers have a precise and real-time understanding of individual animal performance.
 
With DataMuster, farmers can make informed decisions to improve cattle genetics, cattle management and supply chain management.
 
After a two-year pilot trial involving six farms and Queensland’s Belmont Research Station, DataMuster is now being offered as a commercial service.
 
QRIScloud, QCIF’s cloud computing service, provides the server to run the app and hosts the data automatically collected from DataMuster-using farms.

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USQ Researchers Tackle Australian Agriculture’s Weed Problem

A sprayer using dye to test the accuracy of USQ’s weed maps. (Image: Centre for Agricultural Engineering, USQ.)Summary

University of Southern Queensland researchers are using drones to map farms to help form a more targeted, lower-cost and environmentally-friendly approach to eliminating weeds.
 
The aim is to develop a commercial system to reduce the use of herbicides when using existing weed-spraying technology.
 
Large volumes of aerial imagery and drone data being collected by the USQ team during the project’s current trial period are stored and managed on QCIF’s QRIScloud, a cloud computing service for Queensland researchers.
 
Weeds have a devastating economic impact on Australian agriculture. The federal Department of the Environment and Energy estimates weeds cost Australian farmers $1.5 billion a year in weed control activities and a further $2.5 billion a year in lost agricultural production.

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