High Resolution Modelling of Weather and Climate over Singapore and Southeast Asia
Dr. Nguyen Ngoc Son & Dr. Sri Raghavan, Tropical Marine Science Institute, NUS, on 21 January 2021
The researchers from the Climate and Water Research cluster at the Tropical Marine Science Institute (TMSI) use the National Supercomputer Centre’s (NSCC’s) supercomputing resources to investigate how the climate and weather impact the region, by using complex computer models at high spatial resolutions of 400m over the entire Singapore.
Unlocking the interactive physics in two-phase chemically reacting flows with high-performance computing
Asst. Prof Zhang Huangwei, Department of Mechanical Engineering, NUS, on 21 January 2021
Two-phase chemically reacting flows widely exist in engineering practise, such as propulsion system, power generation, industrial hazard prevention, and nanomaterial flame synthesis. Normally they include dispersed droplets or particles in a continuous gas phase field, where elementary chemical reactions proceed. Comprehensive interactions occur between these two phases, which however renders it difficult to accurately articulate how the dispersed droplets behave and influence the reacting flow dynamics. As a research team in NUS, we aim to unveil the underlying interactive mechanisms behind the chemically reacting flows based on high-fidelity numerical simulations and advanced data analysis method.
» Starting Data Science with Julia
Ku Wee Kiat, Research Computing, NUS Information Technology, on 21 January 2021
This series aims to provide an introduction to Julia for Data Science.
For this article, we will cover the benefits of Julia, some resources to look into for performing machine learning and other related tasks with Julia.
» The Evolving Roles of HPC in Research and Enterprise Computing Support
Tan Chee Chiang, Research Computing, NUS Information Technology, on 21 January 2021
The last issue I shared about greater enterprise adoption of HPC resources and technologies due to the emergence of AI as a common application. This round we will look into how the NUS IT Research Computing (REC) team has evolved to stay relevant in this new HPC-AI era.