Overleaf, an online collaborative scientific writing and publishing tool
Yeo Eng Hee, Research Computing, NUS Information Technology, on 28 May 2021
NUS IT has recently subscribed to Overleaf Commons, a subscription service by Overleaf, an 8-year-old start-up and social enterprise that provides modern collaborative authoring tools to help make science and research open and more transparent.
AR Tags and their Applications in Computer Vision Tasks
Ku Wee Kiat, Research Computing, NUS Information Technology, on 28 May 2021
Augmented Reality Tags or AR Tags in short are commonly used for augmented reality applications. Our focus today is not on the augmented reality applications of AR tags, instead we will be focusing on AR tags usage in computer vision tasks.
Topic Modelling with Language Transformers
Kuang Hao, Research Computing, NUS Information Technology, on 28 May 2021
A recurring subject in text analytics is to understand a large corpus of texts through topics. During the analysis of social media posts, online reviews, search trends, open-ended survey responses, understanding the key topics will always come in handy.
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.
» Running Abaqus in HPC Cloud: A Personal Experience
By Tang Haibin, Research Fellow, Mechanical Engineering, on 24 September 2020
A personal account on how computational efficiency of research work is improved when running in HPC Cloud
» Hadoop on AWS: Benefits of EMR
By Kumar Sambhav, Research Computing, NUS Information Technology, on 15 May 2020
Managing Big Data on Hadoop clusters has seen a lot of paradigm shift in the recent times. From Sysadmin managed clusters at the command line level to on-prem centrally managed platforms like Cloudera, Hortonworks and MapR. All of these platforms have a primary problem of being dependent on physical hardware resources. Read on to discover how EMR addresses this shortcoming in the cloud.
» Tackling HPC issue for parallel computing in MATLAB
By Vamshidhar Gangu, Research Computing, NUS Information Technology, on 15 May 2020
Tips on how to run MATLAB Parallel Computing Toolbox jobs properly in our HPC cluster. Potential conflict between multiple concurrent jobs is addressed in this article.
» New Computational Cluster in the Cloud
By Yeo Eng Hee, Research Computing, NUS Information Technology, on 15 May 2020
Over the past few articles in the HPC Newsletter, I have been writing on Cloud resources and how computational jobs can be run in the Cloud. The Research Computing team here has been working hard to make the Cloud resources available to registered HPC users in a secure and simple way, so that our HPC workloads can be run in the Cloud as well.
» Friendly Email Alert for HPC Batch Jobs
By Wang Junhong, Research Computing, NUS Information Technology, on 15 May 2020
A customised email alerting function is developed and enabled in the HPC system to send an email alert reporting the summary of jobs completed in the last hour to an individual user. So the individual user can get almost instant updates of his/her jobs via email App on a mobile devices anytime anywhere. This overcomes the inconvenience where users need to log into the HPC system from a computer terminal to check. Other useful information of the jobs can also be added into the alert report. Read on for more details.