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.
» 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.
» Understand Your HPC Usage Profile
by Wang Junhong, Research Computing, NUS Information Technology , on 24 September 2020
Each month an intuitive usage profiling of HPC resources will be generated for every HPC user. This will improve user experience and allow users to understand how well their jobs are performing in the aspect of number of jobs completed, waiting time vs running time, parallel speedup performance, efficiency, and memory usage. Such usage profiling data will not only help users to identify room for improvement in either the parallel performance or the memory utilisation of their HPC jobs, but also improve the overall HPC resources utilisation and planning for future expansion. Read on for more details.
» renv – Managing R Packages and Environment
by Vamshidhar Gangu, Research Computing, NUS Information Technology, on 24 September 2020
One of the major complaints within R community is that it is very hard to maintain project level package dependencies as R is continuously evolving with several releases within a year.
The renv package is a new effort to bring project-local R dependency management to your projects. This is a robust, stable replacement for the Packrat package, with fewer surprises and better default behaviours.
» AI/ML Drives Greater Enterprise HPC Adoption
By Tan Chee Chiang & Kuang Hao, Research Computing, NUS Information Technology, on 24 September 2020
Recent trends indicate that the proliferation of AI/ML applications has a positive effect on the adoption of HPC technologies by enterprises. We will analyse why that is happening and how it will benefit the HPC practitioners. This synergistic development of AI and HPC has also led to the renaming of this periodical to HPC-AI Newsletter.