Services

Wang Junhong, Research Computing, NUS Information Technology, on 28 May 2021

The automated job submission tool for Fluent simulations has been improved smarter to not only optimise the utilisation of the software license resources and hardware CPU core resources, but also provide recommendations on the right job queue to use by using AI analysis to evaluate the likely waiting time. The tool has also been improved in the aspect of user-friendliness and additional functions, which are useful to all Fluent users.

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.

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.

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.

Kumar Sambhav, Research Computing, NUS Information Technology, on 21 January 2021

Containerization has brought a lot of ease to dev-ops, scientific computing, AI research and data analytics. Though containerization has its benefits, it becomes really tedious to manage containers for high scale application wherein hundreds if not thousands of containers need to be orchestrated. Kubernetes has emerged as the de-facto choice for container orchestration and management. Kubernetes simplifies a lot of things but has some management overheads of its own. The question which then arises is “Which form of Kubernetes deployment would be suitable for an organization?”

Yeo Eng Hee, Research Computing, NUS Information Technology, on 21 January 2021

The PBS Pro job scheduler is the ubiquitous tool in our HPC clusters, that takes care of the demanding task of managing all the HPC workloads running on each compute node in all our clusters.  With the introduction of the cloud, the computational clusters have become more dynamic and the cloud’s flexibility and agility allow us to create clusters that are more homogenous than the multi-generational hardware in our data centres.  As such, a new way of defining queues is introduced, to make it easier for users to specify their HPC jobs in the cloud.

Wang Junhong, Research Computing, NUS Information Technology, on 21 January 2021

MLPerf benchmark was carried out on one of the central shared 4-GPU servers with different configurations on the number of GPUs and the input batch sizes. The computing performance and the different configurations are compared. Good performance is demonstrated by the GPU server when running the MLPerf case on all 4 GPUs. Users are recommended to run a quick benchmark to find out the right GPU configuration and the right batch size to achieve optimal performance.