hpc-technical-updates

Rikky Purbojati, Research Computing, NUS Information Technology, on 17 April 2023

Artificial intelligence (AI) has been a popular topic of discussion for many decades, but with the advent of advanced algorithms and powerful computing systems, it has now become a reality. One of the most significant advancements in AI technology is the development of chatbots and language models like OpenAI’s ChatGPT. These systems have elevated people’s imagination beyond expectation and have the potential to revolutionise the way we interact with technology.

Miguel Dias Costa, Research Computing, NUS Information Technology, on 17 April 2023

A common first reaction of new users to shared computing resources such as HPC clusters is to ask, “why can’t I just use yum/apt/etc. to install the software I need?”
Package managers like yum and apt require administrative access and naturally users of a shared resource cannot be given administrative access as they have in their own laptops and desktops, but that’s not the only reason not to use such package managers.

Rikky Purbojati, Research Computing, NUS Information Technology, on 24 May 2022

Quantum computing is undeniably one of the most hyped technologies in recent years. With seemingly frequent advancements and milestone announcements, this field has attracted billions of investments into both established and nascent quantum computing vendors. The penultimate promise of quantum computers is that they will enable the computation of intractable problems that classic computers cannot easily solve.

Ku Wee Kiat, Research Computing, NUS Information Technology, on 11 May 2022

In this article, we will cover how to train a segmentation model using Detectron2 on your COCO-annotated dataset on NUS HPC GPU Cluster.

Wang Junhong, Research Computing, NUS Information Technology, on 6 June 2022

Artificial Intelligence (AI) adoption and Machine Learning (ML) have become hot topics and trends in many domains. In NUS, many researchers and students are carrying out AI training for various research projects. In this article, three interesting AI training projects carried out in the central AI/GPU platform will be shared by the statistics nature of the performance of the AI training and the researchers’ valuable feedback. The three researchers are selected from the list of top AI/GPU users in Q1 of 2022.

Kuang Hao, Research Computing, NUS Information Technology, on 17 May 2022

Anomaly detection is widely used in behavioural analysis to determine the types of anomalies occurring in a given data set. In domains such as fraud detection, intrusion detection, fault detection and system health monitoring, anomaly detection helps to avoid system damages and potential financial breaches.

Following up on our last article posted in 2020, we will introduce an additional complex machine learning algorithm in anomaly detection and demonstrate how we can do that on our HPC cluster in this article.

Rikky Purbojati, Research Computing, NUS Information Technology, on 13 February 2022

The New Year comes with (continuing) challenges and opportunities. The global shortage of chips and the emergence of the Omicron variant still poses a considerable risk in terms of delays and missed targets. However, new technologies and the maturing of emergent technologies continue to provide more opportunities for researchers to do exciting things and potentially advance their research work.

Yeo Eng Hee, Research Computing, NUS Information Technology, on 13 February 2022

Have you ever wished to easily set up your own private HPC server in the cloud to run your computations without getting professional help?  And after you are done with your computations, destroy everything so that you do not have to pay for idle cloud resources?

Kuang Hao, Research Computing, NUS Information Technology, on 13 February 2022

The research into Deep Learning is growing at a rapid rate over the years. With more and more researchers stepping into the realm of AI, the need to use popular pre-trained models and packages increases as well.

This article introduces the newly installed language models on NUS HPC and demonstrates how to make use of them.