Year: 2019

By Ku Wee Kiat, Research Computing, NUS IT on 21 Oct, 2019

Tensorflow provides pre-built and pre-trained models in the Tensorflow Models repository for the public to use.
The official models are a collection of example models that use TensorFlow’s high-level APIs. They are intended to be well-maintained, tested, and kept up to date with the latest stable TensorFlow API. They should also be reasonably optimised for fast performance while still being easy to read.

By Yeo Eng Hee, Research Computing, NUS IT on 21 Oct, 2019

In our previous newsletter, we described how some of our HPC clusters in the shared resource pool are now running with compute nodes from the cloud. This was made possible with the implementation of a virtual private network between NUS and AWS, our cloud solution provider, extending our HPC into the cloud in a seamless manner. Job scheduling is still managed by PBS Pro, and the usual queuing is still necessary to ensure that jobs are scheduled in the cloud compute nodes in a fair manner.

By Vamshidhar Gangu, HPC Specialist, Research Computing, NUS IT on 21 Oct, 2019

The major crisis in research is reproducibility. How can one make sure to install the exact same software with its dependencies and ensure it produces the same output?

By Tan Chee Chiang, Research Computing, NUS IT on 21 Oct, 2019

With the recent partnership confirmation between NUS and AWS, researchers can now have a more extensive range of High Performance Computing (HPC) options to consider for their research computing needs. We will review some of these options.