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Monday01 March 2021

case study



The beginnings of the Duke-NUS medical school can be traced to 2000, when Singapore launched an ambitious Biomedical Sciences Initiative designed to make the country the biomedical hub of Asia. Duke-NUS Graduate Medical School was formally established in 2005 when Duke University and National University of Singapore signed an agreement under which the two institutions would partner to establish a new medical school. Since then Duke-NUS with its sophisticated state-of-the-art research facilities is building leaders in medical research, education and patient care.

Customer application: 3D reconstruction of dengue virus with different receptors and large simulation experiments. Application is time and computing power consuming and requires a lot of computing power.


Provide high-performance computing system that can efficiently speed up dengue virus research process and will accelerate dengue virus vaccine creation.


In order to facilitate the development of new and more effective dengue vaccines and therapeutics, the research team of the Emerging Infectious Diseases (EID) program at Duke-NUS needed a high performance computing solution.

Customer compared and tested several different architectures before deciding to continue its software application development for NVIDIA Tesla GPUs architecture as Tesla GPUs gave him the superior performance per dollar invested. Customer was evaluating multiple vendors through the open tender before choosing NOVATTE as its HPC provider. NOVATTEs’ flexible local testing facilities that allowed to built PoCs and conduct initial testing, in-depth HPC knowledge and experience of NOVATTE engineers, local same-hour technical support and NOVATTEs’ direct access to the latest Intel and NVIDIA technologies that allowed customer to evaluate future technologies and plan software coding for those technologies to maximize software performance were among the major strengths NOVATTE had over the peers and positively influenced customers’ decision making process.

Highly parallelized customer software code allowed NOVATTE to use X4000 and even X8000 GPU servers with just released at that time Tesla 2050s in its G10K with unified InfiniBand architecture allowing further HPC system scale outs. Further access to the latest Tesla GPU architectures and further testing allowed the customer to provision it’s coding accordingly and later painlessly scale the HPC system with Tesla 2070, Tesla 2075 cards and most recently with Tesla K10s. NOVATTE is continuing to work closely with NVIDIA to expand the customer’s HPC cluster further with Tesla K20s.


- Customer can now do more science every single day improving research efficiency and productivity
- NOVATTE unified HPC architecture allows outstanding scalability for the future performance increase
- Increased system uptime
- Peace of mind with 3 years technical support and comprehensive after-sales service

Case study

The Fraunhofer IDM@NTU (former CAMTech, NTU) is a joint research and development centre between the Fraunhofer Institute for Computer Graphics (Fraunhofer IGD) of Darmstadt, Germany and the Nanyang Technological University (NTU) of Singapore. The Fraunhofer IDM was established to conduct R&D activities in the broad technological area of advanced media. It focuses on applied R&D projects that are relevant to the immediate and future needs of Singapore and the region. Located on the NTU campus, the Fraunhofer IDM taps on the resources, expertise and R&D results from both IGD and NTU, fostering strong ties through research collaborations.



the Fraunhofer IDM@NTU (former CAMTech, NTU)
Researh, Government & Education
Deployment country:
GPU Computing
Technology Partner:

Business need

The Fraunhofer IDM conduct applied R&D projects in technological area of advanced media. The Centre hosts undergraduate and postgraduate students to participate in the R&D projects carried out at the centre. The Fraunhofer IDM team has researched extensively into computational biology and bio-informatics related projects, using the CUDA programming model to run computational experiments.


CUDA applications were tested and deployed on NOVATTE M40 Personal Supercomputers and G10K GPU Cluster Appliance. Built on the revolutionary massively parallel CUDA architecture and harnessing the power of the GPU technology, these solutions dramatically decrease applications runtime.

NOVATTE solution for NTU consists of a high-performance G10K GPU Cluster and M40 Personal Supercomputers accelerated by NVIDIA Tesla GPU cards. The cluster system is built on blocks consisted of NOVATTE Twin computing servers running 2 AMD Shanghai 4-Core processors and NVIDIA Tesla S1070 server. The cluster runs following software installed and tuned by NOVATTE team: Linux, RocksCluster, OFED, OpenMPI and Nvidia CUDA.

Solution at a glance:

1 x NOVATTE tailor-made G10K GPU Cluster (Peak Performance of 9TFlops)
4 x M40 Personal Supercomputers

Business Benefits

After accessing customer needs, NOVATTE specified the most appropriate configurations to meet the business requirements of the Fraunhofer IDM and provided the most cost-effective and scalable solution. Customization of all hardware and software according to customer requirements provided Fraunhofer IDM team with great value.

Being a single point of contact for the cluster procurement project, NOVATTE allows the Fraunhofer IDM researchers concentrate on their work, leaving system support and maintenance to our expertise.

Some of the applications developed and tested by Nanyang Technological University on NOVATTE platforms:


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