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Cloud-based simulation for vehicle engineering

 

The Challenge

Analysing how air flows around a vehicle is essential to making it faster and more efficient. Physical testing is expensive due to the costs of models and test facilities. Computer simulation removes the need for these, and enables the engineers to make changes to the design more easily. However, simulating airflow with the required degree of accuracy requires computing power beyond the reach of most designers, mainly due to the capital costs of the equipment.

 

Cloud-based simulation of the binding capacities of target drug compounds

The Challenge

The journey for a drug from invention to market is a long one. It has been estimated that the time required to develop a new drug de novo ranges between 10 and 17 years; that is, if it ever makes it. The chance for a new drug to actually make it to market is only 1:5,000. These slim chances are accompanied by the high cost for developing a new drug, which may reach an average of US$ 403 million. These rising costs threaten to make the development of new drugs increasingly unaffordable for both companies and patients.

HPC-Cloud-based urban planning

The Challenge

The challenge of this case study is to demonstrate the use of such a tool, which requires the performance of an HPC system because of the scale of the simulations being addressed. Previously this tool had been used for small-scale simulations running on a workstation. In this case study, the workstation will be used to visualise the outcomes of the simulations running on a Cloud-based HPC system. A major objective will be to enable VE desktop installations and web-based interfaces to access the calculation resources hosted on an HPC-cloud infrastructure.