Metacomputing in practice: a distributed compute server for pharmaceutical industry

We describe a distributed high-performance compute server that has been implemented for running compute-intensive applications on a mixture of HPC systems interconnected by Inter-and Intranet. With a practical industrial background, our work focusses on high availability, efficient job load balancing, security, and the easy integration of HPC computing into the daily work-flow at pharmaceutical companies.

The work was done in the course of the ESPRIT project P A Distributed Pharmaceutical Application Server The client software is implemented in Java. All results are displayed in a web browser and can be forwarded to the next stage of applications used in the drug design cycle. The server software handles the job load balancing between the participating HPC nodes and is capable of managing multi-site applications.

Our environment currently supports four key applications that are used in rational drug design and drug target identification. They range from the automatic functional annotation of protein sequences to three-dimensional protein structure prediction tools and protein comparison applications.