As a new step for enhance the scientific research in Egypt, a group of researchers from Microsoft innovation center in Cairo with the participation of researchers from Nile University started working on a huge research project that aims to develop a tool that operates through the computer to perform comparisons on Genome sciences in order to use this tool on Windows platforms by using High-Performance Computing Clusters in CMIC HPC which is the new lab that has been inaugurated recently.

This lab was launched depending on the partnership between Microsoft and Nile University which aims to use the capabilities of HPC to develop a tool that operates through high performance computers to compare Genomes to contribute into the development of Bioinformatics and to ensure that this tool will be working in complete efficiency on Microsoft platforms and to test its performance and speed in accomplishing the required tasks and finally developing parallel processes that could be expanded and Algorithms maps that are capable of dealing with processing medical data operations.

Through this project, Microsoft Egypt and CMIC will contribute to developing the fields of vital information and research in Egypt, where developed technologies are needed to manage the vast amount of medical information by using HPC.

This technology will provide a number of basic applications that work in highly complicated fields like car manufacturing, space industry, economics, life sciences and geology.

Microsoft's HPC lab aims at achieving two main goals though long-term investment in Egypt: The first is to support scientific research through the lab and the second is to help Microsoft partners work in this field and provide them with the latest sites to implement those ideas – as well as providing specialized technical support in the field.

Karim Ramadan, Microsoft Egypt General Manager, says that the Windows HPC server 2008 blends the strong capabilities of Windows Server platforms with many other technical abilities that are ready to increase production level and decrease complexity in any HPC environment.