Scientific Computing & Nurturing New R&D Areas

Scientific Computing is essentially a multidisciplinary approach which is implemented in the context of problem solving to cater to the greater purpose of the organisation. The fundamental goal of Scientific computing is primarily to support the decision making process. Scientific Computing utilizes a lot of applied mathematics tools like linear algebra probability/statistics, algorithms and computer software engineering to come out with methods, theories and computer systems to solve complex numerical problems arising in spheres of natural sciences, humanities, engineering et al.

In scientific computing precise mathematical models of a particular area of study are prepared as alternatives to theoretical research. The models are then used for a computer based simulation to improve its performance and workability or to find out the best possible performance. In that way Scientific Computing is by no means an end in itself.

In nurturing Scientific Computing DIT has a twofold objective. First is to move further in value addition chain by driving use of supercomputers/high performance computers as a tool in scientific breakthroughs and providing solutions to problems of national importance in the country in a focused manner.

The second objective is to provide thrust for nurturing new R&D Areas for competitiveness and capability building and consolidating the ongoing R&D Work. Some of the ongoing R&D projects include the following:

• Projects

For Further Information

Mr. Ashok K. Sharma Scientist 'F' & HOD
Tera Scale Computing Division
Tel: +91-11- 2436 4753
Fax:+91-11- 2436 3123
E-mail: ashoks@mit.gov.in