In the field of scientific computing and natural sciences such as physics, biology and different fields in mathematics have problems that deal with either massive amount of information and/or computation. How are these scientists or mathematicians going about solving these problems? Supercomputers have been used to give a lot of power of single 'machine' to solve a particular problems such as weather prediction and climate research. But they tend to be expensive.
The field of distributed computing or parallel computing has enabled the use of less-powerful but yet inexpensive cluster of computers that are connected via some network. Problems such as trying to decrypt possible messages from aliens (a.k.a. SETI@home project) , or trying to find large primes are being worked on by myriad of computers worldwide. Also, a conventional problems that previously required the use of mainframes now are solved or worked on by many clusters.
From many standpoints from heat transfer in physics to solving a graph theory problem in mathematics, this project will examine background information needed to solve the problems themselves, but at the same time, solve them in parallel.