  Moore's Law is running out. Instead of making powerful computer by increasing
number of transistor now we are moving toward Parallelism. Beowulf cluster
means cluster of any Commodity hardware. Our Cluster works exactly similar to
current day's supercomputers. The motivation is to create a small sized, cheap
device on which students and researchers can get hands on experience. There is
a master node, which interacts with user and all other nodes are slave nodes.
Load is equally divided among all nodes and they send their results to master.
Master combines those results and show the final output to the user. For
communication between nodes we have created a network over Ethernet. We are
using MPI4py, which a Python based implantation of Message Passing Interface
(MPI) and MPICH which also an open source implementation of MPI and allows us
to code in C, C++ and Fortran. MPI is a standard for writing codes for such
clusters. We have written parallel programs of Monte Carlo's Simulation for
finding value of pi and prime number generator in Python and C++ making use of
MPI4py and MPICH respectively. We have also written sequential programs
applying same algorithms in Python. Then we compared the time it takes to run
them on cluster in parallel and in sequential on a computer having 6500 core i7
Intel processor. It is found that making use of parallelism; we were able to
outperform an expensive computer which costs much more than our cluster.
