摘要:In the past decade, supercomputing has witnessed a paradigm shift from massively parallel
supercomputers to network computers. Though dedicated high end supercomputers still have their
place in the market yet combined unused CPU cycles of desktop PCs available in the campus network
can form comparable virtual supercomputers. Consequently, Parallel Processing in a network of PCs
are attracted a boost of attention and becoming one of the most promising areas of large scale scientific
computing. In this paper, we are presenting Grid-enabled PC Cluster (GPCC), exhibiting low latency
and bandwidth scalable sub-communication system. The design of the GPCC is such that it keeps in
view the socket buffer size of local and non-local nodes in the network environment. The design is
relatively easy to use, inexpensive to apply and extremely accurate. The highly accurate results
provided by TCP/IP ping-pong were coupled with parallel matrix multiplication benchmark. Parallel
Matrix Multiplication (PMM) performance benchmark is used to test the GPCC for node-to-node
network performance and parallel floating point performance of all involved processor in a local and
non-local cluster environment. PMM benchmark is developed on the basis of master-slave model using
dynamic distribution scheme.
关键词:Distributed Computing, Parallel Computing, Grid Computing, Local Area Network