Answer / maruthi

SMP.)SYMTERRIC MULTI PROCESSING SMP:-ALL PROCESSORS WILL BE
USING SAME MEMORY DISK,MEMORY BUFFERS.HERE PROCESSCORS WILL
BE WAITING FOR DISK I/O PROCESS.
MPP:MASSIVELY PAPALLEL PROCESSING.)HERE EACH PROCESSOR WILL
BE HAVING IT'S OWN MEMORY AND MAMORY DEVICES,PHYISICALLY
ALL THIS PROCESSORS WILL EMBEDDED IN A SINGLE CABIN.AND
WILL COMMUNICATE THROUGH SHARED MEMORY BUSES.
CLUSTER M/C:) SAME AS MPP ,BUT PHYSICALLY THIS M/C ARE
HOUSED IN DIFFERENT CABINS AND WILL COMMUNICATE THROUGH
HIGH SPEED NETWORKS.

Answer / chenna

cluster machines is having so many nodes.
it is having smp,mpp.
SMP is symmetric multi processors
it having some nodes .

Answer / ramya

symmetric multiprocessing or SMP involves a multiprocessor
computer-architecture where two or more identical
processors can connect to a single shared main memory. Most
common multiprocessor systems today use an SMP
architecture. In case of multi-core processors, the SMP
architecture applies to the cores, treating them as
separate processors.
SMP systems allow any processor to work on any task no
matter where the data for that task are located in memory;
with proper operating system support, SMP systems can
easily move tasks between processors to balance the
workload efficiently.
Massive parallel processing (MPP) is a term used in
computer architecture to refer to a computer system with
many independent arithmetic units or entire
microprocessors, that run in parallel. The term massive
connotes hundreds if not thousands of such units. Early
examples of such a system are the Distributed Array
Processor, the Goodyear MPP, the Connection Machine, and
the Ultracomputer.
Today's most powerful supercomputers are all MP systems
such as Earth Simulator, Blue Gene, ASCI White, ASCI Red,
ASCI Purple, and ASCI Thor's Hammer.
In this class of computing, all of the processing elements
are connected together to be one very large computer. This
is in contrast to distributed computing where massive
numbers of separate computers are used to solve a single
problem.
The earliest massively parallel processing systems all used
serial computers as individual processing elements, in
order to achieve the maximum number of independent units
for a given size and cost.
Through advances in Moore's Law, single-chip
implementations of massively parallel processor arrays are
becoming cost effective, and finding particular application
in high performance embedded systems appplications such as
video compression. Examples include chips from Ambric,
picoChip, and Tilera.
Cluster
A computer cluster is a group of linked computers, working
together closely so that in many respects they form a
single computer. The components of a cluster are commonly,
but not always, connected to each other through fast local
area networks. Clusters are usually deployed to improve
performance and/or availability over that provided by a
single computer, while typically being much more cost-
effective than single computers of comparable speed or
availability

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