ns2 project in Mississippi
ns2 project in Mississippi the main reason for
this is that parallel applications utilize the middleware to
deploy and start execution, but then they execute independently
from the agents except in few special cases. The algorithm ns2 project in Mississippi is based on branch-and-bound search [21].
This problem required using many of JOPI’s primitives to
implement an efficient load-balanced solution. Broadcast
was used to distribute the original problem ns2 project in Mississippi object to
processes and to broadcast the minimum tour value found,
thus allowing other processes to update their minimum
value to speedup their search. Asynchronous ns2 project in Mississippi communication
is used by processes to overlap the reporting of their
results to the master with other tasks. The results, as shown
in Fig. 3, show good speedup with growing ns2 project in Mississippi number of
processors and fixed problem size.
6.1.3 Experiments on Heterogeneous Platforms
These experiments show the capabilities of the middleware
to support the execution of parallel applications on
heterogeneous platforms with minimum user ns2 project in Mississippi involvement.
All experiments used standard JVM sdk CSNT: 3 CPUs, Intel x86 700MHz, 1.5GB RAM, OS:
Windows 2000 advanced server.
. RCF: SGI Origin 2000, 32 processors, 250 MHz, 4MB
cache, 8GB RAM, OS: IRIX 6.5.13.
. Sandhills: Cluster, 24 nodes, dual 1.2 MHz AthlonMP,
256KB cache, 1GB RAM, OS: Linux. To fairly compare the performance, the sequential
running time for the program was measured on ns2 project in Mississippi each
platform. Speedup is calculated with respect to the fastest sequential time in the configuration used. A more formal
model to calculate the performance of parallel applications
on heterogeneous systems can be found in A dense ns2 project in Mississippi matrix multiplication (MM) algorithm [17] is used with load balancing
mechanism and synchronous point-to-point ns2 project in Mississippi communication. A matrix of size 1; 800 _ 1; 800 floating numbers was
used, with a stripe size of 300 rows or columns.
The algorithm used is the same as in Section 6.1.2, using the machines CSNT
and Sandhills. TSP was executed for 22 cities using different
configurations of heterogeneous processors from Sandhills The ns2 project in Mississippi infrastructure ns2 project in Mississippi provides a platform for parallel Java
using JOPI, which achieves good performance. However,
JOPI, in its current form, is most suitable for applications
that have high computation to communication ratio or
coarse grain parallelism, but can be optimized to handle
finer grain parallelism. In addition, the varying specifications
of the processors used indicate the possibility ns2 project in Mississippi of
achieving more speedup and faster response times by
distributing tasks based on their suitability to the platform.
For example, if some tasks require excessive ns2 project in Mississippi data sharing,
they can be assigned to a multiprocessor parallel machine,
while relatively independent tasks can be assigned to a
cluster.