ns2 project in Mississippi

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