%0 Journal Article %1 noauthororeditor %A Vijay Dhir, Dr. Rattan K Datta %A Dutta, Dr. Maitreyee %D 2011 %J International Journal of Grid Computing & Applications (IJGCA) %K Computational Continuity, Grid, Inter Machin's Maclaurin Momentum, Thermodynamic, Thread, formula, series. %N 4 %P 1/11 %R 10.5121/ijgca.2011.2404 %T Nimble@ITCEcnoGrid: A Grid in Research Domain for Weather Forecasting %U http://airccse.org/journal/ijgca/papers/2411ijgca04.pdf %V 2 %X Computer Technology has Revolutionized Science. This has motivated scientists to develop mathematical model to simulate salient features of Physical universe .These models can approximate reality at many levels of scale such as atomic nucleus, Earth’s biosphere & weather/climate assessment. To solve these type of complex problems in usable time frame , there is a need of high performance powerful computer mechanism which can do the calculations in a time bound with high precision. If the computer power is greater, the greater will be the accuracy in approximation i.e. close will be the approximation to the reality. The speed of the computer required for solution of such problems require computers with processing power of teraflops to Pets flops speed.. The way to speed up the computation is to “parallelize” it i.e. divide the work into modules that can be worked on by separate processors at the same time. Thus we can solve the problems that are Non-Polynomial form in polynomial time.

@article{noauthororeditor, abstract = {Computer Technology has Revolutionized Science. This has motivated scientists to develop mathematical model to simulate salient features of Physical universe .These models can approximate reality at many levels of scale such as atomic nucleus, Earth’s biosphere & weather/climate assessment. To solve these type of complex problems in usable time frame , there is a need of high performance powerful computer mechanism which can do the calculations in a time bound with high precision. If the computer power is greater, the greater will be the accuracy in approximation i.e. close will be the approximation to the reality. The speed of the computer required for solution of such problems require computers with processing power of teraflops to Pets flops speed.. The way to speed up the computation is to “parallelize” it i.e. divide the work into modules that can be worked on by separate processors at the same time. Thus we can solve the problems that are Non-Polynomial form in polynomial time.}, added-at = {2019-09-16T09:35:03.000+0200}, author = {Vijay Dhir, Dr. Rattan K Datta and Dutta, Dr. Maitreyee}, biburl = {https://www.bibsonomy.org/bibtex/224550c239960a9615496f3ec102423b3/himanhero}, doi = {10.5121/ijgca.2011.2404}, interhash = {39fa884646c7c056cd7ef046190eb158}, intrahash = {24550c239960a9615496f3ec102423b3}, issn = {0976-9404 [Online]; 2229-3949 [Print]}, journal = {International Journal of Grid Computing & Applications (IJGCA)}, keywords = {Computational Continuity, Grid, Inter Machin's Maclaurin Momentum, Thermodynamic, Thread, formula, series.}, month = {December}, number = 4, pages = {1/11}, timestamp = {2019-09-16T09:35:03.000+0200}, title = {Nimble@ITCEcnoGrid: A Grid in Research Domain for Weather Forecasting}, url = {http://airccse.org/journal/ijgca/papers/2411ijgca04.pdf}, volume = 2, year = 2011 }