Large scale computing is ideally suited for scientific simulations as it allows for huge calculations to be carried out in a small-time period and in this small window, massive calculations, and observations can be obtained for the same experiment.
For instance, scientific experiments that are involved with generating sequences and new possibilities for proteins and other chemicals in nature make use of the massive power that is available in large scale computing to calculate these sequences and find out from the universe of possibilities what is the next sequence of proteins and the structure of DNA can also be observed in these simulations.
The simulations are intended to carry out experiments without requiring the physical items or an expensive laboratory to get the results and conclusions at the end which makes them more affordable and make the best use of the large scale computing resources that are available to modern scientists who make use of the cloud computing resources to scale up their experiments and make it possible to simulate concepts and ideas in modern medicine and science that were not originally considered possible.
The simulations also make it possible to make experiments that are flexible and malleable in the sense that most of the constants and numbers or figures can be modified as the scientist sees fit for their own usage and they can make the factors that are involved in the experiment as complicated as possible.
The currently available computation power means that the simulations are much easier to set up and since the software that is used for these experiments tends to be multithreaded, it can carry out the experiments and simulations more realistically and as such, the scientist will be able to have better conclusions and the best environment in which to carry out the experiments.
The large-scale computing infrastructure available to the scientists for their simulations acts as a sandbox in which the most dangerous experiments can be carried out without getting out of the virtual world of data. There are no limitations in terms of how much the scientist can accomplish and as they are in total control over the constants of the experiment, they can turn it to their advantage and make as many changes as they want to find out what the experiment can bring out to their reality.
It also makes the time taken to carry out or conduct successful experiments more reasonable and the users of the simulations will get to have their results promptly which makes research and development more affordable and timely for the people that are intending to make use of the simulations to develop powerful new drugs and chemicals that are used in the real world for manufacturing medicines and other household chemicals which are used to make detergents and other products which are used daily. As such, production time is lessened and the concepts get to be turned into realities much faster hence turning the manufacturer a profit in no time.