Life is a very beautiful thing.
As I was beginning to write this very blog in which you are reading now, I first started to comprehend all of the amazing technology that was sparked by the very idea of studying the various forms of life, why they exist, and what mystery they behold in order to improve not just our lives, but the lives of other organisms. At that point, I can then tie that into a company like ScaleMatrix, whose purpose is to supply a platform for these companies to study, perform research, and find solutions for complex issues, situations, and problems surrounding these organisms, and then some.
HPC, or High-Performance Computing, by its very definition, is the use of parallel processing, with the purpose of running very advance, complex, and comprehensive applications and programs with efficiency, and reliability. This includes the use of simulations, along with the rendering, and modeling of objects which the typical computer or workstation is unable to perform, or cannot perform reasonably or efficiently. Efficiency is not only a requirement for scientists, individuals and organizations in the Life Sciences industry, but expecting anything less cannot, and will not yield the results required for them to be able to perform the required work, and thus, get the results scientists require.
“The more advanced the sciences have become, the more they have tended to enter the domain of mathematics, which is a sort of center towards which they converge. We can judge of the perfection to which a science has come by the facility, more or less great, with which it may be approached by calculation.”
-Adolphe Quetelet
With managed services, Cloud, and Colocation service providers such as ScaleMatrix building, maintaining, and innovating HPC technologies and infrastructures, the technology must be reliable, state of the art, and the performance of such technology must be high. In short, it literally is a life or death situation to make sure collected data is accurate, for the betterment of all living things that crawl on our planet.
For many years, HPC has been speeding up the delivery process for those in the Life Sciences industry. This allows scientists, organizations, and others in the Life Sciences field to obtain results, and hit measurable targets, much quicker. HPC infrastructures have furthermore had a crucial role in the generating, and gathering of the vast data that scientists are seeking after through the use of genome sequencing.
With the use of increased number of CPUs (central processing units), along with the nodes used in those CPUs, the power to perform complicated tasks, calculations, and the gathering of information is higher than what your typical computer, workstation, or server can perform or offer. This is what is known as the speedup. The speedup is the ratio between the execution time between the parallel systems, along with the execution time of the serial systems, while the upper limit will vary on how well the model can be parallelized.
This furthermore establishes the capability to use AI, or Artificial Intelligence, which is the ability to build software with the goal of making it think, or act, like the subject in which they wish to study on (for example, human beings), with accuracy and reliability. For scientists, one of the most important aspects of the Life Sciences industry is to be able to gather results and information with accuracy, while at the same time be able to obtain this information at a reasonable timeframe. As one of the fastest growing and sought-after technologies in the world of computing and IT, artificial intelligence is gaining the attention of both technology companies willing to host, manage, and maintain AI infrastructures as a service, but organizations in the Life Sciences industry that is looking to improve the quality of life, for millions of individuals around the world.
While many industries are very concerned about Artificial Intelligence’s potential of undermining existing jobs and employment, the use of AI is critical for scientists and those in the industry is growing to become even more critical. Big data is getting even bigger with each passing day to the point where AI takes existing data that it can find, and interact with those scientists on a daily basis. Scientists can then use this data for testing, perform their own research, or to perform quality control with ongoing experiments and assessments.
ScaleMatrix is at the forefront of Artificial Intelligence and Hyper-Processing Computing, facilitating those who want to not just save, and enhance the lives today, but in the future as well. Technology is ever growing and ever changing, yet ScaleMatrix continues to strive forward with its groundbreaking data centers and technology, offering the quality, performance, scalability, and regulatory compliance required to take the industry to the next level. The end game with ScaleMatrix, along with the amazing work Life Science companies perform, is to continue to make life a very beautiful thing.
Dakota Green
Jr. Systems Administrator/Technical Writer, ScaleMatrix
