For some applications, a single computer or even a single dedicated server is not enough. These applications require extremely complex computations that could take standard servers a very long time to complete. They require the use of supercomputers made up of multiple nodes in a cluster, each containing multiple processors and/or cores along with their own memory and power. This type of supercomputer is the basis of high-performance computing, and more than ever, many businesses are finding it necessary to use.
While most may think of high performance computing (HPC) in scientific and other academic fields, businesses are increasingly required to process and analyze large amounts of data. Big data analytics can be costly and time consuming. Companies now have access to a plethora of data sources, such as social media and customer feedback. The data is often collected in large quantities and is unstructured. It requires analysis and deep queries to find relevant information for business, and that necessitates a more powerful system.
Other industries using high performance computing may include computer modeling for products, routing and monitoring of packages for delivery, environmental modeling, and numerous scientific fields. HPC was also put on display for the world to see when IBM’s Watson supercomputer successfully competed against human beings in Jeopardy. The demand for this type of intelligent big data computing will likely grow in the coming years.