The more data an engineer can access, the more equipped they will be in making groundbreaking discoveries and inventions, thus changing the quality of life for billions of people. High-performance computing is the foundational tool for working with large amounts of data to create simulations used for developing advantageous technologies.
As the amount of data we produce and collect multiplies, the tools for managing this data become critical. To stay at the forefront, enterprises need fast, reliable infrastructure. HPC powers developments in the fields of geology, archeology, materials, graphics, genomics, economics, music, brain imaging, and chip design.
High-Performance Computing Structure
High-performance computing consists of three main components: power, network, and storage. Computer servers are networked together to form what's known as a cluster. HPC clusters consist of thousands of computational servers or nodes. Software algorithms can then run on these servers in a parallel fashion. The servers communicate with each other to seamlessly operate and accomplish tasks.
High-Performance Use Cases and Examples
Utilizing high-performance computing allows for an incredible amount of innovation, from finding sources of renewable energy to tracking storms and creating new materials. Through the use of Artificial Intelligence (AI) and Machine Learning (ML), HPC has taught self-driving vehicles and improved cancer screening.
HPC can also help you design new products, simulate test scenarios, and develop cures for diseases like diabetes by accelerating accurate patient diagnosis. Thanks to HPC, we can now make models of phenomena previously inaccessible, simulating galaxies, climate change, and fusion energy.
High-Performance Computing Features
HPC can accelerate innovation through ML and analytics. With on-demand access to immense computational capacity, businesses no longer need to wait. Instead, they save time by focusing on the problems they need to tackle without worrying about infrastructure or cost limitations.
Similarly, HPC can scale simulations with a variety of parameters and reduce wall-clock time, resulting in faster and more accurate results. HPC can process complex workloads and analyze massive amounts of data much more quickly than an on-premises computer. HPC’s capabilities are endless when it comes to solving complex math and science-based problems across any industry.
In the past, HPC has involved on-premises infrastructure using supercomputers. With the recent growth of cloud computing, HPC is now more accessible than ever. It can reach the hands of researchers and engineers who lack the IT infrastructure to house on-premises infrastructure. With HPC in the cloud, organizations pay for only what they use without the risk of their infrastructure becoming obsolete.