The supercomputer is one of the most well-known HPC solutions. Supercomputers are made up of thousands of compute nodes, which work together to accomplish one or more tasks. Parallel processing is what this is. This is similar to thousands of computers connected and combining computing power to complete tasks quicker.
Why is HPC so important?
Data is the foundation for groundbreaking scientific discoveries, game-changing innovations, and improved quality of life for billions around the world. The foundation for scientific, industrial, and societal advances in HPC.
The amount of data organizations need to manage is increasing exponentially as technologies such as the Internet of Things (IoT), AI (artificial intelligence (AI), 3-D imaging, and the Internet of Things (IoT) evolve. The ability to process real-time data is essential for many purposes, including streaming sporting events, monitoring a storm, testing new products, and analyzing stock trends.
Organizations need a reliable, lightning-fast IT infrastructure to store, process, and analyze large amounts of data.
What is HPC?
Three main components of HPC solutions are:
Compute servers are connected to form a cluster to create a high-performance computing architecture. The cluster hosts software programs and algorithms simultaneously. The cluster is networked to the data storage to capture the output. These components work together seamlessly to accomplish a variety of tasks.
Each component must operate at the same speed to achieve maximum performance. The storage component, for example, must be able to feed and ingest data as fast as possible to the compute servers. The networking components should also be capable of supporting high-speed data transport between the compute servers and data storage. The performance of the whole HPC infrastructure will suffer if one component is not able to keep up with the others.
What is an HPC cluster?
A cluster of HPC servers is a collection of thousands to hundreds of computers that are connected. A node is a server. Each cluster has nodes that work in parallel. This increases processing speed and delivers high-performance computing.
HPC Use Cases
HPC solutions can be deployed on-premises, at the edge, or in the cloud and are used across many industries. Examples include:
- Research labs. HPC can be used by scientists to find renewable energy sources, track storms and predict them, and create new materials.
- Media and entertainment. The HPC can be used to edit feature films and create amazing special effects. It can also stream live events from around the globe.
- Oil and gas. HPC can be used to pinpoint the best locations to drill new wells or to boost production from existing wells.
- Artificial intelligence and machine learning. HPC is used for credit card fraud detection, self-guided technical assistance, teaching self-driving cars, and improving cancer screening techniques.
- Financial services. The HPC can be used to automate trading and track stock trends in real-time.
- HPC can be used to create new products, test scenarios, and ensure that parts are kept in stock, so production lines don’t get stalled.
- HPC can be used to develop treatments for cancers and other diseases, and to allow faster and more accurate diagnosis of patients.
NetApp and HPC
NetApp HPC solutions include a full line of E-Series storage systems that are high-performance and high-density. The modular architecture offers industry-leading performance and price. This allows for storage needs to accommodate multi-petabyte datasets. To meet the reliability and performance requirements of the largest computing infrastructures in the world, the system integrates with the most popular HPC file systems such as Lustre, IBM Spectrum Scale, and BeeGFS.
E-Series systems offer the reliability, scalability, and simplicity required to support extreme workloads.
- Performance. Up to 1,000,000 random read IOPS, and up to 13GB/sec sustained (maximum bandwidth burst), write bandwidth per scalable block The NetApp HPC solution is optimized for flash and spinning media. It includes integrated technology that monitors workloads, adjusts configurations automatically to maximize performance.
- Reliability. A fault-tolerant design ensures greater than 99.9999% availability. This has been proven by over 1 million systems. Data Assurance features built into the system ensure that data accuracy is maintained without corruption or missing bits.
- Easy to deploy and manage. Modular design, quick (“cut-and-paste”) replication of storage blocks, and proactive monitoring all contribute to simple, flexible, and fast management.
- Scalability. This is a building-block-based, granular approach to growth that allows seamless scaling from terabytes up to petabytes. You can add capacity in any increment (one or more) at a given time.
- Lower TCO. Price/performance-optimized building blocks and the industry’s best density per delivers low power, cooling, and support costs, and 4-times lower failure rates than commodity HDD and SSD devices.