Margaret Rouse is an award-winning technical writer and teacher known for her ability to explain complex technical subjects simply to a non-technical, business audience. Over…
High-performance computing (HPC) is the use of supercomputers and parallel processing techniques to solve complex computational problems that are too large or too complex to be solved by traditional computing methods.
HPC systems have the ability to deliver sustained performance through the concurrent use of computing resources. They are used in a wide range of fields, including science, engineering, medicine, finance and meteorology.
The terms high-performance computing and supercomputing are sometimes used interchangeably.
High performance computing systems consist of a large number of processors that work together in parallel to perform computations. They require large amounts of memory and fast communication links between processors organized in different topologies.
HPC systems are used for a number of different use cases, including:
In general, the choice of topology for each use case depends on the the number of nodes required for high performance, the level of parallelism required and the need for high-speed interconnects.
There are several topologies that are commonly used for high performance computing, including:
The future of high performance computing (HPC) is expected to involve several key developments and trends, including:
Continued growth in computational power and performance.
As technology continues to advance, HPC systems will become increasingly powerful, allowing for the simulation and analysis of larger and more complex problems. This will be achieved by using advanced processors that have faster memory, more storage and more efficient cooling.
Increased use of artificial intelligence and machine learning.
AI and machine learning are expected to play a major role in HPC in the future. Machine learning models will be able to take advantage of the vast amount of data generated by HPC simulations and experiments to automatically extract insights and make predictions.
Increased use of cloud and edge computing.
Cloud-based HPC systems will enable organizations to access HPC resources on-demand and scale resources up or down as needed. Edge computing will be important because it provides localized computational power and acts as an intermediary between devices and cloud infrastructure.
Increased use of software and hardware accelerators.
Software and hardware accelerators will play an important role in HPC, for example, graphics processing units (GPUs) and field-programmable gate arrays (FPGAs) are already being used in HPC systems to accelerate specific types of computations.
Increased use of open-source software.
Open-source software allows for more collaboration and innovation across the HPC community, so it will continue to grow in importance.
Greater focus on energy efficiency.
As HPC systems continue to get larger and more powerful, energy efficiency will become increasingly important.
Greater use of quantum computing in HPC.
Research on quantum computing is accelerating at a rapid pace, and it is expected that quantum computing will start to play a significant role in HPC in the near future — especially in areas such as machine learning and simulation.
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Margaret is an award-winning technical writer and teacher known for her ability to explain complex technical subjects to a non-technical business audience. Over the past twenty years, her IT definitions have been published by Que in an encyclopedia of technology terms and cited in articles by the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine, and Discovery Magazine. She joined Techopedia in 2011. Margaret's idea of a fun day is helping IT and business professionals learn to speak each other’s highly specialized languages.
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