High-Performance Computing (HPC): applications and benefits

In computing, speed and power reign supreme and High-Performance Computing (HPC) is the undisputed king. But the phrase “high performance” is a poor descriptor, as that could equally applied to gaming PCs and MacBook Pros. Here, we attempt to explain exactly what HPC means, its applications and its benefits.

At its core, HPC refers to the use of supercomputers to solve complex problems at speeds unattainable by standard computers. 

Parallel processing is key to this. It refers to a supercomputer’s ability to process several operations simultaneously, and whereas an everyday computer can split operations across the cores that form a modern-day CPU, a supercomputer will split operations across nodes.

Each node includes multiple processors and often dedicated GPUs (graphics processing units). To give you some idea of the power in supercomputers, the HPE El Capitan includes almost 44,000 CPUs, each matched by a GPU.

In total, that means there are 11,039,616 cores to split tasks across. A typical high-end PC will include around ten.

Applications of HPC

1. Scientific research: HPC has revolutionised genomics by enabling the analysis of extensive sequencing data. Researchers use supercomputers to process and interpret genetic information, leading to advancements in personalised medicine and our understanding of genetic disorders.
2. Weather forecasting: Meteorologists rely on HPC to process real-time data from satellites and sensors, facilitating accurate weather predictions and climate modelling. This capability is crucial for preparing for natural disasters and understanding climate change.
3. Simulations: In engineering, HPC allows for the creation of virtual models to test scenarios such as crash tests in the automotive industry or aerodynamic assessments in aerospace. These simulations save time and resources by reducing the need for physical prototypes.

Benefits of HPC

• Accelerating innovation: By processing complex computations rapidly, HPC enables researchers to iterate and experiment more efficiently, leading to faster scientific and technological advancements.
• Improving efficiency: Industries can optimise processes and reduce costs through simulations and data analysis powered by HPC, enhancing overall productivity.
• Enabling scalability: HPC systems can handle growing data and computational demands, making them adaptable to various applications across different sectors.

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Challenges and future directions

Despite its advantages, HPC faces challenges such as high infrastructure costs, significant energy consumption and the complexity of programming for parallel processing systems.

Looking ahead, developments in quantum computing and cloud-based HPC solutions hold promise for overcoming these hurdles, potentially making high-performance computing more accessible and sustainable. For instance, IBM is pushing the boundaries of quantum computing with initiatives like expanding its network of partners and customers to accelerate innovation.

Similarly, Singapore is fortifying its quantum computing future through collaborations with leading firms such as Quantinuum, while the UK is focusing on building its quantum workforce through partnerships like the one between Quantinuum and the STFC Hartree Centre.

These advancements underscore a growing global effort to harness the potential of quantum technologies to redefine HPC’s future.