High-performance Computing (HPC) is a powerful tool that has a wide range of applications in many industries due to its capability to provide almost unlimited computing resources to quickly calculate large simulations and solve complex problems.
Here’s a comprehensive list of 34 High-Performance Computing examples curated by TotalCAE’s experts.
Top High-Performance Computing Examples
High-Performance Computing plays a critical role across various industries. Here’s a summary of the top four industries utilizing HPC that TotalCAE works with:
- Manufacturing: HPC aids in generating advanced simulations of product designs and manufacturing processes using Computer-Aided Engineering (CAE). HPC also helps predict equipment failures and enhance quality control.
- Automotive: HPC accelerates design and testing by generating numerous simulations quickly, reducing dependence on physical prototypes and reducing costs. Crash simulation is a very popular use of HPC.
- Life Sciences: HPC allows healthcare and life sciences professionals to process data in near-real time and generate insights from genomics data that can transform patient outcomes
- Energy: In Oil and Gas, HPC processes extensive seismic data quickly for identifying hydrocarbon reserves and Computational Fluid Dynamics (CFD) simulations are also performed by oil-services companies on a variety of oil and gas infrastructure. For emerging Energy technologies harnessing wind, sun, fusion, and other energy sources are all using HPC in their design.
Below you will find the complete list of High-Performance Computing examples.
Manufacturing
Some uses of HPC in manufacturing include advanced simulations, design optimization, and big data analytics.
Advanced Simulations
In general, HPC allows engineers to generate complex simulations of everything from product designs to manufacturing processes. This helps engineers optimize designs, identify potential problems in the manufacturing process early, and improve overall efficiency.
Design Optimization
HPC enables engineers to quickly test and optimize product designs. By running numerous simulations, they can identify the best configurations for factors like strength, weight, and cost.
HPC can also be used to explore new materials and manufacturing techniques, leading to innovative and more efficient products.
Big Data Analytics
In manufacturing, HPC processes vast amounts of data from sensors and production lines.
It enables real-time analysis for optimizing operations, predicting equipment failures, and enhancing quality control, leading to increased efficiency, reduced downtime, and improved product quality.
TotalCAE Case Study: JSP
In this case study, TotalCAE assisted JSP in enhancing its computer-aided engineering (CAE) capabilities by deploying an on-prem TotalCAE Infinite HPC cluster appliance, managed by TotalCAE.
Thanks to our solution, JSP achieved a 35% improvement in Ansys LS-DYNA performance over its previous system, helping them save time, and enhancing their productivity.
The solution ingredients of this case study include the TotalCAE Platform, TotalCAE Infinite HPC Cluster, and Ansys LS-DYNA.
Learn more about TotalCAE’s HPC case studies and success stories.
Automotive
Some examples of HPC in automotive include automotive design, testing, and OTA updates.
Design & Testing
In the automotive industry, HPC accelerates design and testing by enabling rapid simulations and a greater number of iterations. This reduces reliance on physical prototypes, lowering costs and development time.
HPC helps optimize vehicle aerodynamics, safety features, and performance. By simulating real-world conditions, engineers can test and refine designs efficiently, improving overall quality while minimizing risks before physical testing.
OTA Updates
HPC analyzes diagnostic data from connected vehicles received via Over-the-Air (OTA) updates.
This data helps manufacturers quickly identify issues and develop improvements, which are then delivered in future OTA updates, ensuring continuous vehicle optimization and enhanced performance.
ADAS Systems
HPC helps develop Advanced Driver-Assistance Systems (ADAS) by processing vast amounts of data from real-world driving scenarios.
This enables rapid model creation and optimization, ensuring safety and performance for self-driving systems, which require immense computational power for real-time decision-making.
TotalCAE Case Study: Lucid Motors
Lucid Motors adopted TotalCAE’s cloud-enabled simulation platform on AWS to overcome the challenge of executing timely crash simulations for vehicle design.
By leveraging the TotalCAE solution and AWS resources, Lucid Motors significantly reduced simulation turnaround times, allowing for faster design iterations and enabling the company to meet development deadlines without any complications.
Learn more about TotalCAE’s HPC case studies and success stories.
Healthcare & Life Sciences
Some use cases of HPC in healthcare and life sciences include genomics, modeling and simulation, imaging, and more.
Computational Chemistry & Structure-Based Drug Design
HPC provides virtually unlimited computing power for computational chemistry and structure-based drug design. HPC combines protein structure solutions and advanced algorithms for the description and representation of flexible 3D molecular models.
Genomics
When it comes to genomics, HPC provides a significant reduction in processing times of genomic data, allowing researchers to save time and obtain early insights into important diseases such as Alzheimer’s and cancer.
Modeling & Simulation
HPC provides researchers with virtually unlimited computing resources for modeling and simulations.
With HPC, researchers can run large, complex pharmacokinetics, pharmacodynamics, clinical trial, and systems biology simulations quickly and efficiently, reducing data analysis time from months to days.
Imaging
Imaging in healthcare is the process of generating visual representations of the interior of the human body for analysis, and possible interventions.
HPC has many applications in medical imaging, including improved identification and pattern classification, rapid data transfer, real-time medical image rendering, and more.
Urban Planning
Some applications of HPC in urban planning include smog level predictions, construction optimization, and more.
Smog Level Predictions
In urban planning, HPC provides great help in forecasting smog levels by analyzing data such as weather, air quality, and smog plume movement. This enables cities to issue timely warnings, helping mitigate smog-related health issues and improving overall public health outcomes.
The Array of Things Project
The Array of Things (AoT) project, is an urban sensing project where networked sensors collect real-time data on city conditions like barometric pressure, light, ambient sound, temperature, and more.
Combining edge computing and HPC, these sensors process data collaboratively, enabling cities to make informed decisions for improving infrastructure and public health.
The Array of Things project involves the collaboration of the University of Chicago, the Computation Institute, and other organizations.
Construction Optimization
HPC helps in optimizing construction by simulating factors like material selection, transportation logistics, and power grid efficiency. This leads to eco-friendly designs, reduced costs, and streamlined processes, ensuring more sustainable and budget-conscious construction projects.
Oil & Gas
Some uses of HPC in the oil and gas industry include seismic data processing, simulations, and predictive maintenance.
Seismic Data Processing
In oil and gas exploration, HPC processes vast seismic datasets quickly, allowing geoscientists to identify hydrocarbon reserves and optimal drilling sites.
Reservoir Simulation
In oil and gas, HPC enhances reservoir simulation by running complex, large-scale models. This improves predictions of fluid flow, temperature, and pressure, leading to more optimized production strategies.
Predictive Maintenance
HPC analyzes sensor data in real time to detect patterns and anomalies, predicting equipment failures before they occur. This proactive approach helps prevent downtime and reduces maintenance costs.
Advanced Material Science
HPC accelerates material science by simulating materials at atomic levels. It predicts their mechanical properties and helps design advanced materials with improved performance, enhancing equipment durability and efficiency.
Equipment Design & Optimization
HPC optimizes equipment design by simulating various operating conditions and stress factors. This enables the creation of more durable, efficient, and reliable equipment, reducing failures and enhancing performance in challenging environments.
Aerospace
Some uses of HPC in the aerospace industry include aerodynamic optimization and structural analysis. TotalCAE has several Aerospace clients that benefit from the use of HPC.
Aerodynamic Optimization
In aerospace, HPC enables aerodynamic optimization by simulating complex airflow patterns over aircraft designs. HPC allows engineers to refine shapes for maximum efficiency and performance, reducing drag, and improving fuel economy.
Structural Analysis
HPC aids in structural analysis by performing detailed simulations to assess aircraft components’ integrity.
It evaluates how designs respond to stress, strain, and loads under different conditions, ensuring the safety, reliability, and durability of components before they are built and tested.
Space Exploration & Research
In aerospace, HPC supports space exploration by developing and optimizing spacecraft designs, running detailed mission planning simulations, and analyzing data from space missions.
HPC helps to enhance spacecraft performance, improves mission success rates, and facilitates new discoveries in space research.
Meteorology
In the meteorology industry, HPC is used for weather forecasting, air quality modeling, climate projections, and more.
Weather Forecasting
In meteorology, HPC boosts weather forecasting by accelerating the computation of numerical weather prediction models. This allows for accurate, high-resolution forecasts much faster using Weather Research and Forecasting (WRF).
Air Quality Modelling
HPC allows researchers to predict air quality metrics such as particulate matter concentrations and ozone levels through the simulation of atmospheric chemistry and different transport processes.
Hydrological Modelling
Hydrological models powered by HPC accurately simulate the flow of water within the Earth’s system. These simulations are essential for forecasting floods and determining water resource availability.
Severe Weather Prediction
HPC enables detailed simulations severe weather events like hurricanes and tornadoes. By processing vast amounts of data, HPC models improve accuracy in predicting these events, enhancing early warning systems and helping to mitigate their impact.
Climate Projection
HPC processes large datasets to predict long-term climate changes. This enables accurate forecasting of temperature shifts and other climate impacts, helping researchers plan for future environmental changes.
Financial Services
HPC has many uses in financial services, including fraud detection, risk assessments, regulatory compliance, and more.
Fraud Detection
In financial services, HPC enhances fraud detection by rapidly analyzing vast amounts of transaction data using complex algorithms.
This allows for real-time identification of suspicious patterns and anomalies, significantly improving the accuracy and speed of detecting and preventing fraudulent activities.
Risk Assessments
HPC performs risk assessments by processing massive datasets and running simulations to evaluate potential risks. This enables institutions to model various scenarios and forecast financial impacts, improving decision-making and risk management strategies.
Cryptocurrencies
In short, the process of cryptocurrency mining involves solving complex algorithms to generate new coins.
Personal computers can’t handle the required computations, so miners use GPU and multi-core HPC setups to pool resources, enhancing processing power and efficiency in solving these intricate mathematical problems.
Entertainment & Media
HPC is used for movie special effects to render complex visual scenes, simulate realistic environments, and handle massive data sets quickly. This enables high-quality graphics and complex effects that enhance visual storytelling in films and animations.
Harness the Power of HPC With TotalCAE
At TotalCAE, we offer a variety of managed HPC solutions that help companies harness the power of virtually unlimited computing resources easily. We make HPC accessible for engineers and businesses. Our HPC solutions include on-premises HPC and cloud HPC.
Contact us today to learn more.
Frequently Asked Questions
Learn more about High-Performance Computing and its numerous applications.
What Is High-Performance Computing?
High-Performance Computing (HPC) refers to the use of compute clusters to solve complex computational problems rapidly. It involves combining multiple processors or computers connected via specialty low latency networks to perform large-scale calculations and simulations efficiently.
What Is the Demand for High-Performance Computing?
The demand for High-Performance Computing (HPC) is growing rapidly due to its essential role in advanced research and process optimization. As data volumes and computational needs increase, the demand for HPC solutions continues to rise.
What Is a Real-World Example of HPC?
One of our clients, Divergent Technologies, a company in the automotive industry,
TotalCAE Managed HPC Clusters for their day-today workloads, and TotalCAE on Azure for overflow work. Divergent 3D, through use of TotalCAE hybrid HPC environment results enabled Divergent DAPS to achieve 70% lighter weight vehicles than traditional automotive vehicles and enabled Czinger Vehicle’s new 3D-printed Czinger 21C hypercar to come in at only 2,760 pounds.
Explore more High-Performance Computing examples by visiting our HPC Case Studies & Success Stories page.