Product Code: IT016-001531
Graphics processing units (GPUs) are microprocessors that originated for specialist video display tasks in PCs. The compute capability of GPUs for general programming is a recent development, pioneered by Nvidia, and now also joined by Intel with its multi-core coprocessor and AMD with its APU series devices.
- The use of graphics processing units (GPUs) in manufacturing is not as well known as its use in research-oriented, high-performance computing and media and entertainment but its application is revolutionizing engineering visualization, modeling, and simulation. This report examines case studies at Boeing, Dassault, and manufacturers in the auto industry to see how the improved performance is supporting engineering innovation.
- High-end GPUs are affordable coprocessors that turn workstations into supercomputers, allowing exploitation of parallel programming for increased performance.
- The manufacturing industries are facing tougher competition and greater expectations from their customers; to meet these market demands they are turning to Agile/iterative styles of working that place greater emphasis on modeling and simulation.The desire for greater performance has created a market for high-end GPUs, and the focus needs to turn to supporting better programming models on parallel architectures and open APIs.
- Examines the revolution taking place in computation as the capability of yesterday's supercomputer is now available on affordable workstations.
- Discusses the competitive and cost advantages that GPUs provide to enterprises.
- Discusses how vendors can exploit this increase in computing capability to differentiate their products.
- How can computer visualization and simulation be performed faster?
- What GPUs are available in the market today for general-purpose computing?
Table of Contents
- Ovum view
- Key messages
- Recommendations for enterprises
- Recommendations for vendors
- Alternative views
- GPUS ALLOW DESIGN AND SIMULATION TO BE PERFORMED WITHIN AN INTEGRATED
- Creating a seamless workflow between design and simulation assists
- Ray-tracing on GPUs
- CASE STUDIES
- Advanced human-machine interfaces at Honda
- MotoCzysz and GPUs for engineering design
- Creating race-winning electric motorcycles
- Engineering design for electric motorcycles
- GPUs for visualization at Boeing
- Computer graphics was born at Boeing
- Visual analytics and analysis
- Challenges and opportunities in visualization
- VENDOR EXAMPLE: DASSAULT SYSTEMES
- How Dassault Systemes exploits GPUs for its product design and
- Automotive industry increases advantages of GPU processing throughout
the development lifecycle
- Simulation GPU speed-up has led to increased usage of simulation in
- Further reading
- Ovum Consulting
- Figure 1: Augmented reality display, with a consistent world view for the
- Figure 2: Simulation for shoe design
- Figure 3: Comparison of CPU and CPU+GPU performance in finite element