Why GPU Computing Matters in Abaqus

As simulation models grow in complexity and size, reducing computation time becomes critical. By leveraging Graphics Processing Units (GPUs), Abaqus users can significantly accelerate their workflows, run more design iterations, and improve productivity across simulation tasks. GPU computing offers exceptional parallel performance for solving linear algebra problems common in finite element analysis (FEA).

Webtraining Focus

In this session, 4RealSim demonstrates how to harness GPU capabilities in Abaqus. Participants will learn when and how to use GPU acceleration, what model types benefit the most, and how to configure their environment for optimal speedup.

Topics Covered

• Overview of GPU architecture and its role in FEA

• How Abaqus uses GPUs

• Performance benchmarks

• Hardware and software requirements

• Licensing considerations (GPU tokens vs. CPU tokens)

• Setting up your system for GPU simulation

• Best practices and limitations

Who Should Attend?

• Abaqus users working with large or compute-intensive models

• Simulation engineers interested in high-performance computing (HPC)

• IT specialists managing CAE environments

• Teams looking to optimize simulation turnaround times

What You Will Gain?

• Understand GPU benefits for different Abaqus workflows

• Learn how to reduce solve time without sacrificing accuracy

• Discover system setup tips for maximizing GPU use

• Get familiar with licensing and hardware prerequisites