Unique Ansys Simulation Tool Supports AMD GPUs

Ansys Inc. said that the Ansys Mechanical is one of the first commercial finite element analysis (FEA) programs supporting AMD Instinct accelerators, the newest data center GPUs from AMD. Particularly, the AMD Instinct accelerators can provide exceptional performance for data centers and supercomputers to help solve complex problems.

Most importantly, to support the AMD Instinct accelerators, Ansys developed APDL code in Ansys Mechanical to interface with AMD ROCm libraries on Linux. This will support performance and scaling on the AMD accelerators.

Ansys delivers one of the first commercial finite element analysis solvers supporting AMD Instinct™ accelerators, the newest data center GPUs from AMD.

Allows Complex Structural Simulations

Ansys’ latest collaboration with AMD resulted in a solution that, according to Ansys’ tests, significantly speeds up simulation of large structural mechanical models. Especially, this goes between three and six times faster for Ansys Mechanical applications using the sparse direct solver.

Furthermore, adding support for AMD Instinct accelerators in Ansys Mechanical gives customers greater flexibility in their choice of high-performance computing (HPC) hardware. 

“Today’s large, complex engineering challenges require quick, predictively accurate simulations that scale,” said Brad McCredie, corporate vice president, Data Center and Accelerated Business Unit at AMD. Furthermore, McCredie said, “The collaboration between Ansys and AMD can enable a speed boost for some applications, enabling our joint customers to run complex structural simulations that drive higher quality, more efficient designs for cars, planes, and a range of other products while meeting their deadlines.”

Meanwhile, Shane Emswiler, senior vice president of products at Ansys said, “Ansys’ collaboration with AMD will help enable mutual customers to leverage cutting-edge GPU hardware for Ansys Mechanical applications in the data center, both on-premises and in the cloud to reduce time to market and deliver more optimal solutions.”