A new HPC solution developed by ANSYS leverages the power of graphics processing units (GPUs) to dramatically reduce overall engineering simulation processing time by as much as half. Performance benchmarks demonstrate that using the latest NVIDIA Tesla GPUs in conjunction with a quad-core processor can cut overall turnaround time in half on typical workloads, when compared to running solely on the quad-core processor.
"This initial development for GPU computing demonstrates our focus on evolving ANSYS software to take advantage of important technology trends in high-performance computing. HPC is a rapidly-changing technology arena and also a key enabler of Simulation Driven Product Development," said Dipankar Choudhury, Vice-President of Corporate Product Strategy and Planning at ANSYS.
GPUs contain hundreds of cores and high potential for computational throughput, which can be leveraged to deliver significant speedups. A leader in both engineering simulation and HPC, ANSYS has worked with NVIDIA to develop solutions applicable to mechanical and electrical simulation, available today in a preview release.
"NVIDIA Tesla GPUs have quickly gained a reputation in the HPC industry for delivering dramatic changes to workflow, resulting in significantly reduced computational time across complex problems," said Andrew Cresci, General Manager of Vertical Solutions at NVIDIA.
Tesla GPUs are based on CUDA, NVIDIA's computing architecture that enables its GPUs to be programmed using industry-standard languages, opening up massive parallel processing power to a broad range of computing applications beyond traditional graphics.
