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Ansys has developed a high-performance computing (HPC) system that leverages the power of graphics processing units (GPUs) in order to reduce overall engineering simulation processing times.

Exploiting HPC technology in this way enables customers to quickly obtain enhanced insight into product behaviour, according to the company.

Performance benchmarks demonstrate that using the latest Nvidia Tesla GPUs, in conjunction with a quad-core processor, can halve the overall turnaround time on typical workloads, when compared with running solely on the quad-core processor.

GPUs contain hundreds of cores and high potential for computational throughput.

Ansys has worked with Nvidia to develop solutions applicable to mechanical and electrical simulation.

The full Ansys accelerator capability is slated for general availability later in 2010.

Tesla GPUs are based on Cuda, Nvidia’s computing architecture that enables its GPUs to be programmed using industry-standard languages, opening up parallel processing power to a range of computing applications beyond traditional graphics.

With power-efficient cores and increasingly fast access to memory, GPUs are well suited to accelerate many Ansys simulations.

Benchmarking of the new Ansys Mechanical implementation has shown that double precision computations of a typical workload can be performed on a GPU in around half the normal turnaround time.

This was demonstrated on the Nvidia Tesla platform with a variety of customer-relevant models.

The new Ansys capability to use GPU acceleration is being showcased at the Nvidia GPU Technology Conference in San Jose, California.

HPC system accelerates simulation processing times

Ansys has developed a high-performance computing (HPC) system that leverages the power of graphics processing units (GPUs) in order to reduce overall engineering simulation processing times.

Exploiting HPC technology in this way enables customers to quickly obtain enhanced insight into product behaviour, according to the company.

Performance benchmarks demonstrate that using the latest Nvidia Tesla GPUs, in conjunction with a quad-core processor, can halve the overall turnaround time on typical workloads, when compared with running solely on the quad-core processor.

GPUs contain hundreds of cores and high potential for computational throughput.

Ansys has worked with Nvidia to develop solutions applicable to mechanical and electrical simulation.

The full Ansys accelerator capability is slated for general availability later in 2010.

Tesla GPUs are based on Cuda, Nvidia’s computing architecture that enables its GPUs to be programmed using industry-standard languages, opening up parallel processing power to a range of computing applications beyond traditional graphics.

With power-efficient cores and increasingly fast access to memory, GPUs are well suited to accelerate many Ansys simulations.

Benchmarking of the new Ansys Mechanical implementation has shown that double precision computations of a typical workload can be performed on a GPU in around half the normal turnaround time.

This was demonstrated on the Nvidia Tesla platform with a variety of customer-relevant models.

The new Ansys capability to use GPU acceleration is being showcased at the Nvidia GPU Technology Conference in San Jose, California.

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