[Press Release] Moldex3D leverages NVIDIA GPU computing technology to boost performance
Moldex3D leverages NVIDIA GPU computing technology to boost performance  
Tuesday, 09 February 2010
Moldex3D is a true 3D injection molding simulation software that helps users evaluate and optimize part and mold designs before manufacturing and production. With its innovative High Performance Computing (HPC) technology, Moldex3D continues to be the leading edge in the molding CAE industry.


The introduction of massively parallel, programmable NVIDIA CUDA enabled Graphics Processing Units (GPUs) is delivering new levels of performance for large scale computational problems. CoreTech system has been cooperating with NVIDIA to integrate this technology into its Moldex3D product line to harness this processing power and deliver significant boosts in performance to its users.
 
“We are impressed with the computational speed up that we have seen with NVIDIA’s GPUs. For example, in our internal testing, our Solid-WARP solver is able to speed up by 6 to 8 times with a Quadro FX 5800 professional graphics card. It will help our users greatly shorten their computation time, and allow them to analyze bigger models for higher accuracy. Our customers will deliver better products to market, faster. Moldex3D is committed to leveraging the cutting-edge high-performance computing technology in our 3D solvers. GPU computing offers us a very promising direction for future products.”, said Dr. David Hsu, Vice President R&D of CoreTech System.

“Large scale computational problems, such as 3D mold filling simulations, demand a huge amount of computing power. The massively parallel processing capabilities of NVIDIA CUDA-enabled GPUs allow innovative companies like Moldex3D to provide a highly cost-effective 3D CAE tool, that dramatically improves the process of plastic parts design and manufacturing.” said Andy Keane, General Manager of GPU Computing at NVIDIA.“We look forward to Moldex3D’s continued innovation and for their continued leverage of CUDA to transform their industry segment.”