The Johns Hopkins University Named an NVIDIA CUDA Center of Excellence

CUDA program seeks to accelerate pace of research, drive scientific discovery with GPU computing.

CUDA program seeks to accelerate pace of research, drive scientific discovery with GPU computing.

By DE Editors

NVIDIA today announced that it has named The Johns Hopkins University a CUDA Center of Excellence, recognizing its work leveraging NVIDIA GPUs and NVIDIA CUDA technology to drive education and research programs across a range of scientific disciplines. As a CUDA Center of Excellence, Johns Hopkins will utilize GPU computing equipment and grants provided by NVIDIA to support a number of research and academic programs.

According to the company, the CUDA Center of Excellence program rewards and fosters collaboration with leading institutions that are at the forefront of parallel computing research. Johns Hopkins joins an network of 12 institutions around the world that are advancing awareness of parallel computing, and empowering academics and scientists to conduct research. 

University researchers in the field of data-intensive computing, have been working to address a bottleneck to transformative scientific discovery “researchers inability to analyze in a timely manner the massive amounts of complex data generated by instruments and simulations. They are leveraging the processing power of GPUs to speed up data analysis across multiple fields, including astrophysics, fluid dynamics, genomics, life sciences, medical imaging, and numerical simulation, among others. 

For more information, visit NVIDIA and The Johns Hopkins University.

Sources: Press materials received from the company and additional information gleaned from the company’s website.

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DE Editors

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