Scientists and Researchers

With scientific discoveries taking priority, domain scientists are utilizing GPUs to achieve faster results while minimizing programming efforts. Scientists in fields such as computational fluid dynamics, climate, weather and ocean, molecular dynamics, quantum chemistry, and physics, among others, see 3–10X code speedups on GPUs.

"Today, researchers can take advantage of GPUs to approach computational models for drug discovery and design that are accurate, affordable, and achievable. With adequate computational resources, it is now possible to optimize a lead in days or weeks, instead of months."

Application Developers

Application developers are looking to achieve mission-critical productivity in scientific discovery. They strive to be efficient, simplify support to provide code longevity, and get maximum performance for their users. Across a variety of domains like computational fluid dynamics, computational chemistry, bioinformatics, and physics, GPUs accelerate applications with the use of programming models and tools designed to maintain productivity.

"We believe that the improvements in speed and cost from GPU acceleration will jumpstart the next evolution of the turbomachinery design system. Faster and more powerful GPUs will make analyses that are currently unachievable well within reach in the next few years."

Educators & Facilitators

Educators are tasked with educating students, computer scientists, and domain researchers on parallel programming and helping their constituents to start accelerating or continue optimizing their codes on GPUs. Facilitators work with scientists to help accelerate their codes on GPUs.

NVIDIA makes education curriculum widely available through hands-on resources, including NVIDIA Deep Learning Institute (DLI) training, teaching kits, hackathons and bootcamps, and more.

"I teach parallel programming, which encompasses GPU programming, and find teaching materials that are readily available very helpful and resourceful. These teaching materials and the robust set of GPU libraries and tools greatly benefit both my course and my interdisciplinary research by enabling GPU-acceleration of scientific codes."

IT Support

Facilitators and IT managers are critical to the success of HPC scientists accelerating their codes on GPUs. HPC applications require a unique set of robust hardware and software, as well as up-to-date tools, drivers, compilers, and more that require support.

"Sometimes porting code to the GPU can be daunting to those who don’t have the experience. Our team often works with researchers to make the porting process as easy and painless as possible. The variety and quality of training materials, hackathons, tools, and compilers available makes our work efficient, helps bring domain researchers up to speed quickly, and ultimately helps advance science."