CUDA Parallel Computing

CUDA In Action Spotlights

Read the customer spotlights below and learn how scientists and industry professionals are leveraging CUDA-based GPU computing across a range of disciplines and scientific applications.




Obuda University: biomedical image processing with GPGPUs in cancer research

Sándor Szénási is a PhD student at Óbuda University in Budapest, Hungary. Microscopic analysis of tissue samples is now performed by using digital imagery and special immunodiagnostic software. Since pathologists are working with large number of high resolution images, and thus requiring significant storage space, one feasible way to achieve reasonable processing time is to use GPUs. The aim of his research is developing a new data parallel algorithm that that is capable of counting hematoxylin eosin (HE) stained cell nuclei and of identifying their exact locations and sizes. “CUDA gives me exactly the same results as the sequential CPU algorithm but significantly faster.” says Sándor.” Now I am working on the multi-GPU improvement.”


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Università di Bologna: exploiting GPUs in advanced structural testing

Dr. Alessandro Zanarini, a researcher at Bologna University, Italy is focusing on full-field optical measurement techniques. They offer engineers considerable spatial insight into the dynamical behavior of mechanical structures under vibrational loads. However, these tests produce more data than can be handled with traditional methods. This research explores the use of GPUs for processing these data sets. "CUDA environment is the ideal solution to empower the distributed parallel computing at the root of the other code developed in C, OpenGL and OpenMP." comments Alessandro.

University of Plymouth: Developing Robots with CUDA

PhD student Martin Peniak is creating robots that can develop cognitive capabilities through interaction with their environments. Martin is using a CUDA-enabled software called Aquila to develop complex artificial neural networks for the real-time control of the robot as part of iTalk (Integration of Action and Language in Humanoid Robots), which is his PhD thesis project.

Volcano: Eldad Klaiman

Eldad Klaiman is a signal/image processing engineer at Volcano Corporation, a medical device company focused on cardiovascular care. Eldad works on an R&D team that develops software to assist physicians who treat coronary disease in real time with devices such as wires, catheters and stents. Eldad and his team use GPUs and CUDA to accelerate image processing algorithms. "I like the simplicity of CUDA. It's maintainable and easy to understand," says Eldad. "CUDA helps me make the impossible a bit more possible."

Chaos Group: Vlado Koylazov

Vladimir "Vlado" Koylazov is co-founder and head of software development at Chaos Group, the makers of V-Ray and V-Ray RT. Chaos Group was founded in 1997 in Bulgaria. The company's interactive ray tracing software, V-Ray RT, leverages GPUs and CUDA to create photorealistic computer-generated imagery in real time. "Our software is used by artists to create so many amazing things. Whether it's a new electric vehicle, an energy efficient building or a blockbuster film, we're providing the tools to help artists visualize their imaginative designs," says Vlado.

Colorfront: Mark Jaszberenyi

Mark is the CEO of Colorfront, a digital post production facility which he co-founded in 2000 with his brother Aron. The Colorfront On-Set Dailies system was used by EFILM on the set of the new James Bond movie, Skyfall. Mark comments: "Colorfront On-Set Dailies relies exclusively on GPU image processing in CUDA. We can take advantage of multiple GPUs for even higher performance." NVIDIA GPUs drive Colorfront products on a range of platforms, from the Retina MacBook Pro through the Mac Pro, and up to the HP Z820 with multiple GPUs to process 4K RAW files at over 100 FPS.

KTH Royal Institute of Technology: Erik Lindahl

Erik Lindahl of KTH Royal Institute of Technology and Stockholm University is a project leader for GROMACS, the popular open-source molecular dynamics program. The next release of GROMACS will include strong CUDA support. "CUDA is a long-term stable development that we can trust," comments Erik.

DTU: Designing Energy Platforms on the Oceans

Allan P. Engsig-Karup and researchers at the Technical University of Denmark (DTU) are focused on estimating the flow kinematics and design loads on ocean structures, such as ships, oil platforms, energy devices, where predictions are required for the maximum expected lifetime load. The team has achieved impressive scalability results for the GPU-accelerated implementation of its OceanWave3D wave simulation model.

SINTEF: Modeling the World in Real Time with GPUs

André R. Brodtkorb is a research scientist at SINTEF in Norway, where he works on GPU acceleration and algorithm design for shallow water simulations, tsunami warnings and simulation of storm surges and dam breaks. GPU-based systems allow SINTEF to run simulations at higher resolutions.


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