Polyphony Digital, a subsidiary of Sony Interactive Entertainment Inc and the creators of Gran Turismo, has exceeded 90M copies of cumulative sell-through sales of PlayStation software titles over three decades. Gran Turisimo 7, released in 2022, marked the 25th anniversary of the series�� beginning, and included implementation of Universal Scene Description (USD). USD is an open-scene description��
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Mika Vehkala has worked in the game development industry for nearly three decades and contributed to projects such as Horizon Zero Dawn and The Walking Dead: No Man��s Land. Now, he��s director of technology at Remedy Entertainment, the studio that created Alan Wake and Control. Vehkala spoke with NVIDIA about embracing USD into its game development pipeline. What is your professional��
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NVIDIA spoke with Chief Wizard of Pathea, Jingyang Xu, about himself, his company, and the process of implementing NVIDIA Reflex in My Time at Sandrock, the studio��s latest release. For those who may not know you, could you tell us about yourself? My name is Jingyang Xu. I am the Chief Wizard for Pathea. In other words, I��m the Head of Technology. I��ve had various jobs in the software��
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��Meet the Researcher�� is a series in which we spotlight different researchers in academia who use NVIDIA technologies to accelerate their work. This month we spotlight Dr. Emanuel Gull, Associate Professor of Physics at University of Michigan, whose research focuses on the development of theoretical and computational methods for strongly correlated quantum systems.
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��Meet the Researcher�� is a series in which we spotlight researchers in academia who use NVIDIA technologies to accelerate their work. This month we spotlight Antti Honkela, Associate Professor in Computer Science at University of Helsinki in Finland. Honkela is the Coordinating Professor of the Research Program in Privacy-preserving and Secure AI at the Finnish Center for Artificial��
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��Meet the Researcher�� is a series in which we spotlight different researchers in academia who use NVIDIA technologies to accelerate their work. This month we spotlight Marco Aldinucci, Full Professor at the University of Torino, Italy, whose research focuses on parallel programming models, language, and tools. Since March 2021, Marco Aldinucci has been the Director of the brand new��
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��Meet the Researcher�� is a monthly series in which we spotlight researchers who are using GPUs to accelerate their work. This month we spotlight Lokman Abbas Turki, lecturer and researcher at Sorbonne University in Paris, France. What area of research is your lab focused on? If I had to sum it up in a few words, I would say computer science probability. More precisely��
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��Meet the Researcher�� is a monthly series in which we spotlight different researchers in academia who are using NVIDIA technologies to accelerate their work. This month, we spotlight Lorenzo Baraldi, Assistant Professor at the University of Modena and Reggio Emilia in Italy. Before working as a professor, Baraldi was a research intern at Facebook AI Research. He serves as an Associate Editor��
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��Meet the Researcher�� is a new series in which we spotlight different researchers in academia who are using GPUs to accelerate their work. This month we spotlight Rommie Amaro, professor and endowed chair in the Department of Chemistry and Biochemistry at the University of California, San Diego. Amaro is also the principal investigator of the Amaro Lab, which is broadly concerned with the��
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An interview with Carbon Machina, the team behind the creation of Scavenger, a DXR Spotlight Contest 2020 Winner Carbon Machina believes in video games as an art form. Scavenger, their environmental demo, proves this; it uses real-time ray tracing to draw out a broad range of emotions in its audience. Warm yellow hues create a sense of safety. But when the lights go red��
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��Meet the Researcher�� is a new series in which we spotlight different researchers in academia who are using GPUs to accelerate their work. This week, we spotlight Dr. John Garrett, an Assistant Professor in the Departments of Radiology and Medical Physics and the Director of Imaging Informatics for the Department of Radiology at the University of Wisconsin-Madison. Dr.
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��Meet the Researcher�� is a monthly series in which we spotlight different researchers in academia who are using NVIDIA technology to accelerate their work. This month, we spotlight Gregory A. Voth, Distinguished Professor at the Department of Chemistry, The University of Chicago. Voth received a Ph.D. in Theoretical Chemistry from the California Institute of Technology in 1987 and was an IBM��
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��Meet the Researcher�� is a series in which we spotlight different researchers in academia who are using GPUs to accelerate their work. This week, we spotlight Sam Raymond, a postdoctoral researcher at Stanford University. Dr. Raymond received his PhD from the Massachusetts Institute of Technology in 2020 in the field of Computational Science and Engineering. His research focuses on the��
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Meet the Researcher is a series in which we spotlight different researchers in academia who are using GPUs to accelerate their work. This week, we spotlight Rapha?l Frank, Senior Research Scientist at the SnT Research Center of the University of Luxembourg. The research featured in this article is part of the project of Fran?ois Robinet , PhD Student at the University of Luxembourg.
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��Meet the Researcher�� is a series in which we spotlight different researchers in academia who are using GPUs to accelerate their work. This week, we spotlight Jean-Philip Piquemal, Professor at Sorbonne University in Paris, France. Jean-Philip Piquemal is Professor of Theoretical Chemistry at Sorbonne University and Director of the Theoretical Chemistry Laboratory (LCT)��
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Dr. Avantika Lal is a deep learning and genomics scientist at NVIDIA and was previously a researcher at Stanford University. She holds a PhD in genomics and is an expert in the genomics of infectious diseases and cancer. At NVIDIA, she develops artificial intelligence techniques to analyze genomic data, and applies these methods to understand human biology and develop new and targeted treatments��
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��Meet the Researcher�� is a series in which we spotlight different researchers in academia who are using GPUs to accelerate their work. This week we spotlight Weichung Wang, Professor at the Institute of Applied Mathematical Sciences at the National Taiwan University. Wang is a recipient of the Nian-Chih Award and has also received the Outstanding Young Scholar Project Award from the��
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��Meet the Researcher�� is a new series in which we spotlight different researchers in academia who are using GPUs to accelerate their work. This week, we spotlight Alan Fern, a Professor of Computer Science and Associate Head of Research in the School of Electrical Engineering and Computer Science at Oregon State University. Fern received a National Science Foundation CAREER award in 2006��
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��Meet the Researcher�� is a new series in which we spotlight different researchers in academia who are using GPUs to accelerate their work. In this first edition, we spotlight Anna Choromanska, an assistant professor at the New York University (NYU) Tandon School of Engineering and a recipient of the Alfred. P. Sloan Fellowship. Choromanska��s NYU lab focuses on deep learning optimization and��
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We recently caught up with Oles Shyshkovtsov, Ben Archard, and Sergei Karmalsy from 4A��the team behind Metro Exodus��about the unique features of the PC version of the game. Metro Exodus finds beauty in the darkest possible places. As players, we see fetid sewers, terrifying cannibal camps, and ruined compounds. Yet even as we feel revulsion, we��re impressed by the artistry on display.
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We spoke with Ignacio Llamas, Director of Real Time Ray Tracing Software at NVIDIA about the introduction of real-time ray tracing in consumer GPUs. How did you get started on ray tracing at NVIDIA? I joined NVIDIA about four years ago, on the GPU architecture team. If somebody told you that you��d be shipping consumer GPUs in 2018 capable of real-time ray tracing in 2018 in their games��
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Morgan McGuire, a member of the NVIDIA research team, walks us through the history of shaders, rasterization, and finally, ray tracing. Q: The games industry has been working on developing a ray tracing solution for decades. Can you give us an overview of the history? A: It��s really interesting to look back at the late 80��s. That was when ray tracing and artificial intelligence��
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Devin White, Senior Researcher at Oak Ridge National Laboratory shares how they are using GPUs to improve the geolocation accuracy of imagery collected by a satellite, manned aircraft, or an unmanned aerial system. Using Tesla K80 GPUs and CUDA, the researchers in the Geographic Information Science and Technology Group at ORNL developed a sensor-agnostic, plugin-based framework to support��
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Experience real people on any virtual reality headset. Joel Pitt, a machine learning researcher at 8i, shares how the startup is using NVIDIA GPUs and CUDA to put real volumetric video of humans in virtual reality environments. 8i��s technology allows creators to bring real people into volumetric virtual experiences by transforming HD video from multiple cameras into a fully volumetric recording��
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James McClure, a Computational Scientist with Advanced Research Computing at Virginia Tech describes how they are using the NVIDIA Tesla GPU-accelerated Titan Supercomputer at Oak Ridge National Laboratory. Their project involves mathematical models combined with 3D visualization to provide insight on how fluids move below the surface of the earth. This can ultimately be used to extract oil or to��
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Matthew Zeiler is the founder and CEO of Clarifai, which uses machine learning and deep neural networks to develop the world��s advanced image recognition system. Zeiler received his Ph.D. in machine learning and image recognition, and his research produced the top 5 results in the 2013 ImageNet classification competition. In a recent interview with BigData-MadeSimple.com he highlights that��
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For this interview, I reached out to Janus Juul Eriksen, a Ph.D. fellow at Aarhus University in Denmark. Janus is a chemist by trade without any formal education in computer science; but he is getting up to 12x speed-up compared to his CPU-only code after modifying less than 100 lines of code with one week of programming effort. How did he do this? He used OpenACC. OpenACC is a simple��
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