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ACM SIGGRAPH 2014 Computer Animation Festival, 2014
FlameWorks is a system for adding realistic fire, smoke, and explosion effects to games. It combines a state-of-the-art grid-based fluid simulator with an efficient volume-rendering system, all optimized to run in real time. It runs entirely on the GPU using DirectX 11.
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FlameWorks is a system for adding realistic fire, smoke, and explosion effects to games. It combines a state-of-the-art grid-based fluid simulator with an efficient volume-rendering system, all optimized to run in real time. It runs entirely on the GPU using DirectX 11.
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2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2017
Learn how hardware and software stacks enable not only quick prototyping, but also efficient large-scale production deployments. The tutorial will conclude with a discussion about hands-on deep learning training opportunities as well as free academic teaching materials and GPU cloud platforms for university faculty.
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Learn how hardware and software stacks enable not only quick prototyping, but also efficient large-scale production deployments. The tutorial will conclude with a discussion about hands-on deep learning training opportunities as well as free academic teaching materials and GPU cloud platforms for university faculty.
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Performance of the NVIDIA Jetson TK1 in HPC
2015 IEEE International Conference on Cluster Computing, 2015The NVIDIA Jetson is demonstrated as a competitiveHPC platform. The Jetson has 192 Kepler CUDA cores that are"true" in that they share a processor: in the case of the Jetson, a32-bit ARM Cortex-A15 variant low power architecture. Ourwork explores the use cases of the Jetson TK1 board as aninterface device for cloud computing, and also as a ...
Yash Ukidave +3 more
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The financial and industrial situation of NVIDIA
Finance & EconomicsNVIDIA has been gaining the world’s attention in recent years. Since its operation, it has shown great creativity and productivity. Most people in the world will come up with NVIDIA in mind when it comes to gaming GPUs. Thus, a brief introduction to this company seems significant.
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Leveraging NVIDIA Omniverse for In Situ Visualization
2019Typical in situ visualization approaches involve rendering images of the simulation data in step with the simulation itself, using in situ visualization tools such as ParaView Catalyst, VisIt libsim, or SENSEI. For these approaches, one has to determine visualization parameters such as camera perspective, color maps, or scene properties in advance. The
Mathias Hummel, Kees van Kooten
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nVidia CUDA Platform in Graph Visualization
2016Many today’s practical problems, e.g. bioinformatics, data mining or social networks can be visualized and better examined and understood in the form of a graph. Elaborating big graphs, however, requires high computing power. The performance of CPUs is not sufficient for this purpose but graphics processing unit (GPU) may serve as a suitable high ...
Ondrej Klapka, Antonín Slabý
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Journal of Information Technology Teaching Cases
The case examines Nvidia’s rise during 2020 and 2021 as it moved from a graphics chip specialist to a dominant force in data center computing. The analysis focuses on Nvidia’s software moat built through CUDA, its acquisition of Mellanox, and its attempt to acquire Arm.
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The case examines Nvidia’s rise during 2020 and 2021 as it moved from a graphics chip specialist to a dominant force in data center computing. The analysis focuses on Nvidia’s software moat built through CUDA, its acquisition of Mellanox, and its attempt to acquire Arm.
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An Analysis of the Future of Nvidia
Advances in Economics, Management and Political SciencesNvidia is the most valuable semiconductor, worth 1.14 trillion dollars. Potential investors need to understand the risk involved when investing in major tech stocks like Nvidia. Today, many companies focus on the quantitative analysis of Nvidia, so to do a more comprehensive and complete investigation, this article analyses the fundamentals of NVIDIA ...
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