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NVIDIA GPGPUs Instructions Energy Consumption
2020 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 2020In this work, we accurately measure the energy consumption of the different instructions that can be executed in modern NVIDIA GPGPUs. We use three different software techniques to read the GPU on-chip power sensors, which use NVIDIA’s NVML API and provide an in-depth comparison between these techniques.
Yehia Arafa +8 more
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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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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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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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Adaptive Frameless Rendering with NVIDIA OptiX
2019We implement adaptive frameless rendering (AFR) on NVIDIA OptiX, a real-time ray tracing API taking advantage of NVIDIA GPUs including their latest RTX functionality. OptiX is a parallel system that sits on top of NVIDIA's better-known CUDA API. AFR has sampling and reconstruction processes that use information distributed across both space and time ...
Chung-Che Hsiao, Benjamin Watson 0001
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The NVIDIA® championships at QuakeCon 2005
Computers in Entertainment, 2005Tournament line up includes a little old school, a little new school, and $150,000 in cashMESQUITE, Texas -- June 10, 2005 -- The NVIDIA Championships at QuakeCon will take on a slightly different flavor in 2005, with new tournaments for gamers to show off their skills as part the 10th annual QuakeCon, the largest four day gaming festival in North ...
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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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