Numerical behavior of NVIDIA tensor cores by Massimiliano Fasi, Nicholas J. Higham, Mantas Mikaitis, Srikara Pranesh

Subjects: “…NVIDIA V100 GPU…”
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Accelerating genomic workflows using NVIDIA Parabricks by Kyle A. O’Connell, Zelaikha B. Yosufzai, Ross A. Campbell, Collin J. Lobb, Haley T. Engelken, Laura M. Gorrell, Thad B. Carlson, Josh J. Catana, Dina Mikdadi, Vivien R. Bonazzi, Juergen A. Klenk

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Nvidia at the Center of the Generative AI Ecosystem—For Now by Cusumano, Michael

“…This column explores several questions behind Nvidia’s extraordinary history and position in the center of the Generative AI ecosystem. …”
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Explainable importance ranking of research paper (NVIDIA) by You, Yatao

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Computer vision applications on the NVIDIA jetson platform by Denny

“…Video stabilization, a video enhancement technique which removes unwanted shake, is becoming increasingly important with the emergence of embedded systems with cameras. The NVIDIA Jetson platforms, claimed to be the cutting-edge solutions to embedded computer vision and machine learning, have been commercially integrated into moving platforms such as drones. …”
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Motion detection using Nvidia Jetson platfom by Azri Ishak

“…The system is built on an Nvidia Jetson TX2, which is a mini low-powered embedded device that is capable of offering real time responsiveness and low latency.…”
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Image processing applications on the Nvidia Jetson platform by Tan, Jacky Shou Siang

“…The hardware used to execute this project is Nvidia Jetson TX2 developer kit given its computing performance and mobility. …”
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Development of prototype based on NVIDIA DIGITS for PyTorch by Chen, Benedict Si-Yuan

“…The report covers three main sections. First, the NVIDIA DIGITS section will cover the basic features and information on using the interface. …”
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Photoelectric Target Detection Algorithm Based on NVIDIA Jeston Nano by Shicheng Zhang, Laixian Zhang, Huayan Sun, Huichao Guo

“…This paper proposes a photoelectric target detection algorithm for NVIDIA Jeston Nano embedded devices, exploiting the characteristics of active and passive differential images of lasers after denoising. …”
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NVIDIA CUDA application to train and decode the Hidden Markov Models by Pavel Zatsepin, Denis Gefke

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Computing of 3D Bifurcation Diagrams With Nvidia CUDA Technology by Artur Pala, Marek Machaczek

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NVIDIA CUDA application to train and decode the Hidden Markov Models by Pavel Zatsepin, Denis Gefke

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Blackthorn: Latency Estimation Framework for CNNs on Embedded Nvidia Platforms by Martin Lechner, Axel Jantsch

“…In this work, we propose Blackthorn, a layer-wise latency estimation framework for embedded Nvidia GPUs based on analytical models. We provide accurate predictions for each layer, helping developers to find bottlenecks and optimize the architecture of a DNN to fit target platforms. …”
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Applying of the NVIDIA CUDA to the video processing in the task of the roundwood volume estimation by Kruglov Artem, Chiryshev Andrey, Shishko Evgeniya

“…The analysis of various GPGPU techniques was observed and the NVIDIA CUDA technology was chosen for implementation. …”
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Performance Evaluation of cuDNN Convolution Algorithms on NVIDIA Volta GPUs by Marc Jorda, Pedro Valero-Lara, Antonio J. Pena

“…For 16-bit FP, leveraging specialized arithmetic units (NVIDIA Tensor Cores) is key to obtain the best performance.…”
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Simulation-to-real transfer of mobile manipulator control using NVIDIA Omniverse by Ng, Chun Lin

“…This study will explore the use of Nvidia Omniverse Isaac Sim for simulation-to-real transfer of mobile manipulators. …”
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Bits Missing: Finding Exotic Pulsars Using bfloat16 on NVIDIA GPUs by Jack White, Karel Adámek, Jayanta Roy, Sofia Dimoudi, Scott M. Ransom, Wesley Armour

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Neural network training acceleration using NVIDIA CUDA technology for image recognition by Alexander A Fertsev

“…Training of neural network increased by almost 9 times using NVIDIA CUDA technology. Implemented neural network is used for the recognition of noised images.…”
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Implementing OpenMP 4.0 for the NVIDIA PTX architecture in GCC compiler by A. V. Monakov, V. A. Ivanishin

“…NVIDIA provides a specification of the abstract PTX architecture for the purpose of low-level, and yet portable, programming of their GPU accelerators. …”
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Solving the traveling salesman problem using genetic algorithm on Nvidia Cuda GPU by Quang, Mau Bach.

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