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Benchmarking and Dissecting the Nvidia Hopper GPU Architecture

IEEE International Parallel and Distributed Processing Symposium
Graphics processing units (GPUs) are continually evolving to cater to the computational demands of contemporary general-purpose workloads, particularly those driven by artificial intelligence (AI) utilizing deep learning techniques. A substantial body of
Weile Luo   +5 more
semanticscholar   +1 more source

GPU-accelerated molecular dynamics: State-of-art software performance and porting from Nvidia CUDA to AMD HIP

The international journal of high performance computing applications, 2021
Classical molecular dynamics (MD) calculations represent a significant part of the utilization time of high-performance computing systems. As usual, the efficiency of such calculations is based on an interplay of software and hardware that are nowadays ...
N. Kondratyuk   +3 more
semanticscholar   +1 more source

NVIDIA FlameWorks

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.
openaire   +1 more source

NVIDIA Nemotron 3: Efficient and Open Intelligence

arXiv.org
We introduce the Nemotron 3 family of models - Nano, Super, and Ultra. These models deliver strong agentic, reasoning, and conversational capabilities. The Nemotron 3 family uses a Mixture-of-Experts hybrid Mamba-Transformer architecture to provide best ...
Nvidia Aaron Blakeman   +356 more
semanticscholar   +1 more source

First Impressions of the NVIDIA Grace CPU Superchip and NVIDIA Grace Hopper Superchip for Scientific Workloads

HPC Asia Workshops
The engineering samples of the NVIDIA Grace CPU Superchip and NVIDIA Grace Hopper Superchips were tested using different benchmarks and scientific applications. The benchmarks include HPCC and HPCG.
N. Simakov   +4 more
semanticscholar   +1 more source

AI-Powered Video Monitoring: Assessing the NVIDIA Jetson Orin Devices for Edge Computing Applications

IEEE Transportation Electrification Conference and Expo
This paper evaluates the performance of the NVIDIA Jetson Orin family of devices for AI and edge computing applications, focusing on a parking lot surveillance example with CVEDIA-RT software.
F. Scalcon   +8 more
semanticscholar   +1 more source

Drone detection using YOLOv3 with transfer learning on NVIDIA Jetson TX2

International Symposium Instrumentation, Control, Artificial Intelligence, and Robotics, 2021
The rise of drones in the recent years largely due to the advancements of drone technology which provide drones the ability to perform many more complex tasks autonomously with the incorporation of technologies such as computer vision, object avoidance ...
Daniel Tan Wei Xun   +2 more
semanticscholar   +1 more source

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

EPJ Web of Conferences
OpenMC is an open source Monte Carlo neutral particle transport application that has recently been ported to GPU using the OpenMP target offloading model.
John R. Tramm   +7 more
semanticscholar   +1 more source

NVIDIA Jetson Platform Characterization

2017
This study characterizes the NVIDIA Jetson TK1 and TX1 Platforms, both built on a NVIDIA Tegra System on Chip and combining a quad-core ARM CPU and an NVIDIA GPU. Their heterogeneous nature, as well as their wide operating frequency range, make it hard for application developers to reason about performance and determine which optimizations are worth ...
Hassan Halawa   +3 more
openaire   +1 more source

Demystifying NVIDIA GPU Internals to Enable Reliable GPU Management

IEEE Real Time Technology and Applications Symposium
As GPU-dependent artificial intelligence and ma-chine learning workloads increasingly come to embedded, safety-critical systems-such as self-driving cars-real-time predictabil-ity for GPU-using tasks becomes essential.
Joshua Bakita, James H. Anderson
semanticscholar   +1 more source

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