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NVIDIA A100 Tensor Core GPU: Performance and Innovation
IEEE Micro, 2021NVIDIA A100 Tensor Core GPU is NVIDIA's latest flagship GPU. It has been designed with many new innovative features to provide performance and capabilities for HPC, AI, and data analytics workloads.
Jack Choquette
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NVIDIA Hopper H100 GPU: Scaling Performance
IEEE Micro, 2023The H100 Tensor Core GPU is NVIDIA’s latest flagship GPU. It has been designed to provide industry leading performance for high-performance computing, artificial intelligence, and data analytics datacenter workloads. Notable new features include a fourth-
Jack Choquette
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A Survey on optimized implementation of deep learning models on the NVIDIA Jetson platform
Journal of Systems Architecture, 2019Design of hardware accelerators for neural network (NN) applications involves walking a tight rope amidst the constraints of low-power, high accuracy and throughput.
Sparsh Mittal
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Procedia Computer Science
The proliferation of complex deep learning (DL) models has revolutionized various applications, including computer vision-based solutions, prompting their integration into real-time systems.
Tushar Prasanna Swaminathan +2 more
exaly +2 more sources
The proliferation of complex deep learning (DL) models has revolutionized various applications, including computer vision-based solutions, prompting their integration into real-time systems.
Tushar Prasanna Swaminathan +2 more
exaly +2 more sources
Hardware Compute Partitioning on NVIDIA GPUs*
IEEE Real Time Technology and Applications Symposium, 2023Embedded and autonomous systems are increasingly integrating AI/ML features, often enabled by a hardware accelerator such as a GPU. As these workloads become increasingly demanding, but size, weight, power, and cost constraints remain unyielding, ways to
Joshua Bakita, James H. Anderson
semanticscholar +1 more source
Quantum Mechanics/Molecular Mechanics Simulations on NVIDIA and AMD Graphics Processing Units
Journal of Chemical Information and Modeling, 2023We have ported and optimized the graphics processing unit (GPU)-accelerated QUICK and AMBER-based ab initio quantum mechanics/molecular mechanics (QM/MM) implementation on AMD GPUs.
M. Manathunga +3 more
semanticscholar +1 more source
An Open, Programmable, Multi-Vendor 5G O-RAN Testbed with NVIDIA ARC and OpenAirInterface
Conference on Computer Communications Workshops, 2023The transition of fifth generation (5G) cellular systems to softwarized, programmable, and intelligent networks depends on successfully enabling public and private 5G deployments that are (i) fully software-driven and (ii) with a performance at par with ...
Davide Villa +11 more
semanticscholar +1 more source
IEEE International Conference on e-Science, 2023
Quantum computer simulators are crucial for the development of quantum computing. This work investigates GPU and multi-GPU systems' suitability and performance impact on a widely used simulation tool – the state vector simulator Qiskit Aer. In particular,
Jennifer Faj +3 more
semanticscholar +1 more source
Quantum computer simulators are crucial for the development of quantum computing. This work investigates GPU and multi-GPU systems' suitability and performance impact on a widely used simulation tool – the state vector simulator Qiskit Aer. In particular,
Jennifer Faj +3 more
semanticscholar +1 more source
NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model
arXiv.orgWe introduce Nemotron-Nano-9B-v2, a hybrid Mamba-Transformer language model designed to increase throughput for reasoning workloads while achieving state-of-the-art accuracy compared to similarly-sized models. Nemotron-Nano-9B-v2 builds on the Nemotron-H
Nvidia Aarti Basant +209 more
semanticscholar +1 more source
Nvidia’s Arm Deal Investigated
New Electronics, 2021IS THE UK PROBE JUST ANOTHER EXAMPLE OF HOW GOVERNMENTS ARE LOOKING TO TIGHTEN THEIR CONTROL OF SEMICONDUCTOR TECHNOLOGY?
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