Results 31 to 40 of about 34,039 (292)

Research on the simulation of PF-LBM model based on MPI+CUDA mixed granularity parallel

open access: yesAIP Advances, 2018
A microstructure numerical model is an intensive computational problem, for which the simulation time is too long and the simulation scale is too small. To solve these two problems, in this article, we use MPI+CUDA hybrid particle heterogeneous parallel ...
Changsheng Zhu   +3 more
doaj   +1 more source

CUDA Quantum

open access: yes
<p>The 0.7.0 release adds support for using NVIDIA Quantum Cloud, giving you access to our most powerful GPU-accelerated simulators even if you don't have an NVIDIA GPU. With 0.7.0, we have furthermore greatly increased expressiveness of the Python
The CUDA Quantum development team
core   +2 more sources

Lowering IrGL to CUDA

open access: yesCoRR, 2016
The IrGL intermediate representation is an explicitly parallel representation for irregular programs that targets GPUs. In this report, we describe IrGL constructs, examples of their use and how IrGL is compiled to CUDA by the Galois GPU compiler.
Sreepathi Pai, Keshav Pingali
openaire   +2 more sources

ribesstefano/GPU-accelerated-Finite-Element-Method-using-Python-and-CUDA: Initial Release

open access: yes, 2023
<p>Initial release of the work done within the course <em>TRA105 - GPU-accelerated Computational Methods using Python and CUDA</em>, held at Chalmers University.</p> <p><strong>Full Changelog</strong>: <a href=
Kim Louisa Auth   +2 more
core   +1 more source

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

open access: yesAdvanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle   +5 more
wiley   +1 more source

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

open access: yesAdvanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar   +8 more
wiley   +1 more source

Brazilian Peppertree Thrips Pseudophilothrips ichini (Hood) (Insecta: Thysanoptera: Phlaeothripidae)

open access: yesEDIS, 2020
The Brazilian peppertree thrips, Pseudophilothrips ichini (Hood) (Thysanoptera: Phlaeothripidae), is an insect native to Brazil (Figure 1). This species has been studied for the last 20+ years as a potential biological control agent of Brazilian ...
Patricia Prade   +2 more
doaj   +1 more source

Comparative Study of the Execution Time of Parallel Heat Equation on CPU and GPU

open access: yesJournal of Communications Software and Systems, 2021
Parallelization has become a universal technique for computing an intensive scientific simulation to shorten the execution time of complex problems. It consists of bringing together the power of several thousand processors to perform complex calculations
Safa Belhaous   +3 more
doaj   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

open access: yesAdvanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki   +2 more
wiley   +1 more source

Methods of consumer gpu virtualization for cloud services: comparative analysis of performance and latency

open access: yesВестник Самарского университета: Естественнонаучная серия
This paper investigates methods of consumer graphics processor (GPU) virtualization for cloud services applications. A comparative analysis of GPU passthrough, SR-IOV, MIG, and time-sliced vGPU technologies is conducted.
A. E. Bazhenov   +3 more
doaj   +1 more source

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