Results 41 to 50 of about 79,266 (321)

RT-CUDA: A Software Tool for CUDA Code Restructuring [PDF]

open access: yesInternational Journal of Parallel Programming, 2016
Recent development in graphic processing units (GPUs) has opened a new challenge in harnessing their computing power as a new general purpose computing paradigm. However, porting applications to CUDA remains a challenge to average programmers, which have to package code in separate functions, explicitly manage data transfers between the host and device
Khan, Ayaz H.   +3 more
openaire   +2 more sources

Potent and Long‐Lasting Immunogenicity Generated by LNP‐mRNA gE Antigen Against Varicella Zoster Virus via an AI‐Assisted Pipeline

open access: yesAdvanced Science, EarlyView.
This study designs a novel mRNA‐LNP vaccine targeting VZV glycoprotein E (gE) for herpes zoster via an AI‐assisted pipeline. Validated in mice and rhesus macaques, the mRNA‐LNP vaccine shows strong humoral and cellular immune responses, with CD4+ T‐cell responses more effective and durable than Shingrix, offering a promising prophylactic option ...
Kai Dong   +6 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

Near‐Field Acoustic Imaging Using Fiber‐Optic Distributed Acoustic Sensing and Beamforming Techniques

open access: yesAdvanced Science, EarlyView.
This work introduces a beamforming‐based method to generate acoustic images from fiber‐optic distributed acoustic sensing (DAS) data. By performing 2D scanning around the sensing fiber, the approach enables near‐field imaging and localization of acoustic sources, even in regions distant from the fiber. A data‐driven DAS channel selection improves image
Marcelo A. Soto   +1 more
wiley   +1 more source

A Cloud Computing Service Architecture of a Parallel Algorithm Oriented to Scientific Computing with CUDA and Monte Carlo

open access: yesCybernetics and Information Technologies, 2013
The GPGPU (General Purpose Graphics Processing Units) have become a whole new area for research due to the fast development of GPU hardware and programming tools, such as CUDA (Compute Unified Device Architecture).
Yimu Ji   +5 more
doaj   +1 more source

Serial and parallel implementation of Needleman-Wunsch algorithm

open access: yesIJAIN (International Journal of Advances in Intelligent Informatics), 2020
Needleman-Wunsch dynamic programming algorithm measures the similarity of the pairwise sequence and finds the optimal pair given the number of sequences.
Yun Sup Lee, Yu Sin Kim, Roger Luis Uy
doaj   +1 more source

CELLama: Foundation Model for Single Cell and Spatial Transcriptomics by Cell Embedding Leveraging Language Model Abilities

open access: yesAdvanced Science, EarlyView.
CELLama is created, a framework that harnesses language models to convert cellular data into “sentences” that represent gene expression and metadata, enabling a universal embedding of cells. Unlike most single‐cell foundation models, CELLama supports scalable analysis and offers flexible applications including spatial transcriptomics.
Jeongbin Park   +7 more
wiley   +1 more source

Аlgorithm of fast computation of local image histograms on video card1

open access: yesInformatika, 2019
An algorithm of parallel computation of image histograms of different types, including brightness and oriented gradient ones, on video cards of various types is presented.
Ph. S. Trotski, B. A. Zalesky
doaj  

Implementing implicit OpenMP data sharing on GPUs

open access: yes, 2017
OpenMP is a shared memory programming model which supports the offloading of target regions to accelerators such as NVIDIA GPUs. The implementation in Clang/LLVM aims to deliver a generic GPU compilation toolchain that supports both the native CUDA C/C++
Bataev, Alexey   +8 more
core   +1 more source

A Deep Representation Learning Method for Quantitative Immune Defense Function Evaluation and Its Clinical Applications

open access: yesAdvanced Science, EarlyView.
ImmuDef, a novel algorithm to quantitatively evaluate the anti‐infection immune defense function of an individual based on RNA‐seq data via a variational autoencoder (VAE) model. It is validated on 3200+ samples across four immune states with high accuracy. It can serve as a metric for disease severity and prognosis across pathogenic cohorts.
Zhen‐Lin Tan   +7 more
wiley   +1 more source

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