Results 71 to 80 of about 48,067 (311)
Survey of using GPU CUDA programming model in medical image analysis
Informatics in Medicine Unlocked, 2017 With the technology development of medical industry, processing data is expanding rapidly and computation time also increases due to many factors like 3D, 4D treatment planning, the increasing sophistication of MRI pulse sequences and the growing ...
T. Kalaiselvi +2 more
doaj +1 more source
, 2023 This is the artifacts of paper "Efficient Maximal Biclique Enumeration on GPUs", which will appear in SC'23. Abstract: Maximal biclique enumeration (MBE) in bipartite graphs is an important problem in data mining with many real-world applications.
Pz1996, fhxu00
core +1 more source
Advanced Materials Technologies, EarlyView.ABSTRACT Quantifying oral polymorphonuclear neutrophils (oPMNs) is a clinically validated approach for assessing periodontal inflammation. However, current methods, such as manual hemocytometry and flow cytometry, are time‐consuming (>3 h), require invasive sampling, and depend on staining and complex instrumentation, making them unsuitable for point ...
Mohsen Hassani +9 more
wiley +1 more source
Acceleration-as-a-Service : exploiting virtualised GPUs for a financial application
, 2015 This research was supported by an NVIDIA award, the EPSRC EP/K015745/1 grant, and the Generalitat Valenciana PROMETEOII/2013/009 grant of the PROMETEO program phase II.
Javier Prades +7 more
core +1 more source
Advanced Materials Technologies, EarlyView.This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov +3 more
wiley +1 more source
CPU–GPU Utilization Aware Energy-Efficient Scheduling Algorithm on Heterogeneous Computing Systems
IEEE Access, 2020 Nowadays, heterogeneous computing systems have proven to be a good solution for processing computation intensive high-performance applications. The main challenges for such large-scale systems are energy consumption, computing node CPU-GPU utilization ...
Xiaoyong Tang, Zhuojun Fu
doaj +1 more source
Experiences with porting and modelling wavefront algorithms on many-core architectures [PDF]
, 2010 We are currently investigating the viability of many-core architectures for the acceleration of wavefront applications and this report focuses on graphics processing units (GPUs) in particular.
Pennycook, Simon J. +3 more
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GPU Computing: An Introduction
, 2019 The graphics processing unit GPU is a computer chip that performs rapid mathematical calculations. GPU is a ubiquitous device which appears in every computing systems such PC, laptop, desktop, and workstation.
Adedamola A. Omotoso +2 more
core +1 more source
Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
Advanced Robotics Research, EarlyView.A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo +6 more
wiley +1 more source
Graphics processing unit accelerated coarse-grained protein-protein docking [PDF]
, 2011 Includes abstract.Includes bibliographical references (leaves [187]-202).In this work, we describe a Graphics processing unit (GPU) implementation of the Kim-Hummer coarse-grained model for protein docking simulations, using a Replica Exchange Monte ...
Tunbridge, Dr Ian +1 more
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