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Kokkos-Based Implementation of MPCD on Heterogeneous Nodes 14th

Kokkos-Based Implementation of MPCD on Heterogeneous Nodes

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14th international conference on parallel processing and applied mathematics, PPAM 2022

作者： Halver, Rene Junghans, Christoph Sutmann, Godehard Jülich Supercomputing Centre Institute for Advanced Simulation Forschungszentrum Jülich Jülich52425 Germany Los Alamos National Laboratory CCS-7 Los AlamosNM87545 United States ICAMS Ruhr-University Bochum Bochum44801 Germany

ISBN: (纸本)9783031304446

the Kokkos based library Cabana, which has been developed in the Co-design Center for Particle Applications (CoPA), is used for the implementation of Multi-Particle Collision Dynamics (MPCD), a particle-based description of hydrodynamic interactions. It allows a performance portable implementation, which has been used to study the interplay between CPU and GPU usage on a multi-node system. As a result, we see most advantages in a homogeneous GPU usage, but we also discuss the extent to heterogeneous applications, using both CPU and GPU concurrently. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Graphics processing unit

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High-Speed Compilation of Large-Scale Stochastic Circuits 8

High-Speed Compilation of Large-Scale Stochastic Circuits

引用

8th IEEE international conference on Rebooting Computing, ICRC 2023

作者： Ilov, Alex Paler, Alexandru Aalto University Espoo Finland

ISBN: (纸本)9798350382044

Stochastic computing (SC) is executed on bitstreams which encode probabilities into the ratio between the number of one bits and the length of the stream. SC is successfully applied, for example, to image processing and beliefpropagation (BP) of low-density parity-check (LDPC) codes. With increased interest into SC, there is a gap with respect to the available scalable design automation tools needed for the fast prototyping of SC circuits. We bridge this gap by starting from the *** library, and implement data structures and methods to achieve orders of magnitude speed-ups for the compilation of SC circuits. We demonstrate the speedups by compiling BP decoders for LDPC codes. Our improvements enable the compilation of circuits which were previously out of reach for the tools. Our methods pave the way towards scalable design automation of SC. © 2023 IEEE.

关键词： Image processing

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parallel Reinforcement Learning and Gaussian Process Regression for Improved Physics-Based Nasal Surgery Planning 15th

Parallel Reinforcement Learning and Gaussian Process Regres...

引用

15th international conference on parallel processing and applied mathematics, PPAM 2024

作者： Rüttgers, Mario Hübenthal, Fabian Tsubokura, Makoto Lintermann, Andreas Jülich Supercomputing Centre Forschungszentrum Jülich Jülich52428 Germany RWTH Aachen University Aachen52062 Germany Department of Computational Science Graduate School of System Informatics Kobe University Kobe657-8501 Japan Complex Phenomena Unified Simulation Research Team RIKEN Center for Computational Science Kobe650-0047 Japan

ISBN: (纸本)9783031857027

Septoplasty and turbinectomy are among the most frequent but also most debated interventions in the field of rhinology. A previously developed tool enhances surgery planning by physical aspects of respiration, i.e., for the first time a reinforcement learning (RL) algorithm is combined with large-scale computational fluid dynamics (CFD) simulations to plan anti-obstructive surgery. In the current study, an improvement of the tool’s predictive capabilities is investigated for the aforementioned types of surgeries by considering two approaches: (i) training of parallel environments is executed on multiple ranks and the agents of each environment share their experience in a pre-defined interval and (ii) for some of the state-reward combinations the CFD solver is replaced by a Gaussian process regression (GPR) model for an improved computational efficiency. It is found that employing a parallel RL algorithm improves the reliability of the surgery planning tool in finding the global optimum. However, parallel training leads to a larger number of state-reward combinations that need to be computed by the CFD solver. this overhead is compensated by replacing some of the computations with the GPR algorithm, i.e., around 6% of the computations can be saved without significantly degrading the predictions’ accuracy. Nevertheless, increasing the number of state-reward combinations predicted by the GPR algorithm only works to a certain extent, since this also leads to larger errors. © the Author(s) 2025.

关键词： Reinforcement learning

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Comparison Between Different Methods of Segmentation in Dental Image processing 1

引用

8th international conference on Advancements of Medicine and Health Care through Technology, MEDITECH 2022

作者： Stancioi, Cristina-Maria Clitan, Iulia Roman, Marius Nicolae Abrudean, Mihail Muresan, Vlad Technical University of Cluj-Napoca Cluj-Napoca Romania

ISBN: (数字)9783031511202

ISBN: (纸本)9783031511196

this paper presents three different methods of image segmentation and analysis of various panoramic dental radiographies. the images are analyzed from different perspectives depending on the dental condition of each patient’s set of images, so the necessary information for establishing a correct diagnostic are extracted and analyzed. the algorithms are developed using Matlab work environment, so that if an image is hard to interpret, firstly is pre-processed using the Image Segmentation toolbox. Image segmentation methods are applied for analyzing the intra oral configuration of each patient based on the contour, size and intensity of specific surfaces identified by the dental specialist as being problematic. Each method will be detailed in this article and a comparison will be made between the three segmentation methods. Furthermore, another aim of this paper is find the best solution for processing this type of images, which are considered very hard to interpret using an automated tool and also to find even the hidden issues from a panoramic dental radiography. Some diagnostics can be identified from the first look of a specialist, but some images are very hard to interpret, so an automated tool is helpful in this cases. As a conclusion, the solution of processing such an image is developed, tested and finally, it will aid in the analysis of panoramic dental radiography. © 2024, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Image segmentation

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On parallel processing of machine learning based on big data and voronoi tessellation 8

On parallel processing of machine learning based on big data...

引用

8th international Scientific conference "Information Technology and Implementation", IT and I 2021

作者： Martsenyuk, Vasyl Bernas, Marcin Witkowska, Aleksandra Klos Gancarczy, Tomasz University of Bielsko-Biala 2 Willowa Bielsko-Biala43-309 Poland

the paper is devoted to the development of an approach to machine learning for Big Data under epistemic and aleatoric uncertainties which are taken into account with the help of corresponding minimax criteria. the keystone of the method is processing subsets of training data in parallel, using the partitioning based on Voronoi tessellation. Computational complexity is analyzed and compared with sequential data processing. An example from a medical application is considered, where the method is investigated for different learners and resampling strategies. © 2022 CEUR-WS. All rights reserved.

关键词： Big data

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An Efficient Pre-processing Technique using HOLF for 2D Image Interpolation 8

An Efficient Pre-processing Technique using HOLF for 2D Imag...

引用

8th international conference on Signal processing and Communication, ICSC 2022

作者： Panda, Jagyanseni Meher, Sukadev Nit Rourkela Department of Ece Rourkela India Soa University India

ISBN: (纸本)9781665454308

A pre-processing interpolation method is suggested for producing edge preserved high resolution (HR) images of greater size from low resolution (LR) images. there are several interpolation techniques that cause non-uniform blurring in the upscaled image. Upscaling, like low pass filtering, produces blurring in the image's edge region when compared to the flat region. Prior to upscaling, a pre-processing scheme is applied to mitigate blurring artifacts caused by interpolation in order to recover fine details and high frequency (HF). Using a combination of low pass and high pass filters, the LR is decomposed into various frequency sub-bands. the degraded HF bands are extracted and sharpened using higher order laplacian filters (HOLF). this method restores the HF details prior to interpolation to produce an HR image with no blurring artifacts. According to objective and subjective measures, the proposed algorithm outperforms other state-of-the-art methods. © 2022 IEEE.

关键词： Interpolation

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Sentiment Analysis in Social Media Marketing: Leveraging Natural Language processing for Customer Insights 8th

Sentiment Analysis in Social Media Marketing: Leveraging Nat...

引用

8th international conference on Information and Communication Technology for Competitive Strategies, ICTCS 2023

作者： Singh, Kamred Udham Kumar, Ankit Kumar, Gaurav Choudhury, Tanupriya Singh, Teekam Kotecha, Ketan School of Computing Graphic Era Hill University Dehradun India Department of Computer Engineering and Applications GLA University Uttar Pradesh Mathura India CSE Department Symbiosis Institute of Technology Symbiosis International University Lavale Campus Pune411045 India Department of Computer Science and Engineering Graphic Era Deemed to Be University Dehradun India Symbiosis Centre for Applied Artificial Intelligence Symbiosis Institute of Technology Symbiosis International University Pune411045 India

ISBN: (纸本)9789819994885

In this day and age of online marketing, social media platforms have evolved into essential tools for companies to use in order to communicate with their consumers, as well as to advertise the goods and services they provide. Understanding client emotion, tastes, and views may be significantly aided by perusing the vast amounts of user-generated information that can be found on these many platforms. this study investigates the use of sentiment analysis, a branch of natural language processing (NLP), as a potent instrument for gleaning useful consumer insights from data collected from social media platforms like as Facebook and Twitter. the application of computer methods in the process of automatically determining and categorising the sentiment that is represented in textual data, such as tweets, Facebook posts, and online reviews, is what is known as sentiment analysis. In this article, the primary methodology and techniques used in sentiment analysis, such as lexicon-based, machine learning, and deep learning approaches, are dissected and discussed. In addition to this, it sheds light on the difficulties and factors to take into account that are unique to sentiment analysis when applied to the context of data from social media, such as the management of noisy and unstructured language, the management of sarcasm, and the management of context-dependent sentiment. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Sentiment analysis

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Implementation of an Asymptotically Compact Algorithm for GPU Simulation of an Acoustic Equation 17th

Implementation of an Asymptotically Compact Algorithm for...

引用

17th international Scientific conference on parallel Computational Technologies, PCT 2023

作者： Zakirov, Andrey Perepelkina, Anastasia Keldysh Institute of Applied Mathematics Moscow Russia

ISBN: (纸本)9783031388637

In this paper, an acoustic equation is simulated with a numerical scheme involving a cross stencil. It is a memory-bound problem, and the performance depends greatly on data access patterns. In the compact update, all data are loaded and stored once per data update, in contrast to the usual update, where data accessed by stencil dependencies can be loaded several times. Also, we implement the asymptotically compact update in the TorreFold LRnLA algorithm on GPU. In the LRnLA algorithm, several time layers are grouped into one task that is asymptotically compact as a whole. Efficient memory transfers allow the processing of data in the CPU storage with the GPU power, so we demonstrate the efficiency through the solution of problems with more than 160 GB of data. Multi-GPU parallel scaling is also established. A performance of up to 50 billion LU/s (lattice updates per second) and 23 billion LU/s is obtained on RTX3090 for single and double precisions correspondingly. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Graphics processing unit

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16th international conference on Computer Graphics, Visualization, Computer Vision and Image processing, CGVCVIP 2022, 8th international conference on Connected Smart Cities, CSC 2022, 7th international conference on Big Data Analytics, Data Mining and Computational Intelligence, BigDaCI 2022, and 11th international conference on theory and Practice in Modern Computing, TPMC 2022 - Held at the 16th Multi conference on Computer Science and Information Systems, MCCSIS 2022

16th International Conference on Computer Graphics, Visualiz...

引用

16th international conference on Computer Graphics, Visualization, Computer Vision and Image processing, CGVCVIP 2022, 8th international conference on Connected Smart Cities, CSC 2022, 7th international conference on Big Data Analytics, Data Mining and Computational Intelligence, BigDaCI 2022, and 11th international conference on theory and Practice in Modern Computing, TPMC 2022 - Held at the 16th Multi conference on Computer Science and Information Systems, MCCSIS 2022

ISBN: (纸本)9789898704429

the proceedings contain 32 papers. the topics discussed include: professional course offered within a technical academy concerning the innovative BIM technology;heatmap matrix: using reordering, discretization and filtering resources to assist multidimensional data analysis;BIM teaching and programing in dynamo applied in the maintenance of buildings;3D pose estimation by grouped feature fusion and motion amplitude encoding;identifying wear particles with their shape attribute;using reorderable heatmaps as a support for data assimilation in petroleum reservoir management and development processes;detection of fashion landmarks based on pose estimation and human parsing;design elements extraction based on unsupervised segmentation and compact vectorization;domain adaptation in image dehazing: exploring the usage of images from virtual scenarios;and interpolation and context magnification framework for classification of scene images.

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Modeling of Soft Fingertip for Precise Sliding Prediction 8

Modeling of Soft Fingertip for Precise Sliding Prediction

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8th IEEE international conference on Advanced Robotics and Mechatronics, ICARM 2023

作者： Yu, Jieji Ma, Xiaolong Zhou, Xuanyi Bao, Guanjun College of Mechanical Engineering Zhejiang University of Technology Hangzhou310023 China Ministry of Education and Zhejiang Province Zhejiang University of Technology Key Laboratory of Special Purpose Equipment and Advanced Processing Technology Hangzhou310023 China College of Mechanical and Electrical Engineering China Jiliang University Hangzhou310018 China

ISBN: (纸本)9798350300178

the dynamic slid process of soft fingertips on its object acts an important role in robotic grasping and in-hand manipulation. In order to study the deformation of the fingertip in this process, we regarded the soft fingertip as composed of a finite number of compressible and flexible cantilevers, and simulated the two-dimensional model of the soft fingertip, by focusing on the local displacement phenomenon and analyzing the sliding time sequence of the contacting point on the surface. We set up a finite element model for the sliding soft fingertip, and experimentally verified the local displacement change of the contact surface node when sliding occurs. Furthermore, a slip prediction method based on the position change pattern of the last sliding point under different initial normal grasping forces is proposed. © 2023 IEEE.

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