• Title/Summary/Keyword: HPC method

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Simulated of flow in a three-dimensional porous structure by using the IB-SEM system

  • Wang, Jing;Li, Shucai;Li, Liping;Song, Shuguang;Lin, Peng;Ba, Xingzhi
    • Geomechanics and Engineering
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    • v.18 no.6
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    • pp.651-659
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    • 2019
  • The IB-SEM numerical method combines the spectral/hp element method and the rigid immersed boundary method. This method avoids the problems of low computational efficiency and errors that are caused by the re-division of the grid when the solids move. Based on the Fourier transformation and the 3D immersed boundary method, the 3D IB-SEM system was established. Then, using the open MPI and the Hamilton HPC service, the computational efficiency was increased substantially. The flows around a cylinder and a sphere were simulated by the system. The surface of the cylinder generates vortices with alternating shedding, and these vortices result in a periodic force acting on the surface of the cylinder. When the shedding vortices enter the flow field behind the cylinder, a recirculation zone is formed. Finally, the three-dimensional pore flow was successfully investigated.

Design and Implementation of High-Performance Cryptanalysis System Based on GPUDirect RDMA (GPUDirect RDMA 기반의 고성능 암호 분석 시스템 설계 및 구현)

  • Lee, Seokmin;Shin, Youngjoo
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.32 no.6
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    • pp.1127-1137
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    • 2022
  • Cryptographic analysis and decryption technology utilizing the parallel operation of GPU has been studied in the direction of shortening the computation time of the password analysis system. These studies focus on optimizing the code to improve the speed of cryptographic analysis operations on a single GPU or simply increasing the number of GPUs to enhance parallel operations. However, using a large number of GPUs without optimization for data transmission causes longer data transmission latency than using a single GPU and increases the overall computation time of the cryptographic analysis system. In this paper, we investigate GPUDirect RDMA and related technologies for high-performance data processing in deep learning or HPC research fields in GPU clustering environments. In addition, we present a method of designing a high-performance cryptanalysis system using the relevant technologies. Furthermore, based on the suggested system topology, we present a method of implementing a cryptanalysis system using password cracking and GPU reduction. Finally, the performance evaluation results are presented according to demonstration of high-performance technology is applied to the implemented cryptanalysis system, and the expected effects of the proposed system design are shown.

A FE2 multi-scale implementation for modeling composite materials on distributed architectures

  • Giuntoli, Guido;Aguilar, Jimmy;Vazquez, Mariano;Oller, Sergio;Houzeaux, Guillaume
    • Coupled systems mechanics
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    • v.8 no.2
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    • pp.99-109
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    • 2019
  • This work investigates the accuracy and performance of a $FE^2$ multi-scale implementation used to predict the behavior of composite materials. The equations are formulated assuming the small deformations solid mechanics approach in non-linear material models with hardening plasticity. The uniform strain boundary conditions are applied for the macro-to-micro transitions. A parallel algorithm was implemented in order to solve large engineering problems. The scheme proposed takes advantage of the domain decomposition method at the macro-scale and the coupling between each subdomain with a micro-scale model. The precision of the method is validated with a composite material problem and scalability tests are performed for showing the efficiency.

Characteristics of Diffusion Coefficient of High Performance Concrete using GGBFS for Road Structures by Accelerating Test Method (슬래그 미분말 혼입률에 따른 도로구조물용 고성능 콘크리트의 압축강도 및 촉진 염소이온 확산 특성)

  • Han, Seong-Woo;Kim, Hong-Sam;Lee, Chan-Young;Cheong, Hai-Moon;Ahn, Tae-Song
    • Proceedings of the Korea Concrete Institute Conference
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    • 2008.04a
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    • pp.885-888
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    • 2008
  • In recent years, the terminology "High-Performance Concrete(HPC)" has been introduced into the construction industry. Most high-performance concretes have a high cementitious content and a low water-cementitious material ratio. The proportions of the individual constituents vary depending on local preferences and local materials. Therefore, many trial batches are usually necessary before a successful mix is developed. The objective of this experiments is to investigate the fundamental properties of high performance concrete based binary cimentitious materials such as ordinary portland cement and ground granulated blast furnace slag. The results from the study will be utilized as the basic data and guideline in making standard mixproportions and the manufacture, construction work and quality control of HPC

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Analysis of Traffic and Attack Frequency in the NURION Supercomputing Service Network (누리온 슈퍼컴퓨팅서비스 네트워크에서 트래픽 및 공격 빈도 분석)

  • Lee, Jae-Kook;Kim, Sung-Jun;Hong, Taeyoung
    • KIPS Transactions on Computer and Communication Systems
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    • v.9 no.5
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    • pp.113-120
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    • 2020
  • KISTI(Korea Institute of Science and Technology Information) provides HPC(High Performance Computing) service to users of university, institute, government, affiliated organization, company and so on. The NURION, supercomputer that launched its official service on Jan. 1, 2019, is the fifth supercomputer established by the KISTI. The NURION has 25.7 petaflops computation performance. Understanding how supercomputing services are used and how researchers are using is critical to system operators and managers. It is central to monitor and analysis network traffic. In this paper, we briefly introduce the NURION system and supercomputing service network with security configuration. And we describe the monitoring system that checks the status of supercomputing services in real time. We analyze inbound/outbound traffics and abnormal (attack) IP addresses data that are collected in the NURION supercomputing service network for 11 months (from January to November 1919) using time series and correlation analysis method.

Parallelization of Genome Sequence Data Pre-Processing on Big Data and HPC Framework (빅데이터 및 고성능컴퓨팅 프레임워크를 활용한 유전체 데이터 전처리 과정의 병렬화)

  • Byun, Eun-Kyu;Kwak, Jae-Hyuck;Mun, Jihyeob
    • KIPS Transactions on Computer and Communication Systems
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    • v.8 no.10
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    • pp.231-238
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    • 2019
  • Analyzing next-generation genome sequencing data in a conventional way using single server may take several tens of hours depending on the data size. However, in order to cope with emergency situations where the results need to be known within a few hours, it is required to improve the performance of a single genome analysis. In this paper, we propose a parallelized method for pre-processing genome sequence data which can reduce the analysis time by utilizing the big data technology and the highperformance computing cluster which is connected to the high-speed network and shares the parallel file system. For the reliability of analytical data, we have chosen a strategy to parallelize the existing analytical tools and algorithms to the new environment. Parallelized processing, data distribution, and parallel merging techniques have been developed and performance improvements have been confirmed through experiments.

Optimizing LRU Lock Management in the Linux Kernel for Improving Parallel Write Throughout in Many-Core CPU Systems (매니코어 CPU 시스템의 병렬 쓰기 성능 향상을 위한 리눅스 커널의 LRU 관리 최적화 기법)

  • Eun-Kyu Byun;Gibeom Gu;Kwang-Jin Oh;Jiwoo Bang
    • KIPS Transactions on Computer and Communication Systems
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    • v.12 no.7
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    • pp.209-216
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    • 2023
  • Modern HPC systems are equipped with many-core CPUs with dozens of cores. When performing parallel I/O in such a system, there is a limit to scalability due to the problem of the LRU lock management policy of the Linux system. The study proposes an improved FinerLRU to solve this problem. Our new FinerLRU improves the parallel write performance of file systems using the buffer cache through granular lock management by increasing the number of LRU locks upto the maximum number of cores. The proposed method was implemented in Linux 5.18.11, and the performance was measured on two types of CPUs, Intel Icelake Xeon and Intel Knights landing, with different characteristics, and it was found that a performance improvement of about two times can be obtained in both types of systems.

Reduction of the bacteria from fecal contaminated diapers through washing and heating (분변오염 기저귀에서 분리한 플라스틱과 펄프의 미생물 저감화)

  • Jung, You Min;Lee, Ho Sun;Kim, Kyung Shin;Oh, Han Seol;Joo, Tak;Kang, Sung Tae
    • Korean Journal of Microbiology
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    • v.51 no.2
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    • pp.126-132
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    • 2015
  • Three different methods (simple washing of plastic and pulp sample, washing after direct heating of the diapers, and the heating after washing of plastic and pulp sample) were carried out to decrease total coliforms and heterotrophic plate count (HPC) in the diaper's plastic and pulp. Plastic and pulp samples were obtained from diaper by treatment with 10% $CaCl_2$ and 4% sea salt water, dilution with 1,000 ml tap water, and draining by using sieves. Three times washing was the most appropriate for the reduction of microorganisms in plastic and pulp. By three times washing, the number of total coliforms in the plastic and pulp samples showed 92.8% and 99.8% of decrease, respectively, and the number of HPC showed 97.3% of decrease in the plastic and 98.5% of decrease in the pulp. The washing after direct heating of the fecal contaminated diapers was not effective because HPC in the plastic and pulp samples were still detected about 2-3 log CFU/g in the plastic and 1-2 log CFU/g in the pulp, respectively, even after heating at $60^{\circ}C$, $80^{\circ}C$, $100^{\circ}C$ for 12 h. Meanwhile, total coliforms and HPC were completely sterilized at $80^{\circ}C$ for 4 h by heating after washing of plastic and pulp samples, suggesting that this method was the most appropriate method for the reduction of microorganisms in plastic and pulp obtained from fecal contaminated diapers.

Camera Calibration Using the Fuzzy Model (퍼지 모델을 이용한 카메라 보정에 관한 연구)

  • 박민기
    • Journal of the Korean Institute of Intelligent Systems
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    • v.11 no.5
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    • pp.413-418
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    • 2001
  • In this paper, we propose a new camera calibration method which is based on a fuzzy model instead of a physical camera model of the conventional method. The camera calibration is to determine the correlation between camera image coordinate and real world coordinate. The camera calibration method using a fuzzy model can not estimate camera physical parameters which can be obtained in the conventional methods. However, the proposed method is very simple and efficient because it can determine the correlation between camera image coordinate and real world coordinate without any restriction, which is the objective of camera calibration. With calibration points acquired out of experiments, 3-D real world coordinate and 2-D image coordinate are estimated using the fuzzy modeling method and the results of the experiments demonstrate the validity of the proposed method.

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Development of Method for Deriving The Crisis Index of Industrial Complex (산업단지 위기지수 도출을 위한 방법론 개발)

  • Kim, Sungjin;Hong, Jong-yi;Kim, Han-Gook
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.10
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    • pp.250-258
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    • 2019
  • Due to the problems associated with the aging of industrial complexes, research on the decline of industrial complexes is being conducted. In the case of decline, it is necessary to not respond immediately, but with a crisis, it is necessary to minimize the impact on the industrial complex through preemptive responses to the external environment and internal changes. Therefore, it is necessary to develop a crisis index that can systematically predict and evaluate changes in the industrial complex. In this research, a method for extracting the crisis index of an industrial complex is developed. We derive performance measures for developing the crisis index, deriving the relative importance of performance measures based on the analytical hierarchy process. Because units of performance measurement are different, a normalization method is developed to sensitively reflect change. Based on the relative importance and normalized values of the performance measures, the crisis index of the industrial complex is developed and applied to a national industrial complex in order to verify its applicability.