• Title/Summary/Keyword: HPC

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Evaluation Physical Characteristics of Coating Materials for Forage Seed Coating by Coating Index (피복지수에 의한 목초종자 피복제의 물리적 특성 평가)

  • 이성운;허삼남;김택림
    • Journal of The Korean Society of Grassland and Forage Science
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    • v.24 no.2
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    • pp.155-162
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    • 2004
  • Different adhesives(CF-clear, arabic gum, cethylmethyl cellulose, polyvinyl alcohol, polyvinyl pyrrolidone, hydroxy propyl cellulose, methyl cellulose) and particulate matters(bentonite, kaolin, calcium carbonate, peatmoss, talcum, vermiculite, zeolite, calcium hydroxide, plaster, calcium phosphate, vermiculite + calcium carbonate, vermiculite + kaolin, vermiculite + talcum) were evaluated by coating index method. According to the weight of single coated seeds, CF-clear and polyvinyl alcohol appeared to be the best coating adhesives for red clover and tall fescue seeds. Both vermiculite and vermiculite + talc(l : 1) for red clover, and vermiculite + talc(l : 1) for tall fescue appeared to be the best particulate matter(P < 0.01). Percent friability showed excellent results for the arabic gum, CF-clear, and polyvinyl alcohol when compared to others(p < 0.01). The coating index showed high with vermiculite and vermiculite + talc(l : 1) in coating red clover seed, and talc, vermiculite, and vermiculite + talc showed good coating index in coating tall fescue seed.

Evaluation of Time-Dependent Chloride Resistance in HPC Containing Fly Ash Cured for 1 Year (1년 양생 조건의 Fly Ash를 혼입한 고성능 콘크리트의 시간의존적 염해저항성 평가)

  • Yoon, Yong-Sik;Kwon, Seung-Jun
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.22 no.4
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    • pp.52-59
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    • 2018
  • To control chloride attacks which is a representative deterioration in RC(Reinforced Concrete) structures, many studies have been conducted. Above all, a method using mineral admixture was known to be effective for corrosion protection. In this study, durability test about chloride attacks was carried out for concrete specimens containing FA(Fly Ash)-representative concrete mineral admixture and OPC concrete specimens considering 3 different levels of W/B(Water to Binder). Accelerated chloride diffusion coefficient tests referred to Tang's method, total passed charge tests referred to ASTM C 1202, and compressive strength tests based on KS F 2405 were performed at each target age day. Also, based on previous studies of 28 days, time-parameter which is a key parameter for diffusion behavior is evaluated and its relations with compressive strength at the age of 365 days is evaluated. After the age of 49 days, chloride resistance of FA concrete is much improved than that of OPC concrete, which arose out of stable hydrates due to pozzolan reaction of fly ash. Time-parameter of FA concrete is evaluated to be about 1.5 times larger than that of OPC concrete. Also, time-parameter of FA concrete has a linearly decreasing relation while that of OPC concrete has a linearly increasing relation with compressive strength development.

A Technique for Provisioning Virtual Clusters in Real-time and Improving I/O Performance on Computational-Science Simulation Environments (계산과학 시뮬레이션을 위한 실시간 가상 클러스터 생성 및 I/O 성능 향상 기법)

  • Choi, Chanho;Lee, Jongsuk Ruth;Kim, Hangi;Jin, DuSeok;Yu, Jung-lok
    • KIISE Transactions on Computing Practices
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    • v.21 no.1
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    • pp.13-18
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    • 2015
  • Computational science simulations have been used to enable discovery in a broad spectrum of application areas, these simulations show irregular demanding characteristics of computing resources from time to time. The adoption of virtualized high performance cloud, rather than CPU-centric computing platform (such as supercomputers), is gaining interest of interests mainly due to its ease-of-use, multi-tenancy and flexibility. Basically, provisioning a virtual cluster, which consists of a lot of virtual machines, in a real-time has a critical impact on the successful deployment of the virtualized HPC clouds for computational science simulations. However, the cost of concurrently creating many virtual machines in constructing a virtual cluster can be as much as two orders of magnitude worse than expected. One of the main factors in this bottleneck is the time spent to create the virtual images for the virtual machines. In this paper, we propose a novel technique to minimize the creation time of virtual machine images and improve I/O performance of the provisioned virtual clusters. We also confirm that our proposed technique outperforms the conventional ones using various sets of experiments.

Autogenous Shrinkage of High-Performance Concrete Containing Mineral Admixture (광물질 혼화재를 함유한 고성능 콘크리트의 자기수축)

  • Lee, Chang-Soo;Park, Jong-Hyok;Kim, Yong-Hyok;Kim, Young-Ook
    • Journal of the Korean Society of Hazard Mitigation
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    • v.7 no.3
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    • pp.19-31
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    • 2007
  • Humidity and strain were estimated for understanding the relation between humidity change by self-desiccation and shrinkage in high-performance concrete with low water binder ratio and containing fly ash and blast furnace slag. Internal humidity change and shrinkage strain were about 10%, 10%, 7%, 11%, 11% and $320{\times}10^{-6}$, $270{\times}10^{-6}$, $231{\times}10^{-6}$, $371{\times}10^{-6}$, $350{\times}10^{-6}$ respectively on OPC30, O30F10, O30F20, O30G40, O30G50 and from the results, fly ash made humidity change and strain decrease but slag increase comparing with ordinary portland cement. Considering only relation internal humidity and shrinkage by self-desiccation, humidity change and shrinkage represented the strong linear relation regardless of mineral admixture. For specifying the relation on internal humidity change and autogenous shrinkage strain, shrinkage model was established which is driven by capillary pressure in pore water and surface energy in hydrates on the assumption of a single network and extended meniscus in pore system of concrete. This model and experimental results had a similar tendency so it would be concluded that the internal humidity change by self-desiccation in HPC originated in small pores less than 20nm, therefore controlling plan on autogenous shrinkage might be focused on surface tension of water and degree of saturation in small pore.

A Study on the Hydration Reaction Model of Expansive Additive of Ettringite-Gypsum Type (에트링가이트-석탄 복합계 팽장재의 수화반응 모델에 관한 연구)

  • Park Sun Gyu;Takahumi Noguchi;Kim Moo-Han
    • Journal of the Korea Concrete Institute
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    • v.17 no.4 s.88
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    • pp.581-586
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    • 2005
  • High-performance concrete (HPC), which is particularly sensitive to self-desiccation, is required to be durable even in severe environmental conditions, i.e. costal area, cold district, etc. However, in recent years, some attention was particularly given to cracking sensitivity of high performance concrete at early age. It has been argued and demonstrated experimentally that such concrete undergoes autogenous shrinkage due to self-desiccation at early age under restrained condition, nd, as a result, internal tensile stress may develop, leading to micro cracking and macro cracking. This shrinkage-introduced crack produces a major serviceability problem for concrete structures. One possible method to reduce cracking due to autogenous shrinkage is the addition of expansive additive. Tests conducted by many researches have shown the beneficial effects of addition of expansive additive for reducing the risk of autogenous shrinkage-introduced cracking. However, the research on hydration model of expansion additive has been hardly researched up to now. This paper presents a study of the hydration model of Ettringite-Gypsum type expansive additive. As a result of comparing forecast values with experiment value, proposed model is shown to expressible of hydration of expansive additive.

Relation between Autogenous Shrinkage of Concrete and Relative Humidity, Capillary Pressure, Surface Energy in Pore (공극 내 상대습도, 모세관압력, 표면에너지 변화에 따른 콘크리트 자기수축)

  • Lee, Chang-Soo;Park, Jong-Hyok
    • Journal of the Korea Concrete Institute
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    • v.20 no.2
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    • pp.131-138
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    • 2008
  • Humidity and strain were estimated for understanding the relation between humidity change by self-desiccation and shrinkage in high-performance concrete with low water binder ratio. Internal humidity change and shrinkage strain were about 10%, 4% and $320\times10^{-6}$, $120\times10^{-6}$ respectively on concrete with water binder ratio 0.3, 0.4 and from the results, humidity change and shrinkage represented the strong linear relation regardless of mixture. For specifying the relation on internal humidity change and autogenous shrinkage strain, shrinkage model was established which is driven by capillary pressure in pore water and surface energy in hydrates on the assumption of a single network and extended meniscus in pore system of concrete. This model and experimental results had a similar tendency so it would be concluded that the internal humidity change by self-desiccation in HPC originated in small pores less than 20 nm, therefore controlling plan on autogenous shrinkage might be focused on surface tension of water and degree of saturation in small pore.

Characteristics of Drying and Autogeneous Shrinkage in HPC with 65% Replacement of GGBFS (고로슬래그 미분말을 65% 치환한 고성능 콘크리트의 자기 및 건조수축 특성)

  • Jang, Seung-Yup;Ryu, Hwa-Sung;Yoon, Yong-Sik;Kwon, Seung-Jun
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.21 no.3
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    • pp.54-59
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    • 2017
  • GGBFS (Ground Granulated Blast Furnace Slag) is a byproduct with engineering advantages and HVSC (High Volume Slag Concrete) is widely attempted due to active utilization and reduction of eco-load. In the present work, characteristics of drying shrinkage and early-aged behavior are evaluated for the concrete with 65% replacement ratio of GGBFS and 50MPa of design strength. For the work, 3 different mix conditions are considered and several tests including slump flow, compressive strength, drying and autogeneous shrinkage are performed. From the test, OPC 100 mixture without replacement shows higher strength development before 7 days, however the strength reduction in concrete replaced with GGBFS is not significant due to sufficient free water for cement hydration. OPC 100 mixture also shows significant drying shrinkage due to a great autogeneous shrinkage before 3 days. In the concrete with GGBFS replacement, the drying shrinkage behavior is improved due to relatively small deformation by autogeneous shrinkage. The mixture (OPT BS 65) with lower w/b ratio (0.27) and unit content of water ($160kg/m^3$) shows more improved shrinkage behavior than BS 65 mixture which has simple replacement of GGBFS with 0.30 of w/b and $165kg/m^3$ of water unit content.

Direct Pass-Through based GPU Virtualization for Biologic Applications (바이오 응용을 위한 직접 통로 기반의 GPU 가상화)

  • Choi, Dong Hoon;Jo, Heeseung;Lee, Myungho
    • KIPS Transactions on Software and Data Engineering
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    • v.2 no.2
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    • pp.113-118
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    • 2013
  • The current GPU virtualization techniques incur large overheads when executing application programs mainly due to the fine-grain time-sharing scheduling of the GPU among multiple Virtual Machines (VMs). Besides, the current techniques lack of portability, because they include the APIs for the GPU computations in the VM monitor. In this paper, we propose a low overhead and high performance GPU virtualization approach on a heterogeneous HPC system based on the open-source Xen. Our proposed techniques are tailored to the bio applications. In our virtualization framework, we allow a VM to solely occupy a GPU once the VM is assigned a GPU instead of relying on the time-sharing the GPU. This improves the performance of the applications and the utilization of the GPUs. Our techniques also allow a direct pass-through to the GPU by using the IOMMU virtualization features embedded in the hardware for the high portability. Experimental studies using microbiology genome analysis applications show that our proposed techniques based on the direct pass-through significantly reduce the overheads compared with the previous Domain0 based approaches. Furthermore, our approach closely matches the performance for the applications to the bare machine or rather improves the performance.

Development of Artificial Intelligence Model for Predicting Citrus Sugar Content based on Meteorological Data (기상 데이터 기반 감귤 당도 예측 인공지능 모델 개발)

  • Seo, Dongmin
    • The Journal of the Korea Contents Association
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    • v.21 no.6
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    • pp.35-43
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    • 2021
  • Citrus quality is generally determined by its sugar content and acidity. In particular, sugar content is a very important factor because it determines the taste of citrus. Currently, the most commonly used method of measuring citrus sugar content in farms is a portable juiced sugar meter and a non-destructive sugar meter. This method can be easily measured by individuals, but the accuracy of the sugar content is inferior to that of the citrus NongHyup official machine. In particular, there is an error difference of 0.5 Brix or more, which is still insufficient for use in the field. Therefore, in this paper, we propose an AI model that predicts the citrus sugar content of unmeasured days within the error range of 0.5 Brix or less based on the previously collected citrus sugar content and meteorological data (average temperature, humidity, rainfall, solar radiation, and average wind speed). In addition, it was confirmed that the prediction model proposed through performance evaluation had an mean absolute error of 0.1154 for Seongsan area and 0.1983 for the Hawon area in Jeju Island. Lastly, the proposed model supports an error difference of less than 0.5 Brix and is a technology that supports predictive measurement, so it is expected that its usability will be highly progressive.

Real-Time GPU Task Monitoring and Node List Management Techniques for Container Deployment in a Cluster-Based Container Environment (클러스터 기반 컨테이너 환경에서 실시간 GPU 작업 모니터링 및 컨테이너 배치를 위한 노드 리스트 관리기법)

  • Jihun, Kang;Joon-Min, Gil
    • KIPS Transactions on Computer and Communication Systems
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    • v.11 no.11
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    • pp.381-394
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    • 2022
  • Recently, due to the personalization and customization of data, Internet-based services have increased requirements for real-time processing, such as real-time AI inference and data analysis, which must be handled immediately according to the user's situation or requirement. Real-time tasks have a set deadline from the start of each task to the return of the results, and the guarantee of the deadline is directly linked to the quality of the services. However, traditional container systems are limited in operating real-time tasks because they do not provide the ability to allocate and manage deadlines for tasks executed in containers. In addition, tasks such as AI inference and data analysis basically utilize graphical processing units (GPU), which typically have performance impacts on each other because performance isolation is not provided between containers. And the resource usage of the node alone cannot determine the deadline guarantee rate of each container or whether to deploy a new real-time container. In this paper, we propose a monitoring technique for tracking and managing the execution status of deadlines and real-time GPU tasks in containers to support real-time processing of GPU tasks running on containers, and a node list management technique for container placement on appropriate nodes to ensure deadlines. Furthermore, we demonstrate from experiments that the proposed technique has a very small impact on the system.