• 제목/요약/키워드: Kernel Size

검색결과 233건 처리시간 0.029초

연속마이크로렌즈 200μm 적용 7인치 LCD-BLU 금형개발 (A Study on the Fabrication Method of Mold for 7 inch LCD-BLU by continuous microlens 200μm)

  • 김종선;고영배;민인기;유재원;허영무;윤경환;황철진
    • 소성∙가공
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    • 제16권1호
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    • pp.42-47
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    • 2007
  • LCD-BLU is one of kernel parts of LCD and it consists of several optical sheets: LGP, light source and mold frame. The LGP of LCD-BLU is usually manufactured by etching process and forming numerous dots with $50\sim300{\mu}m$ diameter on the surface. But the surface of the etched dots of LGP is very rough due to the characteristics of the etching process during the mold fabrication, so that its light loss is high along with the dispersion of light into the surface. Accordingly, there is a limit in raising the luminance of LCD-BLU. In order to overcome the limit of current etched dot patterned LGP, optical pattern with continuous microlens was designed using optical simulation CAE. Also, a mold with continuous micro-lens was fabricated by UV-LiGA reflow process and applied to 7 inch size of navigator LCD-BLU in the present study.

인텔 MKL 라이브러리를 이용한 Xeon Phi Coprocessor 벤치마크 (Benchmarking the Intel Xeon Phi Coprocessor with Intel MKL library)

  • 박영수;박구락;김진묵
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2014년도 제50차 하계학술대회논문집 22권2호
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    • pp.1-4
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    • 2014
  • 인텔 Many Integrated Core (MIC) 아키텍쳐는 61개의 코어가 하나의 칩에 결합되어 있다. Xeon Phi 로 명명된 인텔 MIC는 인텔 E5 Xeon CPU 보다 2배의 single precision GFLOPs 성능을 제공한다. 인텔 MIC 는 수치연산에 최적화 되어 있는 아키텍쳐이다. 우리는 Xeon Phi 7120P를 가지고 벤치마킹을 하였고 클락스피드 1.238GHz, 61Core 이고 한 개의 코어당 4쓰레드를 사용하며 이론상 최고 성능은 Peak Double Precision(GFLOP)는 약 2-TFlops 이다. 이에 우리는 인텔 X86 아키텍쳐에서 openMP 와 인텔 MKL(Math kernel library) 라이브러리를 이용한 병렬프로그램을 작성하여 쓰레드 수를 증가 시키면서 인텔 Xeon Phi 와 E5 Xeon CPU에서 single precision 성능을 벤치마킹 하여, Xeon Phi 와 Xeon E5 의 이론적인 성능을 비교해 보고자 한다. 또한 openMP와 인텔 MKL라이브러리를 사용한 병렬환경에서 CPU의 성능 지표인 클락스피드와 코어수 외에 Vector unit size 의 크기가 성능에 어떤 영향을 미치는지 살펴보았다.

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임베디드 리눅스 보드를 이용한 홈 네트워킹 시스템 구현에 관한 연구 (A Study On The Development Of a Home Networking System Using An Embedded Linux Board)

  • 이헌주;이종수;최경삼
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2003년도 학술회의 논문집 정보 및 제어부문 B
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    • pp.592-595
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    • 2003
  • In this paper, we have designed a Home Networking System using an embedded linux board. The system based on the World-Wide-Web is composed of three parts - a Server, a Client and a Simulator. The Home Networking Server is built in an embedded board using an embedded linux kernel. A web-server and Home Networking Server Seryice Demon programming with a Jaya-Language is included in the board. Clients can connect to the server board using a web-browser in the desktop computer, PDA or any other machines which include a web-browser. For this purpose, we made the client program using a Java-Applet. So, the clients who connect to the server for the control of the applications, download the class-file and execute the client-program in the web-browser. So, the clients don't need any other programs to control the applications from a remote place. The size of server board is very small (86.3$\times$74mm), which makes it very useful not only for the Home-Networking-System but also in many other fields, e.g., embedded robot control system, etc. Using an embedded board instead of a desktop computer is good for a simple network environment and it occupies only a small space to make the system.

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플래시 메모리 기반의 파일 저장 장치에 대한 성능분석 (Performance Evaluation of Flash Memory-Based File Storages: NAND vs. NOR)

  • 성민영
    • 한국산학기술학회논문지
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    • 제9권3호
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    • pp.710-716
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    • 2008
  • 본 논문은 플래시 메모리를 이용한 파일 저장 장치의 성능 분석을 다룬다. 특히 플래시 메모리의 대표적인 형태인 낸드(NAND) 플래시와 노어(NOR) 플래시에 대해 비교 분석한다. 성능 평가를 위해 마이크로소프트 PocketPC 기반의 실험 플랫폼에 두 플래시 타입을 위한 파일 저장 시스템을 각각 구성하였다. 이렇게 구성된 플랫폼을 이용하여, 버퍼 크기, 사용 용량, 커널 수준 쓰기 캐싱 등의 변수에 따른 입출력 처리량을 측정/비교하였다. 실험 결과에 따르면, 낸드 플래시 기반 저장 장치의 성능이 쓰기/읽기 처리량 관점에서 각각 4.8배, 5.7배까지 더 높은 것으로 나타났다. 본 실험 결과는 두 가지 플래시 메모리 저장 방식의 상대적인 장단점을 잘 보여주고 있으며 플래시 메모리 기반의 파일 저장장치의 설계에 유용하게 활용될 수 있다.

A study of fracture of a fibrous composite

  • Mirsalimov, Vagif M.;Hasanov, Shahin H.
    • Structural Engineering and Mechanics
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    • 제73권5호
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    • pp.585-598
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    • 2020
  • We develop design model within which nucleation and propagation of crack in a fibrous composite is described. It is assumed that under loading, crack initiation and fracture of material happens in the composite. The problem of equilibrium of a composite with embryonic crack is reduced to the solution of the system of nonlinear singular integral equations with the Cauchy type kernel. Normal and tangential forces in the crack nucleation zone are determined from the solution of this system of equations. The crack appearance conditions in the composite are formed with regard to criterion of ultimate stretching of the material's bonds. We study the case when near the fiber, the binder has several arbitrary arranged rectilinear prefracture zones and a crack with interfacial bonds. The proposed computational model allows one to obtain the size and location of the zones of damages (prefracture zones) depending on geometric and mechanical characteristics of the fibrous composite and applied external load. Based on the suggested design model that takes into account the existence of damages (the zones of weakened interparticle bonds of the material) and cracks with end zones in the composite, we worked out a method for calculating the parameters of the composite, at which crack nucleation and crack growth occurs.

유니커널의 동향과 매니코어 시스템에 적용 (Trends in Unikernel and Its Application to Manycore Systems)

  • 차승준;전승협;람 닉;김진미;정연정;정성인
    • 전자통신동향분석
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    • 제33권6호
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    • pp.129-138
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    • 2018
  • As recent applications are requiring more CPUs for their performance, manycore systems have evolved. Since existing operating systems do not provide performance scalability in manycore systems, Azalea, a multi-kernel based system, has been developed for supporting performance scalability. Unikernel is a new operating system technology starting with the concept of a library OS. Applying unikernel to Azalea enables an improvement in performance. In this paper, we first analyze the current technology trends of unikernel, and then discuss the applications and effects of unikernel to Azalea. Azalea-unikernel was built in a single image consisting of libOS, runtime libraries, and an application, and executed with the desired number of cores and memory size in bare-metal. In particular, it supports source and binary compatibility such that existing linux binaries can be rebuilt and executed in Azalea-unikernel, and already built binaries can be run immediately without modification with a better performance. It not only achieves a performance enhancement, it is also a more secure OS for manycore systems.

FFT 적용을 통한 Convolution 연산속도 향상에 관한 연구 (A Study on the Optimization of Convolution Operation Speed through FFT Algorithm)

  • 임수창;김종찬
    • 한국멀티미디어학회논문지
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    • 제24권11호
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    • pp.1552-1559
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    • 2021
  • Convolution neural networks (CNNs) show notable performance in image processing and are used as representative core models. CNNs extract and learn features from large amounts of train dataset. In general, it has a structure in which a convolution layer and a fully connected layer are stacked. The core of CNN is the convolution layer. The size of the kernel used for feature extraction and the number that affect the depth of the feature map determine the amount of weight parameters of the CNN that can be learned. These parameters are the main causes of increasing the computational complexity and memory usage of the entire neural network. The most computationally expensive components in CNNs are fully connected and spatial convolution computations. In this paper, we propose a Fourier Convolution Neural Network that performs the operation of the convolution layer in the Fourier domain. We work on modifying and improving the amount of computation by applying the fast fourier transform method. Using the MNIST dataset, the performance was similar to that of the general CNN in terms of accuracy. In terms of operation speed, 7.2% faster operation speed was achieved. An average of 19% faster speed was achieved in experiments using 1024x1024 images and various sizes of kernels.

Numerical investigation of turbulent lid-driven flow using weakly compressible smoothed particle hydrodynamics CFD code with standard and dynamic LES models

  • Tae Soo Choi;Eung Soo Kim
    • Nuclear Engineering and Technology
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    • 제55권9호
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    • pp.3367-3382
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    • 2023
  • Smoothed Particle Hydrodynamics (SPH) is a Lagrangian computational fluid dynamics method that has been widely used in the analysis of physical phenomena characterized by large deformation or multi-phase flow analysis, including free surface. Despite the recent implementation of eddy-viscosity models in SPH methodology, sophisticated turbulent analysis using Lagrangian methodology has been limited due to the lack of computational performance and numerical consistency. In this study, we implement the standard and dynamic Smagorinsky model and dynamic Vreman model as sub-particle scale models based on a weakly compressible SPH solver. The large eddy simulation method is numerically identical to the spatial discretization method of smoothed particle dynamics, enabling the intuitive implementation of the turbulence model. Furthermore, there is no additional filtering process required for physical variables since the sub-grid scale filtering is inherently processed in the kernel interpolation. We simulate lid-driven flow under transition and turbulent conditions as a benchmark. The simulation results show that the dynamic Vreman model produces consistent results with experimental and numerical research regarding Reynolds averaged physical quantities and flow structure. Spectral analysis also confirms that it is possible to analyze turbulent eddies with a smaller length scale using the dynamic Vreman model with the same particle size.

CNN기반 굴삭기용 부하 측정 시스템 구현을 위한 연구 (A Study of Weighing System to Apply into Hydraulic Excavator with CNN)

  • 정황훈;신영일;이진호;조기용
    • 드라이브 ㆍ 컨트롤
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    • 제20권4호
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    • pp.133-139
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    • 2023
  • A weighing system calculates the bucket's excavation amount of an excavator. Usually, the excavation amount is computed by the excavator's motion equations with sensing data. But these motion equations have computing errors that are induced by assumptions to the linear systems and identification of the equation's parameters. To reduce computing errors, some commercial weighing system incorporates particular motion into the excavation process. This study introduces a linear regression model on an artificial neural network that has fewer predicted errors and doesn't need a particular pose during an excavation. Time serial data were gathered from a 30tons excavator's loading test. Then these data were preprocessed to be adjusted by MPL (Multi Layer Perceptron) or CNN (Convolutional Neural Network) based linear regression models. Each model was trained by changing hyperparameter such as layer or node numbers, drop-out rate, and kernel size. Finally ID-CNN-based linear regression model was selected.

임베디드 X-시스템 개발 (Development of Embedded X-System)

  • 정갑중
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2008년도 춘계종합학술대회 A
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    • pp.641-644
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    • 2008
  • 본 논문은 지능형 임베디드 시스템의 GUI 구현에 관한 논문이다. 지능형 임베디드 시스템의 GUI 구현을 위해 사용된 X 윈도우 시스템과 그래픽 라이브러리의 구조 및 동작에 대해 논하고 지능형 임베디드 시스템의 X-시스템에 필요한 기능 및 구성 요소에 대해 조사 및 분석을 통한 리눅스 커널과의 동작 및 기능 검증 구현을 보인다. 저성능 및 저전력이며 고용량 메모리를 탑재한 임베디드 시스템의 하나인 지능형 임베디드 X-시스템에서 적용 가능하도록 요구되는 기능과 동작을 구현하고 소형 운영체제를 위한 GUI 개발에 적용 가능하다. 이러한 소형 운영체제 및 이를 위한 X-시스템은 지능형 개인정보서비스를 위한 임베디드 플랫폼 시스템으로써 개인용 정보의 지능형 서비스 기능을 지원하고 새로운 소형 운영체제를 탑재한 시스템의 개발에 적용 가능하다. 본 논문에서는 이러한 지능형 임베디드 X-시스템과 응용 소프트웨어 및 서비스 개발을 위한 GUI환경 구현에 대하여 기술한다.

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