• Title/Summary/Keyword: real time processing

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A study on game physics engine focused on real time physics (물리 엔진에 관한 고찰 : 실시간 물리 기술을 중심으로)

  • Ha, You-Jong;Park, Kyoung-Ju
    • Journal of Korea Game Society
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    • v.9 no.5
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    • pp.43-52
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    • 2009
  • This paper analyzes the four game physics engines in terms of real time techniques. Real time physics is the technology that simplifies the physics-based simulation to apply for the real time applications such as game. Our study includes two commercial physics engines, Havok's Physics SDK and NVIDIA's PhysX SDK, and two open source projects, Open Dynamics Engine and Bullet physics engine. As a result, most of them covers rigid body dynamics and some include either deformable body simulation or fluids simulation, or both. For real time simulation, they adopt the simplified numerical methods, the effective in collision detection/response, and also use the parallel processing hardwares, i.e., multi core CPU, Physics processing unit(PPU), or graphics processing unit(GPU).

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2D DWT Processor for Real-time Embedded Applications (실시간 내장형 응용을 위한 2차원 웨이브렛 변환 프로세서)

  • 정갑천;박성모
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.40 no.2
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    • pp.17-25
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    • 2003
  • In this paper, a processor architecture is proposed based on the state space implementation technique for real time processing of 2-D discrete wavelet transform(DWT). It conducts 2-D DWT operations in consideration of row and column direction simultaneously, thus can reduce latency due to memory access for storing intermediate results. It is a VLSI architecture suitable for real time processing. The proposed architecture includes only four multipliers and four adders, and NK-N internal memory storage, where K denotes the length of filter. It has a small hardware complexity. Therefore it is very suitable architecture for real time, embedded applications such as web camera server. Since the processor is easily extended to array structure, it can be applied to various image processing applications.

Real-time Ray-tracing Chip Architecture

  • Yoon, Hyung-Min;Lee, Byoung-Ok;Cheong, Cheol-Ho;Hur, Jin-Suk;Kim, Sang-Gon;Chung, Woo-Nam;Lee, Yong-Ho;Park, Woo-Chan
    • IEIE Transactions on Smart Processing and Computing
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    • v.4 no.2
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    • pp.65-70
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    • 2015
  • In this paper, we describe the world's first real-time ray-tracing chip architecture. Ray-tracing technology generates high-quality 3D graphics images better than current rasterization technology by providing four essential light effects: shadow, reflection, refraction and transmission. The real-time ray-tracing chip named RayChip includes a real-time ray-tracing graphics processing unit and an accelerating tree-building unit. An ARM Ltd. central processing unit (CPU) and other peripherals are also included to support all processes of 3D graphics applications. Using the accelerating tree-building unit named RayTree to minimize the CPU load, the chip uses a low-end CPU and decreases both silicon area and power consumption. The evaluation results with RayChip show appropriate performance to support real-time ray tracing in high-definition (HD) resolution, while the rendered images are scaled to full HD resolution. The chip also integrates the Linux operating system and the familiar OpenGL for Embedded Systems application programming interface for easy application development.

A STUDY ON THE CALL PROCESSING CAPACITY ESTIMATION OF NO.1A ESS BASED ON POSTCUTOVER MODEL (운용중인 No.1A전자교환기 호처리 용량 산출)

  • 김영선;김한호;김현우
    • Proceedings of the Korean Institute of Communication Sciences Conference
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    • 1987.04a
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    • pp.67-71
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    • 1987
  • No 1A ESS must operate in real time. Call processing capacity is the maximm number of originating plus incoming calls which the processor can process in some fixed interval of real time shile all service criteria have been satisfied. In this paper. we discuss the postcutower method of determining call processing capacity of No 1A ESS which can be applicable to an in service office and explain the usuage mithod of estimated call processing capacity of No 1A ESS in service

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Study on the Real Time Medical Image Processing (실시간 의학 영상 처리에 관한 연구)

  • 유선국;이건기
    • Journal of Biomedical Engineering Research
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    • v.8 no.2
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    • pp.118-122
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    • 1987
  • The medical image processing system is intended for a diverse set of users in the medical Imaging Parts. This system consists of a 640 Kbyte IBM-PC/AT with 30 Mbyte hard disk, special purpose image processor with video input devices and display monitor. Image may be recorded and processed in real time at sampling rate up to 10 MHz. This system provides a wide range of image enhancement processing facilities via a menu-driven software packages. These facilities include point by point processing, image averaging, convolution filter and subtraction.

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A Design and Implementation of Real-time Video frame data Processing control for Block Matching Algorithm (고속블럭정합 알고리즘을 위한 실시간 영상프레임 데이터 처리 제어 방법의 설계 및 구현)

  • 이강환;황호정
    • Proceedings of the IEEK Conference
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    • 2001.06b
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    • pp.373-376
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    • 2001
  • This paper has been studied a real-time video frame data processing control that used the linear systolic array for motion estimation. The proposed data control processing provides to the input data into the multiple processor array unit(MPAU) from search area and reference block data. The proposed data control architecture has based on two slice band for input data processing. And it has no required external control logic blocks for input data as like reference block or search area data.

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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.

A study on advanced network interrupt processing based on soft real-time (소프트 리얼타임 기반의 네트웍 인터럽트 처리에 관한 연구)

  • 김정섭;이대성;김기창
    • Proceedings of the Korean Information Science Society Conference
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    • 2002.10c
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    • pp.433-435
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    • 2002
  • 최근 real-time 시스템들이 많이 개발되어 상용화되고 있고, 여러 산업분야에 적용되고 있다. 한편 리눅스 운영체제의 사용이 증가하고 안정화됨에 따라, 이 시스템에 real-time 기능을 추가하기 위한 노력으로 여러 프로젝트가 진행 중에 있다. 이 가운데 시스템간에 네트웍 패킷을 송수신하고 이를 처리하는 과정에 대해 본 논문은 soft real-time을 적응하고자 한다. 기존 방식은 TOP HALF와 BOTTOM HALF로 인터럽트 처리과정을 나누어 BOTTOM HALF의 크기와 시스템 콜의 사용 빈도에 비례하여 종료시간을 예측할 수 없다. 이에 본 논문에서는 real-time 네트웍 패킷을 좀더 신속히 처리할 수 있도록 네트웍 인터럽트 처리 방안을 소개하고자 한다.

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Application of Real-time embedded linux as an operating system for intelligence robots (지능형 로봇 운영체제로서의 실시간 임베디드 리눅스 적용 방법)

  • Choi, Byoung-Wook;Park, Jeong-Ho;Yi, Soo-Yeong
    • Proceedings of the KIEE Conference
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    • 2007.04a
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    • pp.184-186
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    • 2007
  • Currently many sensors and processing data in a robot based on USN environments need to real-time features. In this paper, we examine recent research trends on real-time operating systems, especially on real-time embedded Linux, RTAI and Xenomai, for intelligent robots. Xenomai is a real-time development framework and have special feature supporting RTAI, VxWorks, pSOS+ etc. through the "skin". This research gives a guide to researcher in using real-time embedded Linux in the sense of architecture, supporting real-time mechanisms, kinds of real-time device driver, performances.

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Real-time Acquisition of Three Dimensional NMR Spectra by Non-uniform Sampling and Maximum Entropy Processing

  • Jee, Jun-Goo
    • Bulletin of the Korean Chemical Society
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    • v.29 no.10
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    • pp.2017-2022
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    • 2008
  • Of the experiments to shorten NMR measuring time by sparse sampling, non-uniform sampling (NUS) is advantageous. NUS miminizes systematic errors which arise due to the lack of samplings by randomization. In this study, I report the real-time acquisition of 3D NMR data using NUS and maximum-entropy (MaxEnt) data processing. The real-time acquisition combined with NUS can reduce NMR measuring time much more. Compared with multidimensional decomposition (MDD) method, which was originally suggested by Jaravine and Orekhov (JACS 2006, 13421-13426), MaxEnt is faster at least several times and more suitable for the realtime acquisition. The designed sampling schedule of current study makes all the spectra during acquisition have the comparable resulting resolutions by MaxEnt. Therefore, one can judge the quality of spectra easily by examining the intensities of peaks. I report two cases of 3D experiments as examples with the simulated subdataset from experimental data. In both cases, the spectra having good qualitie for data analysis could be obtained only with 3% of original data. Its corresponding NMR measuring time was 8 minutes for 3D HNCO of ubiquitin.