• 제목/요약/키워드: Spatial memory

검색결과 460건 처리시간 0.023초

Enhancing GPU Performance by Efficient Hardware-Based and Hybrid L1 Data Cache Bypassing

  • Huangfu, Yijie;Zhang, Wei
    • Journal of Computing Science and Engineering
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    • 제11권2호
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    • pp.69-77
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    • 2017
  • Recent GPUs have adopted cache memory to benefit general-purpose GPU (GPGPU) programs. However, unlike CPU programs, GPGPU programs typically have considerably less temporal/spatial locality. Moreover, the L1 data cache is used by many threads that access a data size typically considerably larger than the L1 cache, making it critical to bypass L1 data cache intelligently to enhance GPU cache performance. In this paper, we examine GPU cache access behavior and propose a simple hardware-based GPU cache bypassing method that can be applied to GPU applications without recompiling programs. Moreover, we introduce a hybrid method that integrates static profiling information and hardware-based bypassing to further enhance performance. Our experimental results reveal that hardware-based cache bypassing can boost performance for most benchmarks, and the hybrid method can achieve performance comparable to state-of-the-art compiler-based bypassing with considerably less profiling cost.

자유공간 광학과 출력 버퍼 메모리를 이용한 광 Asynchronous Transfer Mode(ATM) 교환방식 (An Optical Asynchronous Transfer Mode(ATM) Switching System Using Free Space Optics and an Output Buffer Memory)

  • 지윤규;이상신
    • 한국통신학회논문지
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    • 제16권4호
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    • pp.326-334
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    • 1991
  • 자유공간 광학과 출력 버퍼 메모리를 이용한 Optical Asynchronous Transfer Mode(ATM) 스위칭 시스템을 제안하고, Huygens-Fresnel 원리와 렌즈 변환을 이용하여 이 스위칭 구조에 있는 분배 시스템을 분석했다. 단색관 조명의 경우, 입력 분포의푸리에 변환과 유사한 패턴이 출력평면에서 관측되었다. 부분적으로 코히런트(coherent)한 유사 단색광으로 시스템을 조명할 \ulcorner\ulcorner는, 출력평면에서 단색광 때보다 공간적으로 넓어진 빛의 세기 분포가 나타났다. 100fs 정도의 코히런트(coherent)한 단펄스는 심한 공간적 확장 없이 분배기를 전파할 수 있음을 알 수 있었다.

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Implementation of 2D Active Shape Model-based Segmentation on Hippocampus

  • Izmantoko, Yonny S.;Yoon, Ho-Sung;Adiya, Enkhbolor;Mun, Chi-Woong;Huh, Young;Choi, Heung-Kook
    • 한국멀티미디어학회논문지
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    • 제17권1호
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    • pp.1-7
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    • 2014
  • Hippocampus is an important part of brain which is related with early memory storage and spatial navigation. By observing the anatomy of hippocampus, some brain diseases effecting human memory (e.g. Alzheimer, schizophrenia, etc.) can be diagnosed and predicted earlier. The diagnosis process is highly related with hippocampus segmentation. In this paper, hippocampus segmentation using Active Shape Model, which not only works based on image intensity, but also by using prior knowledge of hippocampus shape and intensity from the training images, is proposed. The results show that ASM is applicable in segmenting hippocampus from whole brain MR image. It also shows that adding more images in the training set results in better accuracy of hippocampus segmentation.

View-Dependent Adaptive Animation of Liquids

  • Kim, Jang-Hee;Ihm, In-Sung;Cha, Deuk-Hyun
    • ETRI Journal
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    • 제28권6호
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    • pp.697-708
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    • 2006
  • Various adaptive mesh refinement techniques are often employed in numerical simulations for increasing spatial and temporal resolution beyond the limits imposed by available CPU time and memory space. Recently, an octree-based adaptive mesh structure was successfully used in fluid animation to place more grid cells efficiently in visually interesting regions of fluids. In an attempt to optimize the use of computational resources further in fluid animation, this paper extends this adaptive technique by modifying the mesh refinement scheme so that the camera's viewing properties are dynamically exploited during the simulation. Based on a simple adaptive mesh structure, we show that the new meshing strategy can save a substantial amount of computation time and memory space by using a view-dependent adaptive approach. The experimental results reveal that the proposed technique provides a good compromise between the computational effort and the simulation's fidelity, and may be used quite effectively in 3D animation production.

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Fragile X Mental Retardation Protein in Learning-Related Synaptic Plasticity

  • Mercaldo, Valentina;Descalzi, Giannina;Zhuo, Min
    • Molecules and Cells
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    • 제28권6호
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    • pp.501-507
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    • 2009
  • Fragile X syndrome (FXS) is caused by a lack of the fragile X mental retardation protein (FMRP) due to silencing of the Fmr1 gene. As an RNA binding protein, FMRP is thought to contribute to synaptic plasticity by regulating plasticity-related protein synthesis and other signaling pathways. Previous studies have mostly focused on the roles of FMRP within the hippocampus - a key structure for spatial memory. However, recent studies indicate that FMRP may have a more general contribution to brain functions, including synaptic plasticity and modulation within the prefrontal cortex. In this brief review, we will focus on recent studies reported in the prefrontal cortex, including the anterior cingulate cortex (ACC). We hypothesize that alterations in ACC-related plasticity and synaptic modulation may contribute to various forms of cognitive deficits associated with FXS.

A Low-Power ECC Check Bit Generator Implementation in DRAMs

  • Cha, Sang-Uhn;Lee, Yun-Sang;Yoon, Hong-Il
    • JSTS:Journal of Semiconductor Technology and Science
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    • 제6권4호
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    • pp.252-256
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    • 2006
  • A low-power ECC check bit generator is presented with competent DRAM implementation with minimal speed loss, area overhead and power consumption. The ECC used in the proposed scheme is a variant form of the minimum weight column code. The spatial and temporal correlations of input data are analyzed and the input paths of the check bit generator are ordered for the on-line adaptable power savings up to 24.4% in the benchmarked cases. The chip size overhead is estimated to be under 0.3% for a 80nm 1Gb DRAM implementation.

Adult hippocampal neurogenesis and related neurotrophic factors

  • Lee, Eu-Gene;Son, Hyeon
    • BMB Reports
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    • 제42권5호
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    • pp.239-244
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    • 2009
  • New neurons are continually generated in the subgranular zone of the dentate gyrus and in the subventricular zone of the lateral ventricles of the adult brain. These neurons proliferate, differentiate, and become integrated into neuronal circuits, but how they are involved in brain function remains unknown. A deficit of adult hippocampal neurogenesis leads to defective spatial learning and memory, and the hippocampi in neuropsychiatric diseases show altered neurogenic patterns. Adult hippocampal neurogenesis is not only affected by external stimuli but also regulated by internal growth factors including BDNF, VEGF and IGF-1. These factors are implicated in a broad spectrum of pathophysiological changes in the human brain. Elucidation of the roles of such neurotropic factors should provide insight into how adult hippocampal neurogenesis is related to psychiatric disease and synaptic plasticity.

수 연산 지도에서의 웨일부인의 언덕도 (Mrs Weill's Hill)의 도입 (Effects of the Mrs. Weill's Hill in Addition and Subtraction)

  • 이의원
    • 대한수학교육학회지:학교수학
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    • 제2권2호
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    • pp.489-508
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    • 2000
  • With the increased use of computational technology, many educators question about spending large amount of class time for dealing with computational algorithms in elementary school math classroom at the expense of more holistic aspects of mathematics such as number sense, spatial sense, problem solving and data management. This paper introduce the new method for learning addition and subtraction so called ‘Mrs. Weill’s Hill’, which is believed as a suitable remedial method for children with mathematical learning disabilities, with perceptual problems, or with limited working memory capacities. This method provides children with external memory strategies by allowing them to solve the addition and subtraction problems in a stage by stage fashion with as many steps as they require. It also gives the child greater flexibility in the solution process and thus helps reduce anxiety.

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Real-time Object Recognition with Pose Initialization for Large-scale Standalone Mobile Augmented Reality

  • Lee, Suwon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권10호
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    • pp.4098-4116
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    • 2020
  • Mobile devices such as smartphones are very attractive targets for augmented reality (AR) services, but their limited resources make it difficult to increase the number of objects to be recognized. When the recognition process is scaled to a large number of objects, it typically requires significant computation time and memory. Therefore, most large-scale mobile AR systems rely on a server to outsource recognition process to a high-performance PC, but this limits the scenarios available in the AR services. As a part of realizing large-scale standalone mobile AR, this paper presents a solution to the problem of accuracy, memory, and speed for large-scale object recognition. To this end, we design our own basic feature and realize spatial locality, selective feature extraction, rough pose estimation, and selective feature matching. Experiments are performed to verify the appropriateness of the proposed method for realizing large-scale standalone mobile AR in terms of efficiency and accuracy.

체적 홀로그래픽 메모리에서의 효율적인 인터리빙 기법 (Efficient Interleaving Scheme of Volume Holographic Memory)

  • Seunghoon Han;Kim, Minseung;Byungchoon Yang;Lee, Byoungho
    • 한국광학회:학술대회논문집
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    • 한국광학회 2003년도 제14회 정기총회 및 03년 동계학술발표회
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    • pp.72-73
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    • 2003
  • In volume holographic memory (VHM), two-dimensional data array (i.e. data page) is used for the recording and the retrieving process with the aid of spatial light modulator (SLM) and CCD camera. Due to this two-dimensional parallel data processing, burst errors in this system also have two-dimensional characteristics in a data page domain. In this paper, we present a channel model of the burst noise and burst error for the VHM system using disk type recording media. (omitted)

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