• Title/Summary/Keyword: 클러스터 매핑

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A Study of FPGA Algorithm for consider the Power Consumption (소모전력을 위한 FPGA 알고리즘에 관한 연구)

  • Youn, Choong-Mo;Kim, Jae-Jin
    • Journal of Digital Contents Society
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    • v.13 no.1
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    • pp.37-41
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    • 2012
  • In this paper, we proposed FPGA algorithm for consider the power consumption. Proposed algorithm generated a feasible cluster by circuit partition considering the CLB condition within FPGA. Separated the feasible cluster reduced power consumption using glitch removal method. Glitch removal appled delay buffer insertion method by signal process within the feasible cluster. Also, removal glitch between the feasible clusters by signal process for circuit. The experiments results show reduction in the power consumption by 7.14% comparing with that of [9].

Development of CPLD Technology Mapping Algorithm Improving Run-Time (수행시간을 개선한 CPLD 기술 매핑 알고리즘 개발)

  • Youn, Choong-Mo;Kim, Jang-Ok;Kim, Jae-Jin;Park, Nam-Seo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2002.04a
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    • pp.683-686
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    • 2002
  • 본 논문은 시간 제약 조건하에서 수행 시간을 개선한 CPLD 기술 매핑 알고리즘을 제안하였다. 제안된 기술 매핑 알고리즘은 주어진 시간 제약 조건을 고려하여 가장 빠른 시간에 기술 매핑을 수행 할 수 있도록 속도의 개선에 중점을 두었다. 입력된 회로를 DAG로 표현한 후 입력부터 출력의 방향으로 노드들을 검색하여 매핑 가능 클러스터를 생성한다. 생성된 매핑 가능 클러스터들 중에서 시간 제약 조건에 적합한 매핑 가능 클러스터를 선택하여 기술 매핑을 수행함으로서 전체 수행 시간이 다른 알고리즘에 비해 빠르게 수행된는 결과를 나타내었다.

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A Hybrid Heuristic for Clustered Data Mapping (클러스터 데이터 매핑을 위한 혼합형 휴리스틱)

  • 박경모
    • Proceedings of the Korean Information Science Society Conference
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    • 2000.10c
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    • pp.662-664
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    • 2000
  • 병렬 컴퓨팅에서 중요 문제의 하나는 다중 태스크를 다중 프로세서 병렬 시스템의 여러 노드에 대한 최적의 매핑을 찾는 것이다. 이러한 매핑의 목적은 솔루션 품질에 손상 없이 총 실행시간을 최소화시키는 것이다. 이 분야에서는 많은 휴리스틱 방법들을 사용하여 나름대로 매핑 문제를 해결해 왔다. 본 논문에서는 효율적인 클러스터 데이터 매핑을 위한 혼합형 휴리스틱 기법에 대하여 기술한다. 제시하는 휴리스틱 기법은 유전알고리즘과 평균장어닐링 알고리즘을 혼합시킨 것으로 두 가지 방법의 장점들을 합하여 성능을 향상시킬 수 있음을 보여준다. 혼합형 휴리스틱 알고리즘의 솔루션과 실행시간을 기존 매핑 알고리즘들과 비교한 시뮬레이션 결과를 보고한다.

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CLB-Based CPLD Low Power Technology Mapping A1gorithm for Trade-off (상관관계에 의한 CLB구조의 CPLD 저전력 기술 매핑 알고리즘)

  • Kim Jae-Jin;Lee Kwan-Houng
    • Journal of the Korea Society of Computer and Information
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    • v.10 no.2 s.34
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    • pp.49-57
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    • 2005
  • In this paper. a CLB-based CPLD low power technology mapping algorithm for trade-off is proposed. To perform low power technology mapping for CPLD, a given Boolean network has to be represented to DAG. The proposed algorithm consists of three step. In the first step, TD(Transition Density) calculation have to be Performed. Total power consumption is obtained by calculating switching activity of each nodes in a DAG. In the second step, the feasible clusters are generated by considering the following conditions : the number of output. the number of input and the number of OR-terms for CLB within a CPLD. The common node cluster merging method, the node separation method, and the node duplication method are used to produce the feasible clusters. The proposed algorithm is examined by using benchmarks in SIS. In the case that the number of OR-terms is 5, the experiments results show reduction in the power consumption by 30.73$\%$ comparing with that of TEMPLA, and 17.11$\%$ comparing with that of PLAmap respectively

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A Study of Efficient CPLD Low Power Algorithm (효율적인 CPLD 저전력 알고리즘에 관한 연구)

  • Youn, Choong-Mo;Kim, Jae-Jin
    • Journal of Digital Contents Society
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    • v.14 no.1
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    • pp.1-5
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    • 2013
  • In this paper a study of efficient CPLD low power algorithm is proposed. Proposed algorithm applicate graph partition method using DAG. Circuit representation DAG. Each nodes set up cost. The feasible cluster create according to components of CPLD. Created feasible cluster generate power consumption consider the number of OR-term, the number of input and the number of output. Implement a circuit as select FC having the minimum power consumption. Compared with experiment [9], and power consumption was decreased. The proposed algorithm is efficient. this paper, we proposed FPGA algorithm for consider the power consumption.

A Study on Heuristic Methods for Clustered Document Allocation (클러스터 문서할당을 위한 휴리스틱 기법에 관한 연구)

  • 박경모
    • Proceedings of the Korean Information Science Society Conference
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    • 1998.10c
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    • pp.54-56
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    • 1998
  • 본 논문에서는 병렬 정보검색 시스템에 있어 클러스터 문서할당을 위한 두 가지 휴리스틱 기법을 제시한다. 효율적 문서할당에 관한 매핑 문제를 정의하고 유전알고리즘과 모의냉각기법에 기반을 두는 휴리스틱 매핑 알고리즘을 기술한다. 알고리즘 성능실험과 관련하여 시뮬레이션을 통한 다른 할당 알고리즘과 비교평가한 결과 개선된 성능을 얻을 수 있었다.

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Glitch Removal Method in Gate Level consider CPLD Structure (CPLD 구조를 고려한 게이트 레벨 글리치 제거 방법)

  • Kim, Jae-Jin
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2017.01a
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    • pp.145-146
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    • 2017
  • 본 논문에서는 CPLD 구조를 고려한 게이트 레벨 글리치 제거 방법에 대해 제안하였다. CPLD는 AND-OR 게이트의 2단 구조를 가진 LE를 기본 구조로 구성되어 있는 소자이다. CPLD로 구현할 회로에 대한 DAG를 CPLD 구조에 맞도록 그래프를 분할하여 매핑가능클러스터를 생성한다. 생성된 매핑가능클러스터는 내부의 글리치와 전체 회로에 대한 글리치 발생 가능성을 검사하여 글리치를 제거한다. AND게이트와 OR게이트를 사용하는 2단 구조는 게이트가 달라 글리치가 발생될 수 있는 가능성을 검사하기 어렵다는 단점이 있어 AND-OR 게이트의 2단 구조와 동일한 구조를 가지고 있으며 게이트가 동일한 NAND 게이트를 이용하여 전체 회로를 변환한 후 글리치 발생여부를 검사함으로서 정확한 글리치 발생 가능성을 제거한다. 실험 결과는 제안 된 알고리즘 [10]과 비교하였다. 소비 전력이 2 % 감소되어 본논문에서 제안한 방법의 효율성이 입증되었다.

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Adjacency-Based Mapping of Mesh Processes for Switch-Based Cluster Systems of Irregular Topology (비규칙 토폴로지 스위치 기반 클러스터 시스템을 위한 메쉬 프로세스의 인접 기반 매핑)

  • Moh, Sang-Man
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.47 no.2
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    • pp.1-10
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    • 2010
  • Mapping virtual process topology to physical processor topology is one of the most important design issues in parallel programming. However, the mapping problem is complicated due to the topology irregularity and routing complexity. This paper proposes a new process mapping scheme called adjacency-based mapping (AM) for irregular cluster systems assuming that the two-dimensional mesh process topology is specified as an interprocess communication pattern. The cluster systems have been studied and developed for many years since they provide high interconnection flexibility, scalability, and expandability which are not attainable in traditional regular networks. The proposed AM tries to map neighboring processes in virtual process topology to adjacent processors in physical processor topology. Simulation study shows that the proposed AM results in better mapping quality and shorter interprocess latency compared to the conventional approaches.

An Efficient CPLD Technology Mapping considering Area under Time Constraint (시간 제약 조건하에서 면적을 고려한 효율적인 CPLD 기술 매핑)

  • Kim, Jae-Jin;Kim, Hui-Seok
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.38 no.1
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    • pp.79-85
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    • 2001
  • In this paper, we propose a new technology mapping algorithm for CPLD consider area under time constraint(TMFCPLD). This technology mapping algorithm detect feedbacks from boolean networks, then variables that have feedback are replaced to temporary variables. Creating the temporary variables transform sequential circuit to combinational circuit. The transformed circuits are represented to DAG. After traversing all nodes in DAG, the nodes that have output edges more than two are replicated and reconstructed to fanout free tree. This method is for reason to reduce area and improve total run time of circuits by TEMPLA proposed previously. Using time constraints and delay time of device, the number of graph partitionable multi-level is decided. Initial cost of each node are the number of OR-terms that it have. Among mappable clusters, clusters of which the number of multi-level is least is selected, and the graph is partitioned. Several nodes in partitioned clusters are merged by collapsing, and are fitted to the number of OR-terms in a given CLB by bin packing. Proposed algorithm have been applied to MCNC logic synthesis benchmark circuits, and have reduced the number of CLBs by 62.2% than those of DDMAP. And reduced the number of CLBs by 17.6% than those of TEMPLA, and reduced the number of CLBs by 4.7% than those of TMCPLD. This results will give much efficiency to technology mapping for CPLDs.

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Mapping 3D Shorelines Using KOMPSAT-2 Imagery and Airborne LiDAR Data (KOMPSAT-2 영상과 항공 LiDAR 자료를 이용한 3차원 해안선 매핑)

  • Choung, Yun Jae
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.33 no.1
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    • pp.23-30
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    • 2015
  • A shoreline mapping is essential for describing coastal areas, estimating coastal erosions and managing coastal properties. This study has planned to map the 3D shorelines with the airborne LiDAR(Light Detection and Ranging) data and the KOMPSAT-2 imagery, acquired in Uljin, Korea. Following to the study, the DSM(Digital Surface Model) is generated firstly with the given LiDAR data, while the NDWI(Normalized Difference Water Index) imagery is generated by the given KOMPSAT-2 imagery. The classification method is employed to generate water and land clusters from the NDWI imagery, as the 2D shorelines are selected from the boundaries between the two clusters. Lastly, the 3D shorelines are constructed by adding the elevation information obtained from the DSM into the generated 2D shorelines. As a result, the constructed 3D shorelines have had 0.90m horizontal accuracy and 0.10m vertical accuracy. This statistical results could be concluded in that the generated 3D shorelines shows the relatively high accuracy on classified water and land surfaces, but relatively low accuracies on unclassified water and land surfaces.