• Journal of KIISE:Computer Systems and Theory
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• v.28 no.4
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• pp.188-195
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• 2001

본 논문에서는 PC 클러스터 기반 CC-NUMA 시스템을 제안하고, 시뮬레이션을 통하여 성능을 분석하였다. PC 클러스터 기반 CC-NUMA 시스템은 PC의 PCI slot에 CC-NUMA 카드를 장착함으로써 구현되며 공유메모리, 네트워크 캐쉬, 네트워크 제어 모듈을 포함한다. CC-NUMA 시스템은 PCI 버스상에 존재하는 메모리를 공유대상으로 하며, 공유메모리와 네트워크 캐쉬사이의 일관성은 IEEE SCI 표준에 의해 유지된다. CC-NUMA 시스템을 시뮬레이션 하기 위해 실행주도 시뮬레이터인 Limes를 수정하여 사용하였으며, 캐쉬 일관성 유지 알고리즘으로 SCI의 typical set을 구현하였다. 또한 기존 시스템과의 비교를 위해서 네트워크 캐쉬를 활용하지 않는 Dolphin사의 PCI-SCI 카드에 기반한 NUMA 시스템을 시뮬레이션 하였다. CC-NUMA 시스템의 성능을 측정하기 위하여 다양한 실험을 수행하였으며, 실험결과 CC-NUMA 시스템이 NUMA 시스템에 비해서 성능향상이 우수함을 알 수 있었다. 또한, CC-NUMA 시스템이 최적의 성능을 발휘하는 파라미터의 값을 도출하였으며, 이를 CC-NUMA 시스템의 실제 구현에 반영하였다.

• Journal of KIISE:Computer Systems and Theory
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• v.29 no.1
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• pp.35-41
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• 2002

It is extremely important to minimize network access time in constructing a high-performance PC cluster system For an SCI based PC cluster it is possilbe to reduce the network access time by maintaining network cache in each cluster node, This paper presents a CC-NUMA card that utilizes network cache for SCI based PC clustering The CC-NUMA card is directly plugged into the PCI solot of each node, and contains shared memory network cache, and interconnection modules. The network cache is maintained for the shared memory on the PCI bus of cluster nodes. The coherency mechanism between the network cache and the shared memory is based on the IEEE SCI standard. A CC-NUMA prototype card is developed to evaluate the performance of the system. According to the experiments. the cluster system with the CC-NUMA card showed considerable improvements compared with an SCI based clustser without network cache.

• Journal of KIISE:Computing Practices and Letters
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• v.6 no.1
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• pp.82-92
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• 2000

This paper introduces an implementation of the diagnosis software for CC-NUMA systems. The CC-NUMA architecture is composed of two or more SMP nodes installed with the specialized hardware to provide cache-coherent operation and the high-speed interconnection network to connect each node, it enables both the high performance and the high scalability. While the CC-NUMA system provides the single system image in the operating system aspect, it should be considered the multiple systems by the diagnostic software. Thus it is difficult to diagnose and manage CC-NUMA system using commercial administration software due to characteristics of the complicated architecture. The remote diagnosis and management are also required with a view to reduce Total Cost of Ownership. In this paper, we design diagnostic software to manage CC-NUMA server system, and propose its mechanism in client-server manner to support remote administration. Additionally, we use the Java-based user interface to enlarge an administrator's accessibility.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04a
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• pp.13-15
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• 2004

CC-NUMA 시스템은 메모리를 분산시켜 트랜잭션을 지역화 함으로써 고성능 및 확장성을 꾀하는 구조이다. 그러나 CC-NUMA 시스템에서 여러 병렬 프로그램들이 수행될 경우, 각 프로그램의 부하 차이에 의하여 균등한 네트워크 활용율을 나타내지 못하며. 이중 링 CC-NUMA 시스템에서 이러한 불균등한 네트워크 부하로 인한 성능 감소가 발생한다. 본 논문은 이중 연결 구조중 하나를 건너뜀 연결을 갖도록 배치하여 균등한 네트워크 부하를 나타내도록 하며, 이중 링에 비하여 균등한 네트워크 부하를 나타냄을 시뮬레이션을 통하여 검증한다.

• The Transactions of the Korea Information Processing Society
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• v.7 no.2
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• pp.488-496
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• 2000

this paper describes the design and implementation of node scheduling for MX Server that is CC-NUMA System COMSIX, the operating system of MX Server, is designed to suit for CC-NUMA Architecture. MX Server consists of up to 8 nodes, and each node is connected by SCI ring. This node scheduling scheme considers data locality for performance improvement of Oracle8i DBMS on the CC-NUMA architecture. For DBMS such as Oracle8i, a multi-threaded process may be run to tie on particular disk. We have developed a CG binding function that the multi-threaded process bound the node. Currently, We don't have an available CC-NUMA Platform. Instead of MX Server, we developed the Node scheduling scheme for multi-threaded process to suit server platform on the PC test-bed and tested completely.

• The KIPS Transactions:PartA
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• v.11A no.3
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• pp.199-206
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• 2004

Under the multiprogrammed situation, the performance of multiprocessor system is affected by the process allocation policy of the operating systems. The lowest communication cost can be achieved when the related processes positioned to the adjacent processors. While the effective allocation is quite difficult to the real situation, and the processing of the allocation policy consumes some computation time. The dual-ring CC-NUMA systems exhibit a quite performance difference according to the process a1location policy due to a lot of unbalanced memory transactions on the interconnection networks. In this paper, I propose a load balanced dual-link CC-NUMA system that does not requires the processes allocation policy. By the program-driven simulation results. the proposed system shows no remarkable difference according to the allocation policy while the dual-ring systems shows 10％ performance improvement by the process allocation. In addition, the proposed system outperforms the dual~ring systems about 1.5 times.

• Journal of KIISE:Computer Systems and Theory
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• v.31 no.11
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• pp.643-657
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• 2004

The chordal ring based CC-NUMA system contains many links to transmit transactions between a local node and a remote node because of its structural characteristics. However, the inclination that the transactions concentrate on the ring link increases both the traffic of the ring link and the response time, which degrades the overall performance of the chordal ring based CC-NUMA system. In this paper we suggest a new remote cache replacement policy that considers both the number of total links and the number of ring links to traverse for the transactions. Our proposed replacement policy can balance data between the ring link and the chordal link properly because it reflects the characteristics of chordal ring based CC-NUMA system well.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.42 no.6
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• pp.19-28
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• 2005

The multiprocessor architecture is a good method to improve the computer system performance. The CC-NUMA provides a single shared space with the physically distributed memories is used widely in the multiprocessor computer system. A CC-NUMA has the full-mapped directory for the shared memory md uses a remote cache memory for tile fast memory access. In this paper, we propose a processing node architecture for a CC-NUMA system and a cache coherency protocol on the physically distributed but logically shared system. We show an implementation result of the system which is adopted the cache coherency protocol.

• Proceedings of the Korean Information Science Society Conference
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• 1999.10c
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• pp.84-86
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• 1999

본 논문은 CC-NUMA 시스템과 같은 다중 컴퓨터 시스템에서 분산된 자원에 대한 효율적인 관리 및 진단을 위한 프레임웍의 설계에 대해 기술한다. CC-NUMA 시스템이란 고성능 상호 연결 망에 결합되어 하드웨어 방식으로 메모리 일관성을 제공하는 다중 컴퓨터이다. 이러한 시스템은 주로 엔터프라이즈 서버용으로 사용되기 때문에 TCO(Total Cost of Ownership)에 근거한 관리 및 지난 기능이 필수적으로 요구된다. 본 연구는 고성능 멀티미디어 서버(MX-Server)의 진단 및 관리 기능으로 제공되는 SDC(Server Diagnositc Card)의 하드웨어 및 소프트웨어 구조 설계 시 고려사항에 대하여 논하였다.

• Journal of KIISE:Computer Systems and Theory
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• v.29 no.9
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• pp.503-513
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• 2002

Since CC-NUMA architecture has to access remote memory, the interconnection network determines the performance of the CC-NUMA system. Bus which has been used as a popular interconnection network has many limits in a large-scale system because of the limited physical scalability and bandwidth. The dual ring interconnection network, composed of high-speed point-to-point links, is made to resolve the defects of the bus for the large-scale system. However, it also has a problem, in that the response latency is rapidly increased when many nodes are attached to the snooping based CC-NUMA system with the dual ring. In this paper, we propose a ring architecture with repeater nodes in order to overcome the problem of the dual ring on a snooping based CC-NUMA system, and design a repeater node adapted to this architecture. We will also analyze the effects of proposed architecture on the system performance and the response latency by using a probability-driven simulator.