• Title/Summary/Keyword: Fabric Array

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Effect of Manufacturing Conditions on the Properties of Oil-absorbable Melt Blown Nonwoven (멜트블로운 부직포 제조공정이 유흡착포의 특성에 미치는 영향)

  • Shin, Hyun-Sae;Jin, Lu;Yoo, Joo-Hwan
    • Textile Coloration and Finishing
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    • v.21 no.6
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    • pp.22-28
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    • 2009
  • Oil-absorbable nonwovens were produced by melt-blown processing of polypropylene chips. The melt-blown processing conditions, such as air pressure, and gear pump speed, DCD. In this study, these three factors were chosen to produce samples. Experimental array and variance analysis of the design of experiment were used to increase the field repeatability and universality. The effect of the factors on oil absorption properties of melt-blown nonwoven fabric such as oil absorbency were evaluated. As a result, the fiber diameter decreased as gearpump speed decreased or air pressure increased. The oil absorbency increased as air pressure increased or gearpump speed decreased and with the DCD increasing the oil absorbency significantly increased.

Design and Implementation of an InfiniBand System Interconnect for High-Performance Cluster Systems (고성능 클러스터 시스템을 위한 인피니밴드 시스템 연결망의 설계 및 구현)

  • Mo, Sang-Man;Park, Kyung;Kim, Sung-Nam;Kim, Myung-Jun;Im, Ki-Wook
    • The KIPS Transactions:PartA
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    • v.10A no.4
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    • pp.389-396
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    • 2003
  • InfiniBand technology is being accepted as the future system interconnect to serve as the high-end enterprise fabric for cluster computing. This paper presents the design and implementation of the InfiniBand system interconnect, focusing on an InfiniBand host channel adapter (HCA) based on dual ARM9 processor cores The HCA is an SoC tailed KinCA which connects a host node onto the InfiniBand network both in hardware and in software. Since the ARM9 processor core does not provide necessary features for multiprocessor configuration, novel inter-processor communication and interrupt mechanisms between the two processors were designed and embedded within the KinCA chip. Kinch was fabricated as a 564-pin enhanced BGA (Bail Grid Array) device using 0.18${\mu}{\textrm}{m}$ CMOS technology Mounted on host nodes, it provides 10 Gbps outbound and inbound channels for transmit and receive, respectively, resulting in a high-performance cluster system.

High Performance Routing Engine for an Advanced Input-Queued Switch Fabric (고속 입력 큐 스위치를 위한 고성능 라우팅엔진)

  • Jeong, Gab-Joong;Lee, Bhum-Cheol
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2002.05a
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    • pp.264-267
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    • 2002
  • This paper presents the design of a pipelined virtual output queue routing engine for an advanced input-queued ATM switch, which has a serial cross bar structure. The proposed routing engine has been designed for wire-speed routing with a pipelined buffer management. It provides the tolerance of requests and grants data transmission latency between the routing engine and central arbiter using a new request control method that is based on a high-speed shifter. The designed routing engine has been implemented in a field programmable gate array (FPGA) chip with a 77MHz operating frequency, 16$\times$16 switch size, and 2.5Gbps/port speed.

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An Efficient Integer Division Algorithm for High Speed FPGA (고속 FPGA 구현에 적합한 효율적인 정수 나눗셈 알고리즘)

  • Hong, Seung-Mo;Kim, Chong-Hoon
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.44 no.2
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    • pp.62-68
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    • 2007
  • This paper proposes an efficient integer division algorithm for high speed FPGAs' which support built-in RAMs' and multipliers. The integer division algorithm is iterative with RAM-based LUT and multipliers, which minimizes the usage of logic fabric and connection resources. Compared with some popular division algorithms such as division by subtraction or division by multiply-subtraction, the number of iteration is much smaller, so that very low latency can be achieved with pipelined implementations. We have implemented our algorithm in the Xilinx virtex-4 FPGA with VHDL coding and have achieved 300MSPS data rate in 17bit integer division. The algorithm used less than 1/6 of logic slices, 1/4 of the built-in multiply-accumulation units, and 1/3 of the latencies compared with other popular algorithms.