The Experts below are selected from a list of 21 Experts worldwide ranked by ideXlab platform

John Clyne - One of the best experts on this subject based on the ideXlab platform.

  • a hardware assisted scalable solution for interactive volume rendering of time varying data
    IEEE Transactions on Visualization and Computer Graphics, 2002
    Co-Authors: John Clyne
    Abstract:

    We present a scalable volume rendering technique that exploits lossy compression and low-cost commodity hardware to permit highly interactive exploration of time-varying scalar volume data. A palette-based decoding technique and an adaptive bit allocation scheme are developed to fully utilize the texturing capability of a commodity 3D graphics card. Using a single PC equipped with a modest amount of memory, a texture-capable graphics card and an Inexpensive Disk array, we are able to render hundreds of time steps of regularly gridded volume data (up to 42 million voxels each time step) at interactive rates. By clustering multiple PCs together, we demonstrate the data-size scalability of our method. The frame rates achieved make possible the interactive exploration of data in the temporal, spatial and transfer function domains. A comprehensive evaluation of our method based on experimental studies using data sets (up to 134 million voxels per time step) from turbulence flow simulations is also presented.

  • texture hardware assisted rendering of time varying volume data
    IEEE Visualization, 2001
    Co-Authors: Eric B Lum, John Clyne
    Abstract:

    In this paper we present a hardware-assisted rendering technique coupled with a compression scheme for the interactive visual exploration of time-varying scalar volume data. A palette-based decoding technique and an adaptive bit allocation scheme are developed to fully utilize the texturing capability of a commodity 3-D graphics card. Using a single PC equipped with a modest amount of memory, a texture capable graphics card, and an Inexpensive Disk array, we are able to render hundreds of time steps of regularly gridded volume data (up to 45 millions voxels each time step) at interactive rates, permitting the visual exploration of large scientific data sets in both the temporal and spatial domain.

Eric B Lum - One of the best experts on this subject based on the ideXlab platform.

  • texture hardware assisted rendering of time varying volume data
    IEEE Visualization, 2001
    Co-Authors: Eric B Lum, John Clyne
    Abstract:

    In this paper we present a hardware-assisted rendering technique coupled with a compression scheme for the interactive visual exploration of time-varying scalar volume data. A palette-based decoding technique and an adaptive bit allocation scheme are developed to fully utilize the texturing capability of a commodity 3-D graphics card. Using a single PC equipped with a modest amount of memory, a texture capable graphics card, and an Inexpensive Disk array, we are able to render hundreds of time steps of regularly gridded volume data (up to 45 millions voxels each time step) at interactive rates, permitting the visual exploration of large scientific data sets in both the temporal and spatial domain.

Tsan-sheng Hsu - One of the best experts on this subject based on the ideXlab platform.

  • CacheRAID: An Efficient Adaptive Write Cache Policy to Conserve RAID Disk Array Energy
    2012 IEEE Fifth International Conference on Utility and Cloud Computing, 2012
    Co-Authors: Tseng-yi Chen, Tsung-tai Yeh, Hsin-wen Wei, Yu-xun Fang, Wei-kuan Shih, Tsan-sheng Hsu
    Abstract:

    Cloud storage is a hot topic at the moment with Google's Google Storage, Microsoft's Sky Drive, iCloud, Drop box, Mozy and dozens of others. Because of these applications, conserving energy of storage systems is becoming a growing concern in current storage technology. The factors of Disk power consumption include Disk idle time, poor random writing performance and random read in distributed file systems. Hence, we present an adaptive write cache mechanism - Cache RAID. Redundant Arrays of Inexpensive Disk (RAID) is widely used in modern distributed storage systems. Our Cache RAID aims to improve the random access problems that implicitly exist in RAID techniques to create more idle time of hard drives, and conserve RAID Disk array energy. The experimental results show that Cache RAID storage system can conserved 50%~70% of the power consumption compared to the conventional software RAID system.

Tseng-yi Chen - One of the best experts on this subject based on the ideXlab platform.

  • CacheRAID: An Efficient Adaptive Write Cache Policy to Conserve RAID Disk Array Energy
    2012 IEEE Fifth International Conference on Utility and Cloud Computing, 2012
    Co-Authors: Tseng-yi Chen, Tsung-tai Yeh, Hsin-wen Wei, Yu-xun Fang, Wei-kuan Shih, Tsan-sheng Hsu
    Abstract:

    Cloud storage is a hot topic at the moment with Google's Google Storage, Microsoft's Sky Drive, iCloud, Drop box, Mozy and dozens of others. Because of these applications, conserving energy of storage systems is becoming a growing concern in current storage technology. The factors of Disk power consumption include Disk idle time, poor random writing performance and random read in distributed file systems. Hence, we present an adaptive write cache mechanism - Cache RAID. Redundant Arrays of Inexpensive Disk (RAID) is widely used in modern distributed storage systems. Our Cache RAID aims to improve the random access problems that implicitly exist in RAID techniques to create more idle time of hard drives, and conserve RAID Disk array energy. The experimental results show that Cache RAID storage system can conserved 50%~70% of the power consumption compared to the conventional software RAID system.

Jun Wang - One of the best experts on this subject based on the ideXlab platform.

  • eeraid energy efficient redundant and Inexpensive Disk array
    ACM SIGOPS European Workshop, 2004
    Co-Authors: Jun Wang
    Abstract:

    Recent research works have been presented on conserving energy for multi-Disk systems either at a single Disk drive level or at a storage system level and thereby having certain limitations. This paper studies several new redundancy-based, power-aware, I/O request scheduling and cache management policies at the RAID controller level to build energy-efficient RAID systems, by exploiting the redundant information and destage issues of the array for two popular RAID levels, RAID 1 and RAID 5. For RAID 1, we develop a Windowed Round Robin (WRR) request scheduling policy; for RAID 5, we introduce a N-chance Power Aware cache replacement algorithm (NPA) for writes and a Power-Directed, Transformable (PDT) request scheduling policy for reads. Trace-driven simulation proves EERAID saves much more energy than legacy RAIDs and existing solutions.