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Scientific simulations on high performance computing (HPC) platforms generate large quantities of data. To bridge the widening gap between compute and I/O, and enable data to be more efficiently stored and analyzed, simulation outputs need to be refactored, reduced, and appropriately mapped to storage tiers. However, a systematic solution to support these steps has been lacking on the current HPC...
As we continue toward exascale, scientific data volume is continuing to scale and becoming more burdensome to manage. In this paper, we lay out opportunities to enhance state of the art data management techniques. We emphasize well-principled data compression, and using it to achieve progressive refinement. This can both accelerate I/O and afford the user increased flexibility when she interacts with...
Improving read performance is one of the major challenges with speeding up scientific data analytic applications. Utilizing the memory hierarchy is one major line of researches to address the read performance bottleneck. Related methods usually combine solide-state-drives(SSDs) with dynamic random-access memory(DRAM) and/or parallel file system(PFS) to mitigate the speed and space gap between DRAM...
We improve the structure learning approach from several aspects to learn huge Bayesian network and propose network merging methods to get better result. This approach is applied to build mRNA-miRNA-cancer network by using dataset whose samples have both mRNAs and miRNAs expression data. We evaluate the learning approach and compare merging methods through experiments and evaluate the network we have...
The Cumulus Pricing Scheme (CPS) could be an important management functionality of the commercial networks in future and it is the only approach known so far defining a clear relation between different time-scales of accounting periods, measurement periods and charging periods. Prices in this scheme are based on flat fees and hence predictable and transparent. CPS is backed by the design of a generic...
Though an abundance of novel "data transformation" technologies have been developed (such as compression, level-of-detail, layout optimization, and indexing), there remains a notable gap in the adoption of such services by scientific applications. In response, we develop an in situ data transformation framework in the ADIOS I/O middleware with a "plug in" interface, thus greatly...
As computing power increases exponentially, vast amount of data is created by many scientific research activities. However, the bandwidth for storing the data to disks and reading the data from disks has been improving at a much slower pace. These two trends produce an ever-widening data access gap. Our work brings together two distinct technologies to address this data access issue: indexing and...
Operating room (OR) plays a key role in hospitals. Resources required for surgery process include both manpower and facilities. A rational utilization of resource may lead to high efficiency of OR, as well as patients satisfaction. A discrete event system simulation model of ORs in hospital is built under SIMIO. The case study is investigated based on current patients flow and operation data collected...
In view of the independence and disagreement of each index in the groundwater quality evaluating, projection pursuit evaluating model is applied to groundwater quality evaluation, and real coding based accelerating genetic algorithm is introduced to optimize the projection direction so that multi-dimension data can be turned into low dimension space. The value of projection function can be calculated...
Peta-scale scientific applications running on High End Computing (HEC) platforms can generate large volumes of data. For high performance storage and in order to be useful to science end users, such data must be organized in its layout, indexed, sorted, and otherwise manipulated for subsequent data presentation, visualization, and detailed analysis. In addition, scientists desire to gain insights...
The ensemble method called Mixture of Experts, based on the Divide-and-Conquer principle was proposed to model a new Strabotomy Surgical Decision system, in which an extra gating component is used to compute weights dynamically according to the inputs. The aim is to develop a new operation quantity planning decision model (OQPDM) to predict the corrective quantity of lateral and medial rectus in strabotomy...
According to deep analysis on the usability of COPS protocol in the solution to network QoS, the paper puts forward an argument which is based upon call control server in Softswitch system, then give a simulation by using the scheme. Via analyzing the simulation results, it proves that the scheme could improve network transmission quality effectively, and make a better use of network bandwidth.
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