A Class of Simple and Effective UQ Methods for Sparse Replicate Data applied to the Cantilever Beam End-to-End UQ Problem.
Abstract not provided.
Romero, Vicente J.↗
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RADAR: Runtime Asymmetric Data-access Driven Scientific Data Replication
Efficient I/O on large-scale spatiotemporal scientific data requires scrutiny of both the logical layout of the data (e.g., row-major vs. column-major) and the physical layout (e.g., distribution on parallel filesystems). For increasingly complex datasets, hand optimization is a difficult matter prone to error and not scalable to the increasing heterogeneity of analysis workloads. Given these factors, we present a partial data replication system called RADAR. We capture datatype- and collective-aware I/O access patterns (indicating logical access) via MPI-IO tracing and use a combination of coarse-grained and fine-grained performance modeling to evaluate and select optimized physical data distributions for the task at hand. Unlike conventional methods, we store all replica data and metadata, along with the original untouched data, under a single file container using the object abstraction in parallel filesystems. Our system results in manyfold improvements in some commonly used subvolume decomposition access patterns.Moreover, the modeling approach can determine whether such optimizations should be undertaken in the first place.
access pattern↗
XRootd, disk-based, caching proxy for optimization of data access, data placement and data replication
Following the success of the XRootd-based US CMS data federation, the AAA project investigated extensions of the federation architecture by developing two sample implementations of an XRootd, disk-based, caching proxy. The first one simply starts fetching a whole file as soon as a file open request is received and is suitable when completely random file access is expected or it is already known that a whole file be read. The second implementation supports on-demand downloading of partial files. Extensions to the Hadoop Distributed File System have been developed to allow for an immediate fallback to network access when local HDFS storage fails to provide the requested block. Both cache implementations are in pre-production testing at UCSD.
Bauerdick, L. A.T.↗
Replication Data for: Uplifting Winds: The Surprisingly Positive Community-Wide Impact of Wind Energy Installations on Property Values
This data archive contains the code and non-restricted datasets to replicate the results in Hoen, B., Brunner, E., & Schwegman, D. "Uplifting Winds: The Surprisingly Positive Community-Wide Impact of Wind Energy Installations on Property Values," Energy Research & Social Science (ERSS).
Earth and Environmental Sciences↗
A Distributed OpenCL Framework using Redundant Computation and Data Replication
Applications written solely in OpenCL or CUDA cannot execute on a cluster as a whole. Most previous approaches that extend these programming models to clusters are based on a common idea: designating a centralized host node and coordinating the other nodes with the host for computation. However, the centralized host node is a serious performance bottleneck when the number of nodes is large. In this paper, we propose a scalable and distributed OpenCL framework called SnuCL-D for large-scale clusters. SnuCL-D's remote device virtualization provides an OpenCL application with an illusion that all compute devices in a cluster are confined in a single node. To reduce the amount of control-message and data communication between nodes, SnuCL-D replicates the OpenCL host program execution and data in each node. We also propose a new OpenCL host API function and a queueing optimization technique that significantly reduce the overhead incurred by the previous centralized approaches. To show the effectiveness of SnuCL-D, we evaluate SnuCL-D with a microbenchmark and eleven benchmark applications on a large-scale CPU cluster and a medium-scale GPU cluster.
Kim, Junghyun↗
Replication Data for: Direct observation of van der Waals stacking dependent interlayer magnetism
Data repository for: Direct observation of van der Waals stacking dependent interlayer magnetism. Data description.pdf describes the uploaded data. Fig1.xlsx to Fig4.xlsx is the data represented in the main text. FigS1.xlsx to FigS17.xlsx is the data represented in the Supplementary Materials.
2D materials↗
Replication Data for: Elucidating the composition of PtAg surface alloys with atomic-scale imaging and spectroscopy
The data underlying this published work have been made publicly available in this repository as part of the IMASC Data Management Plan. This work was supported as part of the Integrated Mesoscale Architectures for Sustainable Catalysis (IMASC), an Energy Frontier Research Center funded by the U.S. Department of Energy, Office of Science, Basic Energy Sciences under Award # DE-SC0012573.
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Replication Data for: The role of oxygenated species in the catalytic self-coupling of MeOH on O pre-covered Au(111)
The data underlying this published work have been made publicly available in this repository as part of the IMASC Data Management Plan. This work was supported as part of the Integrated Mesoscale Architectures for Sustainable Catalysis (IMASC), an Energy Frontier Research Center funded by the U.S. Department of Energy, Office of Science, Basic Energy Sciences under Award # DE-SC0012573.
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Replication Data for: Toward benchmarking theoretical computations of elementary rate constants on catalytic surfaces: formate decomposition on Au and Cu
The data underlying this published work have been made publicly available in this repository as part of the IMASC Data Management Plan. This work was supported as part of the Integrated Mesoscale Architectures for Sustainable Catalysis (IMASC), an Energy Frontier Research Center funded by the U.S. Department of Energy, Office of Science, Basic Energy Sciences under Award # DE-SC0012573.
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Replication Data for: Aggregated nanoparticles: Sample preparation and analysis by atom probe tomography
The data underlying this published work have been made publicly available in this repository as part of the IMASC Data Management Plan. This work was supported as part of the Integrated Mesoscale Architectures for Sustainable Catalysis (IMASC), an Energy Frontier Research Center funded by the U.S. Department of Energy, Office of Science, Basic Energy Sciences under Award # DE-SC0012573.
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Replication Data for: High-field magnetic phase diagrams of RMn6Sn6 kagome metals
ASCII and machine readable data from the publication: High-field magnetic phase diagrams of RMn6Sn6 kagome metals
McQueeney, Robert [Ames National Laboratory; Ames ↗
Replication Data for: NiAu single atom alloys for the selective oxidation of methacrolein with methanol to methyl methacrylate
The data underlying this published work have been made publicly available in this repository as part of the IMASC Data Management Plan. This work was supported as part of the Integrated Mesoscale Architectures for Sustainable Catalysis (IMASC), an Energy Frontier Research Center funded by the U.S. Department of Energy, Office of Science, Basic Energy Sciences under Award # DE-SC0012573.
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Replication Data for: Tuning reactivity layer-by-layer: formic acid activation on Ag/Pd(111)
The data underlying this published work have been made publicly available in this repository as part of the IMASC Data Management Plan. This work was supported as part of the Integrated Mesoscale Architectures for Sustainable Catalysis (IMASC), an Energy Frontier Research Center funded by the U.S. Department of Energy, Office of Science, Basic Energy Sciences under Award # DE-SC0012573.
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Replication Data for: Comment on "STM study of the (111) and (100) surfaces of PdAg, Surf. Sci. 417 (1998) 292-300" and references therein
The data underlying this published work have been made publicly available in this repository as part of the IMASC Data Management Plan. This work was supported as part of the Integrated Mesoscale Architectures for Sustainable Catalysis (IMASC), an Energy Frontier Research Center funded by the U.S. Department of Energy, Office of Science, Basic Energy Sciences under Award # DE-SC0012573.
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Replication Data for: Evidence for an early formation of Serenitatis basin at 4.25 Ga shifts lunar chronology
This dataset contains the iSALE jdata output files used for our article "Evidence for an early formation of Serenitatis basin at 4.25 Ga shifts lunar chronology" We also include example input files (asteroid.inp and material.inp).
Earth and Environmental Sciences↗
Replication Data for: Spatially Nonuniform Reaction Rates during Selective Oxidation on Gold
The data underlying this published work have been made publicly available in this repository as part of the IMASC Data Management Plan. This work was supported as part of the Integrated Mesoscale Architectures for Sustainable Catalysis (IMASC), an Energy Frontier Research Center funded by the U.S. Department of Energy, Office of Science, Basic Energy Sciences under Award # DE-SC0012573.
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Replication Data for: On the Origin of Sinter-Resistance and Catalyst Accessibility in Raspberry-Colloid-Templated Catalyst Design
The data underlying this published work have been made publicly available in this repository as part of the IMASC Data Management Plan. This work was supported as part of the Integrated Mesoscale Architectures for Sustainable Catalysis (IMASC), an Energy Frontier Research Center funded by the U.S. Department of Energy, Office of Science, Basic Energy Sciences under Award # DE-SC0012573.
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