Works (7)

Updated: July 5th, 2023 15:43

2015 article

Parallel In Situ Detection of Connected Components in Adaptive Mesh Refinement Data

Zou, X., Wu, K., Boyuka, D. A., Martin, D. F., Byna, S., Tang, H., … Samatova, N. F. (2015, May 1).

By: X. Zou n, K. Wu*, D. Boyuka n, D. Martin*, S. Byna*, H. Tang n, K. Bansal n, T. Ligocki*, H. Johansen*, N. Samatova n

topics (OpenAlex): Computer Graphics and Visualization Techniques; Medical Imaging Techniques and Applications; Digital Image Processing Techniques
TL;DR: The first connected component detection methodology for structured AMR that is applicable in a parallel, in situ context is presented, incorporating an multi-phase AMR-aware communication pattern that synchronizes connectivity information across the AMR hierarchy. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2015 article

The hyperdyadic index and generalized indexing and query with PIQUE

Boyuka, D. A., Tang, H., Bansal, K., Zou, X., Klasky, S., & Samatova, N. F. (2015, June 29).

By: D. Boyuka n, H. Tang n, K. Bansal n, X. Zou n, S. Klasky* & N. Samatova n

topics (OpenAlex): Data Management and Algorithms; Advanced Database Systems and Queries; Scientific Computing and Data Management
TL;DR: PIQUE factors out commonalities in indexing, employing algorithmic/data structure "plugins" to mix orthogonal indexing concepts such as FastBit compressed bitmaps with ALACRITY binning, all within one framework. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2014 article

DIRAQ: scalable in situ data- and resource-aware indexing for optimized query performance

Lakshminarasimhan, S., Zou, X., Boyuka, D. A., Pendse, S. V., Jenkins, J., Vishwanath, V., … Samatova, N. F. (2014, March 11). Cluster Computing.

author keywords: Exascale computing; Indexing; Query processing; Compression
topics (OpenAlex): Graph Theory and Algorithms; Advanced Data Storage Technologies; Distributed and Parallel Computing Systems
TL;DR: DIRAQ is proposed, a parallel in situ, in network data encoding and reorganization technique that enables the transformation of simulation output into a query-efficient form, with negligible runtime overhead to the simulation run. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2014 article

Transparent in Situ Data Transformations in ADIOS

Boyuka, D. A., Lakshminarasimham, S., Zou, X., Gong, Z., Jenkins, J., Schendel, E. R., … Samatova, N. F. (2014, May 1).

By: D. Boyuka n, S. Lakshminarasimham*, X. Zou n, Z. Gong n, J. Jenkins n, E. Schendel n, N. Podhorszki*, Q. Liu*, S. Klasky*, N. Samatova n

topics (OpenAlex): Advanced Data Storage Technologies; Scientific Computing and Data Management; Parallel Computing and Optimization Techniques
TL;DR: This work develops an in situ data transformation framework in the ADIOS I/O middleware with a "plug in" interface, thus greatly simplifying both the deployment and use of data transform services in scientific applications. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2013 article

PARLO: PArallel Run-Time Layout Optimization for Scientific Data Explorations with Heterogeneous Access Patterns

Gong, N. Z., Boyuka, D. A., Zou, N. X., Liu, N. Q., Podhorszki, N., Klasky, S., … Samatova, N. F. (2013, May 1).

By: N. Gong n, D. Boyuka n, N. Zou n, N. Liu*, N. Podhorszki*, S. Klasky*, N. Ma n, N. Samatova n

topics (OpenAlex): Advanced Data Storage Technologies; Advanced Database Systems and Queries; Parallel Computing and Optimization Techniques
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Source: Web Of Science
Added: August 6, 2018

2012 article

Byte-precision level of detail processing for variable precision analytics

Jenkins, J., Schendel, E. R., Lakshminarasimhan, S., Boyuka, D. A., Rogers, T., Ethier, S., … Samatova, N. F. (2012, November 1). 2012 International Conference for High Performance Computing, Networking, Storage and Analysis.

By: J. Jenkins n, E. Schendel n, S. Lakshminarasimhan n, D. Boyuka n, T. Rogers n, S. Ethier*, R. Ross*, S. Klasky*, N. Samatova n

topics (OpenAlex): Advanced Data Storage Technologies; Parallel Computing and Optimization Techniques; Algorithms and Data Compression
TL;DR: A precision level of detail (APLOD) library is developed, which partitions double-precision datasets along user-defined byte boundaries, and finds a strong applicability for the use of varying degrees of precision to reduce the cost of analyzing extreme-scale data. (via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018

conference paper

ALACRITY: Analytics-driven lossless data compression for rapid in-situ indexing, storing, and querying

Jenkins, J., Arkatkar, I., Lakshminarasimhan, S., Boyuka, D. A., Schendel, E. R., Shah, N., … Samatova, N. F. Transactions on large-scale data- and knowledge- centered systems x: special issue on database- and expert-systems applications, 8220, 95–114.

By: J. Jenkins, I. Arkatkar, S. Lakshminarasimhan, D. Boyuka, E. Schendel, N. Shah, S. Ethier, C. Chang ...

Source: NC State University Libraries
Added: August 6, 2018

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