David Andrew Boyuka

Works (7)

Updated: July 5th, 2023 15:43

2015 article

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

2015 15TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND GRID COMPUTING, pp. 302–312.

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

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)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2015 article

The Hyperdyadic Index and Generalized Indexing and Query with PIQUE

PROCEEDINGS OF THE 27TH INTERNATIONAL CONFERENCE ON SCIENTIFIC AND STATISTICAL DATABASE MANAGEMENT.

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

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)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2014 journal article

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

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 17(4), 1101–1119.

By: S. Lakshminarasimhan n, X. Zou n, D. Boyuka n, S. Pendse n, J. Jenkins n, V. Vishwanath *, M. Papka *, S. Klasky *, N. Samatova n

author keywords: Exascale computing; Indexing; Query processing; Compression
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

2014 14TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND GRID COMPUTING (CCGRID), pp. 256–266.

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

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)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2013 article

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

PROCEEDINGS OF THE 2013 13TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND GRID COMPUTING (CCGRID 2013), pp. 343–351.

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

UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2012 conference paper

Byte-precision level of detail processing for variable precision analytics

International conference for high performance computing networking.

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

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

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2025) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.