Works (6)

Updated: July 5th, 2023 15:45

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.

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)
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Source: Web Of Science
Added: August 6, 2018

2013 journal article

Processing MPI Derived Datatypes on Noncontiguous GPU-Resident Data

IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 25(10), 2627–2637.

By: J. Jenkins n, J. Dinan*, P. Balaji*, T. Peterka*, N. Samatova n & R. Thakur*

author keywords: MPI; graphics processing unit; CUDA; datatype
TL;DR: This work utilizes a kernel on the GPU to pack arbitrary noncontiguous GPU data by enriching the datatypes encoding to expose a fine-grained, data-point level of parallelism, and demonstrates the efficacy of kernel-based packing in various communication scenarios. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2012 journal article

Local construction of spanners in the 3D space

IEEE Transactions on Mobile Computing, 11(7), 1140–1150.

By: J. Jenkins, I. Kanj, G. Xia & F. Zhang

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

2012 article

Multi-level Layout Optimization for Efficient Spatio-temporal Queries on ISABELA-compressed Data

2012 IEEE 26TH INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM (IPDPS), pp. 873–884.

By: Z. Gong n, S. Lakshminarasimhan n, J. Jenkins n, H. Kolla*, S. Ethier*, J. Chen*, R. Ross*, S. Klasky*, N. Samatova n

TL;DR: This work presents a parallel query-processing engine that can handle both range queries and queries with spatio-temporal constraints, on B-spline compressed data with user-controlled accuracy, and shows it to be efficient with respect to storage, computation, and I/O compared to existing database technologies optimized for query processing on scientific data. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

report

Parallel data layout optimization of scientific data through access-driven replication

Jenkins, J. P., Zou, X., Tang, H., Kimpe, D., Ross, R., & Samatova, N. F. In Technical Report- Not held in TRLN member libraries.

By: J. Jenkins, X. Zou, H. Tang, D. Kimpe, R. Ross & N. Samatova

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

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