Works Published in 2018

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Displaying works 21 - 30 of 30 in total

Sorted by most recent date added to the index first, which may not be the same as publication date order.

2018 journal article

Benchmarking treewidth as a practical component of tensor network simulations

PLOS ONE, 13(12).

Ed(s): E. Torre

MeSH headings : Algorithms; Benchmarking; Computer Graphics; Computer Simulation; Quantum Theory; Software
TL;DR: This work exhibits multiple regimes where treewidth-based algorithms outperform domain-specific algorithms, while demonstrating that the optimal choice of algorithm has a complex dependence on the network density, expected contraction complexity, and user run time requirements. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: January 7, 2019

2018 journal article

Efficient Document Analytics on Compressed Data: Method, Challenges, Algorithms, Insights

PROCEEDINGS OF THE VLDB ENDOWMENT, 11(11), 1522–1535.

TL;DR: This work proposes the concept of compression-based direct processing to enable direct document analytics on compressed data, and presents how the concept can be materialized on Sequitur, a compression algorithm that produces hierarchical grammar-like representations. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: December 31, 2018

2018 journal article

LCD: A Fast Contrastive Divergence Based Algorithm for Restricted Boltzmann Machine

NEURAL NETWORKS, 108, 399–410.

By: L. Ning n, R. Pittman n & X. Shen n

author keywords: RBM; Contrastive Divergence; Acceleration
MeSH headings : Algorithms; Databases, Factual; Deep Learning / trends; Machine Learning / trends; Neural Networks, Computer; Time Factors
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: December 3, 2018

2018 journal article

Is it "Fake News'? Intelligence Community expertise and news dissemination as measurements for media reliability

INTELLIGENCE AND NATIONAL SECURITY, 33(7), 1040–1052.

By: H. Rendon, A. Wilson* & J. Stegall*

Sources: Web Of Science, NC State University Libraries
Added: November 19, 2018

2018 article

Editorial for the Special Issue on In-Memory Computing

Shen, X., Lovas, R., & Liao, X. (2018, October). JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, Vol. 120, pp. 322–322.

Sources: Web Of Science, NC State University Libraries
Added: October 19, 2018

2018 conference paper

Bridging the Gap between Deep Learning and Sparse Matrix Format Selection

ACM SIGPLAN NOTICES, 53(1), 94–108.

TL;DR: This work describes how to effectively bridge the gap between deep learning and the special needs of the pillar HPC problem through a set of techniques on matrix representations, deep learning structure, and cross-architecture model migrations. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: October 16, 2018

2018 article

Taming the "Monster": Overcoming Program Optimization Challenges on SW26010 Through Precise Performance Modeling

2018 32ND IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM (IPDPS), pp. 763–773.

TL;DR: An effort for overcoming the complexities of program optimizations on SW26010, the heterogeneous many-core processor that powers Sunway TaihuLight, the world top one supercomputer, is presented, showing a precise, static performance model that achieves a high accuracy and speeds up the tuning process by as much as a factor of 43 while keeping the tuning quality loss below 6%. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: October 16, 2018

2018 article

Overhead-Conscious Format Selection for SpMV-Based Applications

2018 32ND IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM (IPDPS), pp. 950–959.

By: Y. Zhao n, W. Zhou n, X. Shen n & G. Yiu*

author keywords: SpMV; High Performance Computing; Program Optimizations; Sparse Matrix Format; Prediction Model
TL;DR: A two-stage lazy-and-light scheme to help control the risks in the format predictions and at the same time maximize the overall format conversion benefits is proposed, which outperforms previous techniques significantly. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: October 16, 2018

2018 journal article

Twitter geolocation: A hybrid approach

ACM Transactions on Knowledge Discovery from Data, 12(3).

By: J. Bakerman, K. Pazdernik, A. Wilson, G. Fairchild & R. Bahran

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

2018 journal article

The negative log-gamma prior distribution for Bayesian assessment of system reliability

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY, 232(3), 308–319.

author keywords: Bayesian; elicitation; posterior distribution; prior distribution; negative log-gamma
TL;DR: The negative log-gamma distribution is presented as a prior distribution useful for Bayesian assessment of system reliability and two new prior distributions for analyzing time-varying reliability are proposed. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

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