Works Published in 2017

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Displaying works 21 - 27 of 27 in total

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

2017 conference paper

An infrastructure for HPC knowledge sharing and reuse

ACM SIGPLAN Notices, 52(8), 461–462.

By: Y. Zhao n, C. Liao* & X. Shen n

UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure (OpenAlex)
Sources: NC State University Libraries, ORCID
Added: August 6, 2018

2017 article

Sweet KNN: An Efficient KNN on GPU through Reconciliation between Redundancy Removal and Regularity

2017 IEEE 33RD INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2017), pp. 621–632.

By: G. Chen n, Y. Ding n & X. Shen n

TL;DR: This work gives a detailed study on how to effectively combine the strengths of both approaches to create a new KNN on GPU named Sweet KNN, the first high-performance triangular-inequality-based Knn on GPU that manages to reach a sweet point between redundancy minimization and regularity preservation for various datasets. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: August 6, 2018

2017 journal article

System Reliability and Component Importance Under Dependence: A Copula Approach

TECHNOMETRICS, 59(2), 215–224.

By: X. Zhang n & A. Wilson n

author keywords: Dependent coherent system; Discrete marginal; Gaussian copula; Multi-state system
TL;DR: This work characterize the influence of dependence structures on system reliability and component importance in coherent systems with discrete marginal distributions and extends the framework to coherent multi-state system. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2017 journal article

Optimizing Data Placement on GPU Memory: A Portable Approach

IEEE Transactions on Computers, 66(3), 473–487.

By: G. Chen n, X. Shen n, B. Wu* & D. Li*

author keywords: GPU; memory performance; cache; compiler; data placement; hardware specification language
TL;DR: This article provides a comprehensive description of this method, and presents several extensions that significantly improve the scalability of PORPLE, which include a novel algorithm design for efficiently searching for the best data placements, the use of active profiling for reducing the online-profiling overhead, and a systematic examination of a path-based performance model. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, Crossref
Added: August 6, 2018

2017 journal article

A Bayesian approach to modeling diffraction profiles and application to ferroelectric materials

Journal of Applied Crystallography, 50, 211–220.

By: T. Iamsasri, J. Guerrier, G. Esteves, C. Fancher, A. Wilson, R. Smith, E. Paisley, R. Johnson-Wilke ...

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

2017 journal article

Bayesian reliability: Combining information

Quality Engineering, 29(1), 119–129.

By: A. Wilson & K. Fronczyk

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

2017 journal article

Understanding co-run performance on CPU-GPU integrated processors: observations, insights, directions

Frontiers of Computer Science, 11(1), 130–146.

author keywords: performance analysis; GPGPU; co-run degradation; fused processor; program transformation
TL;DR: This work investigates the performance implications of independently co-running CPU and GPU programs on these platforms, and produces a list of novel insights, including the important roles of operating system (OS) context switching and power management in determining the program performance. (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Sources: Web Of Science, NC State University Libraries, Crossref
Added: August 6, 2018

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