Works Published in 2015

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Displaying all 18 works

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

2015 journal article

Zig-Zag Numberlink is NP-Complete

Journal of Information Processing, 23(3), 239–245.

Contributors: A. Adcock*, E. Demaine*, M. Demaine*, . M.P. O'Brien, F. Reidl*, F. Villaamil*, B. Sullivan n

TL;DR: The hardness result can be compared to two previous NP-hardness proofs: Lynch's 1975 proof without the ``cover all vertices'' constraint, and Kotsuma and Takenaga's 2010 proof when the paths are restricted to have the fewest possible corners within their homotopy class. (via Semantic Scholar)
Source: ORCID
Added: August 6, 2022

2015 report

Yinyang K-Means: A Drop-In Replacement of the Classic K-Means with Consistent Speedup

(Technical Report No. TR-2015-2). North Carolina State University.

By: Y. Ding, X. Shen, M. Musuvathi & T. Mytkowicz

Source: NC State University Libraries
Added: January 30, 2021

2015 report

TOP: A Framework for Enabling Algorithmic Optimizations for Distance-Related Problems”

(Technical Report No. TR-2015-3). North Carolina State University.

By: Y. Ding, X. Shen, M. Musuvathi & T. Mytkowicz

Source: NC State University Libraries
Added: January 30, 2021

2015 conference paper

TOP: A Framework for Enabling Algorithmic Optimizations for Distance-Related Problems

In C. Li & V. Markl (Eds.), 41st International Conference on Very Large Data Bases (VLDB 2015) : proceedings of the VLDB Endowment, volume 8, number 1-13, Kohala Coast, Hawaii, USA, 31 August-4 September 2015. Stanford, CA: VLDB Endowment.

By: Y. Ding, X. Shen, M. Musuvathi & T. Mytkowicz

Ed(s): C. Li & V. Markl

Event: 41st International Conference on Very Large Data Bases at Kohala Coast, Hawaii

Source: NC State University Libraries
Added: January 30, 2021

2015 conference paper

Yinyang K-Means: A Drop-In Replacement of the Classic K-Means with Consistent Speedup

Proceedings of the 32nd International Conference on Machine Learning, 37, 579–587. Lille, France.

By: Y. Ding, Y. Zhao, X. Shen, M. Musuvathi & T. Mytkowicz

Event: The 32nd International Conference on Machine Learning at Lille, France on July 6-11, 2015

Source: NC State University Libraries
Added: January 30, 2021

2015 conference paper

Enabling and Exploiting Flexible Task Assignment on GPU through SM-Centric Program Transformations

Proceedings of the 29th ACM on International Conference on Supercomputing - ICS '15. Presented at the the 29th ACM.

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

Event: the 29th ACM

author keywords: GPGPU; Scheduling; Compiler Transformation; Data Affinity; Program Co-Run
TL;DR: It is shown that some simple optimization techniques can enhance co-runs of multiple kernels and improve data locality of irregular applications, producing 20-33% average increase in performance, system throughput, and average turnaround time. (via Semantic Scholar)
UN Sustainable Development Goal Categories
8. Decent Work and Economic Growth (OpenAlex)
Sources: Crossref, ORCID
Added: September 5, 2020

2015 conference paper

Free launch

Proceedings of the 48th International Symposium on Microarchitecture - MICRO-48. Presented at the the 48th International Symposium.

By: G. Chen n & X. Shen n

Event: the 48th International Symposium

author keywords: GPU; Dynamic Parallelism; Optimization; Thread Reuse Compiler; Runtime Adaptation
TL;DR: This work proposes free launch, a new software approach to overcoming the shortcomings of both methods for exploiting dynamic parallelism on GPU, which employs a novel compiler-based code transformation named subkernel launch removal to replace the subkernel launches with the reuse of parent threads. (via Semantic Scholar)
Sources: Crossref, ORCID
Added: September 5, 2020

2015 chapter

Understanding Co-run Degradations on Integrated Heterogeneous Processors

In Languages and Compilers for Parallel Computing (pp. 82–97).

author keywords: Heterogeneous architecture; Performance analysis; CPU and memory contention; Optimization; GPGPU
TL;DR: Co-runs of independent applications on systems with heterogeneous processors are common and limited understanding on the influence of co-runners on such systems is limited. (via Semantic Scholar)
Source: Crossref
Added: September 4, 2020

2015 article

Hyperbolicity, Degeneracy, and Expansion of Random Intersection Graphs

ALGORITHMS AND MODELS FOR THE WEB GRAPH, (WAW 2015), Vol. 9479, pp. 29–41.

By: M. Farrell*, T. Goodrich n, N. Lemons*, F. Reidl*, F. Villaamil* & B. Sullivan n

Contributors: M. Farrell*, T. Goodrich n, N. Lemons*, F. Reidl*, F. Villaamil* & B. Sullivan n

Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

2015 article

On the Threshold of Intractability

ALGORITHMS - ESA 2015, Vol. 9294, pp. 411–423.

By: P. Drange*, M. Dregi*, D. Lokshtanov* & B. Sullivan n

Contributors: P. Drange*, M. Dregi*, D. Lokshtanov* & B. Sullivan n

TL;DR: This article shows that both graph modification problems are Open image in new window -hard, resolving a conjecture by Natanzon, Shamir, and Sharan (2001), and gives a subexponential time parameterized algorithm solving this problem. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

2015 article

On-the-Fly Principled Speculation for FSM Parallelization

Zhao, Z., & Shen, X. (2015, April). ACM SIGPLAN NOTICES, Vol. 50, pp. 619–630.

By: Z. Zhao* & X. Shen n

author keywords: Languages; Performance; Finite State Machine; FSM; DFA; Speculative Parallelization; Multicore; Online Profiling
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2015 article

Multi-Level Anomaly Detection on Time-Varying Graph Data

PROCEEDINGS OF THE 2015 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM 2015), pp. 579–583.

By: R. Bridges*, J. Collins*, E. Ferragut*, J. Laska* & B. Sullivan n

Contributors: R. Bridges*, J. Collins*, E. Ferragut*, J. Laska* & B. Sullivan n

TL;DR: This work introduces a generalization of the BTER model of Seshadhri et al. by adding flexibility to community structure, and uses this model to perform multi-scale graph anomaly detection, accurately detecting anomalies at the node, subgraph, and graph levels. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

2015 journal article

Statistical methods for combining information: Stryker family of vehicles reliability case study

Journal of Quality Technology, 47(4), 400–415.

By: R. Dickinson*, L. Freeman*, B. Simpson* & A. Wilson n

Contributors: R. Dickinson*, L. Freeman*, B. Simpson* & A. Wilson n

TL;DR: It is shown that, when the available information across two test phases for the Stryker family of vehicles is combined, reliability estimates are more accurate and precise than those reported previously using traditional methods that use only operational test data in their reliability assessments. (via Semantic Scholar)
Sources: NC State University Libraries, ORCID
Added: August 6, 2018

2015 article

Computing quality scores and uncertainty for approximate pattern matching in geospatial semantic graphs

STATISTICAL ANALYSIS AND DATA MINING, Vol. 8, pp. 340–352.

By: D. Stracuzzi*, R. Brost*, C. Phillips*, D. Robinson*, A. Wilson n & D. Woodbridge*

Contributors: D. Stracuzzi*, R. Brost*, C. Phillips*, D. Robinson*, A. Wilson n & D. Woodbridge*

author keywords: uncertainty; confidence intervals; statistical models; graphical models; distance metric; image interpretation; graph search
TL;DR: This work considers the problem of calculating a quality score for each match to the query, given that the underlying data are uncertain and presents a preliminary evaluation of three methods for determining both match quality scores and associated uncertainty bounds. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2015 journal article

WHY DO SIMPLE ALGORITHMS FOR TRIANGLE ENUMERATION WORK IN THE REAL WORLD?

INTERNET MATHEMATICS, 11(6), 555–571.

By: J. Berry*, L. Fostvedt*, D. Nordman*, C. Phillips*, C. Seshadhri* & A. Wilson n

Contributors: J. Berry*, L. Fostvedt*, D. Nordman*, C. Phillips*, C. Seshadhri* & A. Wilson n

UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2015 journal article

Enabling Portable Optimizations of Data Placement on GPU

IEEE Micro, 35(4), 16–24.

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

TL;DR: Porple offers a solution that, for the first time, makes it possible to automatically enhance data placement across a GPU, and shows that Porple consistently finds optimal or near-optimal placement, yielding up to 2.93 times speedups compared to programmers' decisions. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, Crossref
Added: August 6, 2018

2015 article

Autotuning Algorithmic Choice for Input Sensitivity

Ding, Y., Ansel, J., Veeramachaneni, K., Shen, X., O'Reilly, U.-M., & Amarasinghe, S. (2015, June). ACM SIGPLAN NOTICES, Vol. 50, pp. 379–390.

By: Y. Ding n, J. Ansel*, K. Veeramachaneni*, X. Shen n, U. O'Reilly* & S. Amarasinghe*

author keywords: Algorithms; Languages; Performance; Petabricks; Autotuning; Algorithmic Optimization; Input Adaptive; Input Sensitivity; Two-level Input Learning
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2015 conference paper

Understanding co-run degradations on integrated heterogeneous processors

Languages and compilers for parallel computing (lcpc 2014), 8967, 82–97.

By: Q. Zhu, B. Wu, X. Shen, L. Shen & Z. Wang

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

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