Works Published in 2010

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Displaying works 41 - 60 of 187 in total

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

2010 chapter

Combining Locality Analysis with Online Proactive Job Co-scheduling in Chip Multiprocessors

In High Performance Embedded Architectures and Compilers (pp. 201–215).

By: Y. Jiang*, K. Tian* & X. Shen*

TL;DR: A lightweight locality model is developed that enables efficient, proactive prediction of the performance of co-running processes, offering the potential for an integration in online scheduling systems. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: September 5, 2020

2010 conference paper

Does cache sharing on modern CMP matter to the performance of contemporary multithreaded programs?

Proceedings of the 15th ACM SIGPLAN symposium on Principles and practice of parallel programming - PPoPP '10. Presented at the the 15th ACM SIGPLAN symposium.

By: E. Zhang*, Y. Jiang* & X. Shen*

Event: the 15th ACM SIGPLAN symposium

author keywords: Shared Cache; Thread Scheduling; Parallel Program Optimizations; Chip Multiprocessors
TL;DR: A systematic measurement of the influence of CMP cache sharing on two kinds of commodity CMP machines, using a recently released CMP benchmark suite, PARSEC, with a number of potentially important factors on program, OS, and architecture levels considered shows some surprising results. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: September 5, 2020

2010 chapter

Is Reuse Distance Applicable to Data Locality Analysis on Chip Multiprocessors?

In Lecture Notes in Computer Science (pp. 264–282).

By: Y. Jiang*, E. Zhang*, K. Tian* & X. Shen*

TL;DR: The concept of concurrent reuse distance is introduced, a direct extension of the traditional concept of reuse distance with data references by all co-running threads (or jobs) considered, and the special challenges facing the collection and application of concurrent reused distance on CMP platforms are revealed. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: September 5, 2020

2010 conference paper

Exploiting statistical correlations for proactive prediction of program behaviors

Proceedings of the 8th annual IEEE/ ACM international symposium on Code generation and optimization - CGO '10. Presented at the the 8th annual IEEE/ ACM international symposium.

By: Y. Jiang*, E. Zhang*, K. Tian*, F. Mao*, M. Gethers*, X. Shen*, Y. Gao*

Event: the 8th annual IEEE/ ACM international symposium

TL;DR: A regression based framework is proposed to automatically identify a small set of behaviors that can lead to accurate prediction of other behaviors in a program, called seminal behaviors, and constructs predictive models that map from seminal behaviors to other behaviors, enabling proactive and cross-input adaptive prediction of program behaviors. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: September 5, 2020

2010 conference paper

Streamlining GPU applications on the fly

Proceedings of the 24th ACM International Conference on Supercomputing - ICS '10. Presented at the the 24th ACM International Conference.

By: E. Zhang*, Y. Jiang*, Z. Guo* & X. Shen*

Event: the 24th ACM International Conference

TL;DR: A systematic investigation in the employment of runtime thread-data remapping for solving the problem of thread divergences on runtime values is presented, and a solution is offered by proposing a CPU-GPU pipelining scheme and a label-assign-move (LAM) algorithm to virtually hide all the remapping overhead. (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Sources: Crossref, NC State University Libraries
Added: September 5, 2020

2010 conference paper

An input-centric paradigm for program dynamic optimizations

Proceedings of the ACM international conference on Object oriented programming systems languages and applications - OOPSLA '10. Presented at the the ACM international conference.

By: K. Tian*, Y. Jiang*, E. Zhang* & X. Shen*

Event: the ACM international conference

Sources: Crossref, NC State University Libraries
Added: September 5, 2020

2010 journal article

Cinematic Visual Discourse: Representation, Generation, and Evaluation

IEEE Transactions on Computational Intelligence and AI in Games, 2(2), 69–81.

By: A. Jhala* & R. Young n

Contributors: A. Jhala* & R. Young n

author keywords: Discourse generation; machinima generation; planning
TL;DR: This paper presents the design, implementation, and evaluation of an end-to-end camera planning system called Darshak, which utilizes a hierarchical partial-order causal link (POCL) planning algorithm to generate narrative plans that contain story events and camera directives for filming them. (via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities (OpenAlex)
Sources: Crossref, ORCID
Added: August 28, 2020

2010 chapter

Impossibility Results for RFID Privacy Notions

In Transactions on Computational Science XI (pp. 39–63).

By: F. Armknecht*, A. Sadeghi*, A. Scafuro*, I. Visconti* & C. Wachsmann*

TL;DR: The model proposed by Paise and Vaudenay is revisited and it is shown that the strongest privacy notion (narrow-strong privacy) cannot be achieved simultaneously with reader authentication even under the strong assumption that tag corruption does not disclose temporary tag states. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Source: Crossref
Added: August 28, 2020

2010 chapter

D(e|i)aling with VoIP: Robust Prevention of DIAL Attacks

In Computer Security – ESORICS 2010 (pp. 663–678).

By: A. Kapravelos*, I. Polakis*, E. Athanasopoulos, S. Ioannidis* & E. Markatos*

TL;DR: The nature of the attack is such that anyone can launch a Dial attack towards any telephone device, and the attack has zero financial cost, requires negligible computational resources and cannot be traced back to the attacker. (via Semantic Scholar)
Source: Crossref
Added: August 28, 2020

2010 journal article

Practical considerations in deploying statistical methods for defect prediction: A case study within the Turkish telecommunications industry

Information and Software Technology, 52(11), 1242–1257.

By: A. Tosun*, A. Bener*, B. Turhan* & T. Menzies*

author keywords: Software defect prediction; Experience report; Naive Bayes; Static code attributes
Sources: Crossref, NC State University Libraries
Added: August 28, 2020

2010 journal article

A second look at Faster, Better, Cheaper

Innovations in Systems and Software Engineering, 6(4), 319–335.

By: O. El-Rawas* & T. Menzies*

author keywords: Software engineering; Predictor models; COCOMO; Faster Better Cheaper; Simulated annealing; Software processes
TL;DR: A stochastic AI tool is utilized to determine the behavior of FBC and it is found that, with certain caveats, it is a viable approach to systems development. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: August 28, 2020

2010 journal article

Automatically finding the control variables for complex system behavior

Automated Software Engineering, 17(4), 439–468.

By: G. Gay, T. Menzies*, M. Davies* & K. Gundy-Burlet*

author keywords: Contrast-set learning; Search-based software engineering; Simulation; Optimization; Monte Carlo filtering
TL;DR: This paper benchmarks the TAR3 and TAR4.1 treatment learners against optimization techniques across three complex systems, including two projects from the Robust Software Engineering group within the National Aeronautics and Space Administration (NASA) Ames Research Center, and shows that treatment learning is both faster and more accurate than traditional optimization methods. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: August 28, 2020

2010 journal article

Stable rankings for different effort models

Automated Software Engineering, 17(4), 409–437.

By: T. Menzies*, O. Jalali*, J. Hihn*, D. Baker* & K. Lum*

author keywords: COCOMO; Effort estimation; Data mining; Evaluation
TL;DR: While there exists no single universal “best” effort estimation method, there appears to exist a small number of most useful methods, which should be preceded by a “selection study” that finds the best local estimator. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: August 28, 2020

2010 journal article

Defect prediction from static code features: current results, limitations, new approaches

Automated Software Engineering, 17(4), 375–407.

author keywords: Defect prediction; Static code features; WHICH
TL;DR: It is hypothesized that the limits of the standard learning goal of maximizing area under the curve (AUC) of the probability of false alarms and probability of detection “AUC(pd, pf)” are reached, and certain widely used learners perform much worse than simple manual methods. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: August 28, 2020

2010 chapter

Regularities in Learning Defect Predictors

In Product-Focused Software Process Improvement (pp. 116–130).

By: B. Turhan*, A. Bener* & T. Menzies*

TL;DR: It is shown that bug reports need not necessarily come from the local projects in order to learn defect prediction models and it is demonstrated that using imported data from different sites can make it suitable for predicting defects at the local site. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: August 28, 2020

2010 chapter

Inducing Effective Pedagogical Strategies Using Learning Context Features

In User Modeling, Adaptation, and Personalization (pp. 147–158).

By: M. Chi*, K. VanLehn*, D. Litman* & P. Jordan*

TL;DR: The results show that RL is a feasible approach to induce effective, adaptive pedagogical strategies by using a relatively small training corpus and believe that this approach can be used to develop other adaptive and personalized learning environments. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Source: Crossref
Added: August 28, 2020

2010 chapter

Do Micro-Level Tutorial Decisions Matter: Applying Reinforcement Learning to Induce Pedagogical Tutorial Tactics

In Intelligent Tutoring Systems (pp. 224–234).

TL;DR: Reinforcement Learning was applied to induce two sets of tutorial tactics from pre-existing human interaction data and showed that when the contents were controlled so as to be the same, different pedagogical tutorial tactics would make a difference in learning and more specifically, the NormGain students outperformed their peers. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Source: Crossref
Added: August 28, 2020

2010 journal article

Towards affective camera control in games

User Modeling and User-Adapted Interaction, 20(4), 313–340.

Sources: Crossref, ORCID, NC State University Libraries
Added: August 28, 2020

2010 chapter

Integrating Learning and Engagement in Narrative-Centered Learning Environments

In Intelligent Tutoring Systems (pp. 166–177).

By: J. Rowe n, L. Shores n, B. Mott n & J. Lester n

TL;DR: Findings from a study with human participants are presented that challenges the view that engagement and learning need be opposed and found a strong positive relationship between learning outcomes and increased engagement. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Source: Crossref
Added: August 28, 2020

2010 chapter

Optimizing Story-Based Learning: An Investigation of Student Narrative Profiles

In Intelligent Tutoring Systems (pp. 155–165).

By: S. Lee n, B. Mott n & J. Lester n

TL;DR: In interactive story-based learning supported by beyond-state-of-the-art ITS capabilities, certain student narrative profiles are strongly associated with desirable learning outcomes and the study suggests design decisions for optimizing story- based learning. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Source: Crossref
Added: August 28, 2020

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