Data-driven Science

Towards Ontology-Based Program Analysis

(Technical Report No. TR-2016-5). North Carolina State University.

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

(No. TR-2016-3). Raleigh, NC: North Carolina State University.

Towards Ontology-Based Program Analysis

In S. Krishnamurthi & B. S. Lerner (Eds.), 30th European Conference on Object-Oriented Programming (ECOOP 2016) (pp. 26:1–26:25). Dagstuhl, Germany: Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik.

A Software Framework for Efficient Preemptive Scheduling on GPU

(Technical Report No. TR-2016-1). North Carolina State University.

Languages and Compilers for Parallel Computing

In Lecture Notes in Computer Science.

Coherence-Free Multiview

Proceedings of the 2016 International Conference on Supercomputing - ICS '16. Presented at the the 2016 International Conference.

Bayesian Reliability: Combining Information

Quality Engineering, 0–0.

A multi-level anomaly detection algorithm for time-varying graph data with interactive visualization

Social Network Analysis and Mining, 6(1).

Incorporating concomitant medications into genome-wide analyses for the study of complex disease and drug response

Frontiers in Genetics, 7.

Asymptotic analysis of equivalences and core-structures in Kronecker-style graph models

2016 ieee 16th international conference on data mining (icdm), 829–834.

OpenCL-based erasure coding on heterogeneous architectures

Chen, G., Zhou, H., Shen, X., Gahm, J., Venkat, N., Booth, S., & Marshall, J. (2016, July). 2016 IEEE 27th International Conference on Application-Specific Systems, Architectures and Processors (ASAP), Vol. 7, pp. 33–40.

Cross-institutional research cyberinfrastructure for data intensive science

2016 ieee high performance extreme computing conference (hpec).

Tree decompositions and social graphs

Internet Mathematics, 12(5), 315–361.

examining and reducing the influence of sampling errors on feedback-driven optimizations

ACM Transactions on Architecture and Code Optimization, 13(1).

Tuning for software analytics: Is it really necessary?

Information and Software Technology, 76, 135–146.

Use of Bayesian inference in crystallographic structure refinement via full diffraction profile analysis

Scientific Reports, 6.