Data-driven Science

Modeling Relations Between Inputs and Dynamic Behavior for General Programs

(No. WM-CS-2007-07). Williamsburg, VA: Computer Science Department, The College of William and Mary.

CAPS: Contention-Aware Proactive Scheduling for CMPs

(Technical Report No. WM-CS-2007-09). Computer Science Department, The College of William and Mary.

Study of the Effects of Program Inputs on Co-Scheduling

(Technical Report No. WM-CS-2007-13). Computer Science Department, The College of William and Mary.

A Hybrid Framework Bridging Locality Analysis and Cache-Aware Scheduling for CMPs

(Technical Report No. WM-CS-2007-01). Computer Science Dept., The College of William and Mary.

Miss Rate Prediction Across Program Inputs and Cache Configurations

IEEE Transactions on Computers, 56(3), 328–343.

Predicting locality phases for dynamic memory optimization

Journal of Parallel and Distributed Computing, 67(7), 783–796.

Locality approximation using time

Proceedings of the 34th annual ACM SIGPLAN-SIGACT symposium on Principles of programming languages - POPL '07. Presented at the the 34th annual ACM SIGPLAN-SIGACT symposium.

Software behavior oriented parallelization

Proceedings of the 2007 ACM SIGPLAN conference on Programming language design and implementation - PLDI '07. Presented at the the 2007 ACM SIGPLAN conference.

Bayesian networks for multilevel system reliability

Reliability Engineering and System Safety, 92(10), 1413–1420.

Information integration for complex systems

Reliability Engineering and System Safety, 92(1), 121–130.

Bayesian stockpile reliability methodology for complex systems

Military Operations Research, 12(2), 25–37.