Joonmoo Huh and James Tuck. Improving the Effectiveness of Searching for Isomorphic Chains in Superword Level Parallelism. IEEE/ACM International Symposium on Microarchitecture (MICRO-50), Oct. 14-18, 2017, Boston, MA.
Rajesh Vanka and James Tuck. Efficient and Accurate Data Dependence Profiling Using Software Signatures, International Symposium on Code Generation and Optimization, April 2012. (pdf, ppt)
Laxman Sole, Techniques to Improve the Usability of Software Signature Based Data Dependence Profilers for Feedback Driven Optimizations, NCSU MS Thesis, 2017.
Apoorv Parle, Heuristics Assisted Set Based Data Dependence Profiling, NCSU MS Thesis, May 2016. (pdf)
David Mabe, A Bottom-Up SLP Vectorization Pass Starting from Associative Reduction Chains Implemented in LLVM, NCSU MS Thesis, May 2015. (pdf)
Rajesh Vanka, Set-based Data Dependence Profiling, NCSU PhD Thesis, May 2013. (pdf)
Laxman Sole, Accuracy Prediction of Signature-based Data Dependence Profilers, May 2016.
Rajesh Vanka. Efficient Data Dependence Profiling for Speculative Load Hoisting, SRC Poster Session at PLDI, 2011. (pdf)