[1]	P. Balaprakash. Self-aware runtime and operating systems. 2015 ASCR Machine Learning Workshop, January 2015. Invited Talk. [ bib ]
[2]	P. Balaprakash. Automatic performance modeling and tuning. Department of Mathematics, Statistics and Computer Science Colloquium, Marquette University, October 2014. Invited Talk. [ bib ]
[3]	P. Balaprakash. Machine-learning-based load balancing for community ice code component in CESM. 11th International Meeting on High-Performance Computing for Computational Science (VECPAR 2014), July 2014. Conference Talk. [ bib ]
[4]	P. Balaprakash. Active-learning-based surrogate models for empirical performance tuning. Computation Institute, UChicago, February 2014. Computation Institute Talk. [ bib ]
[5]	P. Balaprakash. Active-learning-based surrogate models for empirical performance tuning. 10th workshop of the INRIA-Illinois-ANL Joint Laboratory, November 2013. Invited Talk. [ bib ]
[6]	P. Balaprakash. Multi objective optimization of HPC kernels for performance, power, and energy. 4th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS13), November 2013. Workshop Talk. [ bib ]
[7]	P. Balaprakash. Active-learning-based surrogate models for empirical performance tuning. 2013 IEEE International Conference on Cluster Computing (CLUSTER), September 2013. Conference Talk. [ bib ]
[8]	P. Balaprakash. A sequential learning approach for quantum chemistry simulations. IPAM Chemical Compound Space Reunion, December 2012. Invited Talk. [ bib ]
[9]	P. Balaprakash. SPAPT: Search Problems in Automatic Performance Tuning. Workshop on Tools for Program Development and Analysis in Computational Science, International Conference on Computational Science, ICCS 2012, June 2012. Workshop Talk. [ bib ]
[10]	P. Balaprakash. Efficient optimization algorithms for empirical performance tuning. SIAM Conference on Parallel Processing (SIAM PP 2012), February 2012. Conference Talk. [ bib ]
[11]	P. Balaprakash. Global and local search algorithms in empirical performance tuning. DOE CScADS Workshop on Libraries and Autotuning for Extreme-Scale Systems, August 2011. Invited Talk. [ bib ]
[12]	P. Balaprakash. Can search algorithms save large-scale automatic performance tuning? Workshop on Automatic Performance Tuning, International Conference on Computational Science, ICCS 2011, June 2011. Workshop Talk. [ bib ]
[13]	P. Balaprakash. Comparison of search strategies in empirical performance tuning of linear algebra kernels. 2011 SIAM Conference on Computational Science and Engineering, March 2011. Conference Talk. [ bib ]