Items where Author is "Chennupati, Gopinath"

Book Section

Azad, R. Muhammad Atif and Chennupati, Gopinath and Ryan, Conor (2015) On the Automatic Generation of Efficient Parallel Iterative Sorting Algorithms. In: GECCO '15: Proceedings of the 17th international conference on Genetic and evolutionary computation companion. ACM. ISBN 978-1-4503-3488-4/15/07

Azad, R. Muhammad Atif and Chennupati, Gopinath and Ryan, Conor (2015) Performance Optimization of Multi-Core Grammatical Evolution Generated Parallel Recursive Programs. In: GECCO '15: Proceedings of the 17th international conference on Genetic and evolutionary computation. ACM, Madrid, Spain. ISBN 978-1-4503-3472-3

Azad, R. Muhammad Atif and Chennupati, Gopinath and Ryan, Conor (2015) Automatic Evolution of Parallel Recursive Programs. In: Proceedings of 18th European Conference on Genetic Programming (EuroGP 2015). Springer, Theoretical Computer Science and General Issues, pp. 167-178. ISBN 978-3-319-16500-4

Azad, R. Muhammad Atif and Chennupati, Gopinath and Ryan, Conor (2015) Automatic Evolution of Parallel Sorting Programs on Multi-cores. In: Proceedings of 18th European Conference on the Applications of Evolutionary Computation. Theoretical Computer Science and General Issues, 9028 . Springer, pp. 706-717. ISBN 978-3-319-16548-6

Azad, R. Muhammad Atif and Chennupati, Gopinath and Ryan, Conor (2015) Synthesis of Parallel Iterative Sorts with Multi-Core Grammatical Evolution. In: GECCO 2015 5th Workshop on Evolutionary Computation for the Automated Design of Algorithms (ECADA'15). ACM, pp. 1059-1066. ISBN 978-1-4503-3488-4/15/07

Azad, R. Muhammad Atif and Chennupati, Gopinath and Ryan, Conor (2014) Multi-core GE: Automatic Evolution of CPU Based Multi-core Parallel Programs. In: GECCO '14 Companion: Proceeding of the sixteenth annual conference companion on Genetic and Evolutionary Computation Conference, GECCO '14. ACM, pp. 1041-1044. ISBN 978-1-4503-2662-9

Azad, R. Muhammad Atif and Chennupati, Gopinath and Ryan, Conor (2014) Predict the Performance of GE with an ACO Based Machine Learning Algorithm. In: GECCO '14 Companion: Proceeding of the sixteenth annual conference companion on Genetic and Evolutionary Computation Conference, GECCO '14. ACM, pp. 1353-1360. ISBN 978-1-4503-2881-4/14/07

Azad, R. Muhammad Atif and Chennupati, Gopinath and Ryan, Conor (2014) Predict the Success or Failure of an Evolutionary Algorithm Run. In: The proceedings of Genetic and Evolutionary Computation Conference, GECCO '14. ACM, pp. 131-132. ISBN 978-1-4503-2881-4/14/07