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Effective use of the PGAS Paradigm: Driving Transformations and Self-Adaptive Behavior in DASH-Applications.CoRR, (2016)DASH: Data Structures and Algorithms with Support for Hierarchical LocalityEuro-Par 2014: Parallel Processing Workshops - Euro-Par 2014 International Workshops, Porto, Portugal, August 25-26, 2014, Revised Selected Papers, Part II, page 542–552. (2014)Leveraging MPI-3 Shared-Memory Extensions for Efficient PGAS Runtime Systems.Euro-Par, volume 9233 of Lecture Notes in Computer Science, page 373–384. Springer, (2015)Agricultural reform: more efficient farming using advanced parallel refactoring toolsParallel, Distributed and Network-Based Processing (PDP), 2014 22nd Euromicro International Conference on, page 36--43. IEEE, (2014)Performance Evaluation of Unified Parallel C for Molecular Dynamics.CoRR, (2016)Agricultural Reform: More Efficient Farming Using Advanced Parallel Refactoring Tools.PDP, page 36-43. IEEE Computer Society, (2014)DART-MPI: An MPI-based Implementation of a PGAS Runtime SystemProceedings of the 8th International Conference on Partitioned Global Address Space Programming Models, PGAS 2014, Eugene, OR, USA, October 6-10, 2014, page 3. (2014)An Adaptive Load-balancer for Task-scheduling in FastFlowProceedings of the 5th International Conference on Advanced Communications and Computation, (2015)Evaluation of FastFlow Technology for Real-World ApplicationSustained Simulation Performance 2013, Springer, (2013)An adaptive load-balancing task-scheduler for FastFlowProceedings of International Conference on Advanced Communications and Computation (INFOCOMP 2015), page 6-12. IARIA, (June 2015)