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A machine learning approach to mapping streaming workloads to dynamic multicore processors., , and . LCTES, page 113-122. ACM, (2016)High performance stencil code generation with lift., , , , and . CGO, page 100-112. ACM, (2018)Strategy Preserving Compilation for Parallel Functional Code., , , and . CoRR, (2017)Dynamic microarchitectural adaptation using machine learning., , and . TACO, 10 (4): 31:1-31:28 (2013)Selecting Heterogeneous Cores for Diversity., , and . TACO, 13 (4): 49:1-49:25 (2016)Microarchitectural Design Space Exploration Using an Architecture-Centric Approach., , and . MICRO, page 262-271. IEEE Computer Society, (2007)Automatic performance model construction for the fast software exploration of new hardware designs., , , , , , and . CASES, page 24-34. ACM, (2006)Compiling a high-level language for GPUs: (via language support for architectures and compilers)., , , , and . PLDI, page 1-12. ACM, (2012)A Composable Array Function Interface for Heterogeneous Computing in Java., , and . ARRAY@PLDI, page 44-49. ACM, (2014)Exploring and predicting the architecture/optimising compiler co-design space., , and . CASES, page 31-40. ACM, (2008)