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个人简介
The primary research questions I am interested in are: (i) how can compiler technology best exploit the potential of high performance heterogeneous architectures (ii) how can we best design high performance heterogeneous to meet emerging applications.
My research interests include:
Heterogeneous code discovery and optimisation. I am interested in how we can use constraint analysis to discover code patterns that match heterogeneous hardware.
Auto-parallelising compilers. I am currently investigating the use of dynamic, probabilistic analysis in conjunction with machine learning to develop a new approach that gives future proof scalable code for multi-cores.
GPGPU multi-core platforms. I am interested in how we can use smart compiler analysis and adaptation to exploit the potential of such architectures for compute and graphics workloads.
Machine learning based optimisation. I'm interested in how predictive modelling and feature generation can be used to automate the design of compilers
Compiler/Architecure co-design space exploration. We are investigating the use of predictive models to predict the best compiler optimisations for any architecture
Very High level programming languages. I am interested in how languages such as Matlab, which provide great expressive power may be implemented on multi-cores
研究兴趣
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semanticscholar(2017)
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