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职业迁徙
个人简介
I am Co-Director of the Centre for Doctoral Training in Pervasive Parallelism, and a former Director of the Institute for Computing Systems Architecture (ICSA), where I work in the Compiler and Architecture Design Group.
I am Edinburgh PI on the EPSRC funded "Discovery" project, investigating Pattern Discovery and Program Shaping for Heterogeneous Manycore Systems, in collaboration with the University of St Andrews.
Research summary
My research interests are in parallel programming models, emphasising approaches which exploit skeletons to package and optimize well known patterns of computation and interaction as parallel programming abstractions.
Many parallel programs can be expressed as instances of more generic patterns of parallelism, such as pipelines, stencils, wavefronts and divide-and-conquer. Providing a skeleton API simplifies programming: the programmer only has to write code which customizes selected skeletons to the application. This also makes the resulting programs more performance portable: the compiler and/or run-time can exploit structural information provided by the skeleton to choose the best implementation strategy for a range of underlying architectures, from GPU, through manycore, and on to large heterogeneous clusters.
Opportunities for research in this area include the full integration of skeletons into the language and compilation process, dynamic optimization of skeletons for diverse heterogeneous systems, the extension of skeleton approaches to applications which are not quite skeleton instances, the automatic discovery of new (and old) skeletons in existing applications, and the design and implementation of skeleton languages in domain-specific contexts.
I am Edinburgh PI on the EPSRC funded "Discovery" project, investigating Pattern Discovery and Program Shaping for Heterogeneous Manycore Systems, in collaboration with the University of St Andrews.
Research summary
My research interests are in parallel programming models, emphasising approaches which exploit skeletons to package and optimize well known patterns of computation and interaction as parallel programming abstractions.
Many parallel programs can be expressed as instances of more generic patterns of parallelism, such as pipelines, stencils, wavefronts and divide-and-conquer. Providing a skeleton API simplifies programming: the programmer only has to write code which customizes selected skeletons to the application. This also makes the resulting programs more performance portable: the compiler and/or run-time can exploit structural information provided by the skeleton to choose the best implementation strategy for a range of underlying architectures, from GPU, through manycore, and on to large heterogeneous clusters.
Opportunities for research in this area include the full integration of skeletons into the language and compilation process, dynamic optimization of skeletons for diverse heterogeneous systems, the extension of skeleton approaches to applications which are not quite skeleton instances, the automatic discovery of new (and old) skeletons in existing applications, and the design and implementation of skeleton languages in domain-specific contexts.
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Proceedings of the ACM International Conference on Parallel Architectures and Compilation Techniques (2020)
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