Evaluation and enhancement of memory efficiency targeting general-purpose computations on scalable data-parallel GPU architectures
This thesis addresses the memory efficiency of general-purpose applications running on massively multi-threaded, data-parallel GPU architectures. Although scalable, data-parallel GPU architectures and their associated general-purpose programming models offer impressive computational capability and a...
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| Online Access: | http://hdl.handle.net/2047/d20002062 |