Proposed Work This work aims to enable efficient dynamic memory management on NVIDIA GPUs by utilizing a suballocator between CUDA and the programmer This work enables ManyTask Computing applications which need to dynamically allocate parameters for each task to run efficiently on GPUs ID: 481491
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