SCNN. We propose SparTen which achieves efficient inner join by providing support for native two-sided sparse execution and mem-ory storage. To tackle load imbalance, SparTen employs a software scheme, called greedy balancing, which groups filters by density via two variants, a software-only one which uses whole-filter density

SparTen is a set of C++ tools that provide capabilities for generating sparse count tensor data and computing low-rank canonical polyadic (CP) decompositions.

We propose SparTen which achieves efficient inner join by providing support for native two-sided sparse execution and memory storage. To tackle load imbalance, SparTen employs a software scheme, called greedy balancing, which groups filters by density via two variants, a software-only one which uses whole-filter density and a software-hardware ...

SparTen: A Sparse Tensor Accelerator for Convolutional Neural Networks Publication: MICRO’19. Problem to solve: A recent fully-sparse architecture, called Sparse CNN (SCNN), supports two-sided sparsity to improve performance and energy over dense architectures.

2019年10月12日 · We propose SparTen which achieves efficient inner join by providing support for native two-sided sparse execution and memory storage.

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