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Sparse-on-Dense: Area and Energy-Efficient Computing of Sparse Neural Networks on Dense Matrix Multiplication Accelerators

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Published in:ArXiv cs.AR Recent Papers
Format: Online Article RSS Article
Published: 2026
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container_title ArXiv cs.AR Recent Papers
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spellingShingle Sparse-on-Dense: Area and Energy-Efficient Computing of Sparse Neural Networks on Dense Matrix Multiplication Accelerators
ArXiv cs.AR Recent Papers
Chemical Engineering
Engineering & Technology
sub_discipline_display Chemical Engineering
sub_discipline_facet Chemical Engineering
subject_display ArXiv cs.AR Recent Papers
Chemical Engineering
Engineering & Technology
ArXiv cs.AR Recent Papers
Chemical Engineering
Engineering & Technology
subject_facet ArXiv cs.AR Recent Papers
Chemical Engineering
Engineering & Technology
title Sparse-on-Dense: Area and Energy-Efficient Computing of Sparse Neural Networks on Dense Matrix Multiplication Accelerators
title_auth Sparse-on-Dense: Area and Energy-Efficient Computing of Sparse Neural Networks on Dense Matrix Multiplication Accelerators
title_full Sparse-on-Dense: Area and Energy-Efficient Computing of Sparse Neural Networks on Dense Matrix Multiplication Accelerators
title_fullStr Sparse-on-Dense: Area and Energy-Efficient Computing of Sparse Neural Networks on Dense Matrix Multiplication Accelerators
title_full_unstemmed Sparse-on-Dense: Area and Energy-Efficient Computing of Sparse Neural Networks on Dense Matrix Multiplication Accelerators
title_short Sparse-on-Dense: Area and Energy-Efficient Computing of Sparse Neural Networks on Dense Matrix Multiplication Accelerators
title_sort sparse-on-dense: area and energy-efficient computing of sparse neural networks on dense matrix multiplication accelerators
topic ArXiv cs.AR Recent Papers
Chemical Engineering
Engineering & Technology
url https://arxiv.org/abs/2604.26587v1