SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication
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- SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication
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![cover image ACM Conferences](/cms/asset/82db89b7-bd99-4844-b627-ad60fd85c042/3583780.cover.jpg)
- General Chairs:
- Ingo Frommholz,
- Frank Hopfgartner,
- Mark Lee,
- Michael Oakes,
- Program Chairs:
- Mounia Lalmas,
- Min Zhang,
- Rodrygo Santos
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Association for Computing Machinery
New York, NY, United States
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- Research-article
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- The Korea government (Ministry of Science and ICT)
- Samsung Electronics Co., Ltd
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