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SALO: An Efficient Spatial Accelerator Enabling Hybrid Sparse Attention Mechanisms for Long Sequences.

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Title: SALO: An Efficient Spatial Accelerator Enabling Hybrid Sparse Attention Mechanisms for Long Sequences.
Authors: Shen, Guan1, shenguan@sjtu.edu.cn, Zhao, Jieru1, zhao-jieru@sjtu.edu, Chen, Quan1, chen-quan@cs.sjtu.edu.cn, Leng, Jingwen1, leng-jw@cs.sjtu.edu.cn, Li, Chao1, lichao@cs.sjtu.edu.cn, Guo, Minyi1, guo-my@cs.sjtu.edu.cn
Source: DAC: Annual ACM/IEEE Design Automation Conference; 2022, Issue 59, p571-576, 6p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
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PubType: Conference
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  Data: SALO: An Efficient Spatial Accelerator Enabling Hybrid Sparse Attention Mechanisms for Long Sequences.
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  Data: <searchLink fieldCode="AU" term="%22Shen%2C+Guan%22">Shen, Guan</searchLink><relatesTo>1</relatesTo>, <i>shenguan@sjtu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Zhao%2C+Jieru%22">Zhao, Jieru</searchLink><relatesTo>1</relatesTo>, <i>zhao-jieru@sjtu.edu</i><br /><searchLink fieldCode="AU" term="%22Chen%2C+Quan%22">Chen, Quan</searchLink><relatesTo>1</relatesTo>, <i>chen-quan@cs.sjtu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Leng%2C+Jingwen%22">Leng, Jingwen</searchLink><relatesTo>1</relatesTo>, <i>leng-jw@cs.sjtu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Li%2C+Chao%22">Li, Chao</searchLink><relatesTo>1</relatesTo>, <i>lichao@cs.sjtu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Guo%2C+Minyi%22">Guo, Minyi</searchLink><relatesTo>1</relatesTo>, <i>guo-my@cs.sjtu.edu.cn</i>
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        Value: 10.1145/3489517.3530504
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      – Code: eng
        Text: English
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        PageCount: 6
        StartPage: 571
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      – TitleFull: SALO: An Efficient Spatial Accelerator Enabling Hybrid Sparse Attention Mechanisms for Long Sequences.
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            NameFull: Shen, Guan
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            NameFull: Zhao, Jieru
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            NameFull: Chen, Quan
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            NameFull: Leng, Jingwen
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            NameFull: Li, Chao
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            NameFull: Guo, Minyi
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            – D: 01
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              Text: 2022
              Type: published
              Y: 2022
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              Value: 59
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