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Magnus Jahre
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Publications
- 2023
- [j15]Shiqing Zhang, Mahmood Naderan-Tahan, Magnus Jahre, Lieven Eeckhout:
Characterizing Multi-Chip GPU Data Sharing. ACM Trans. Archit. Code Optim. 20(4): 56:1-56:24 (2023) - [c38]Xia Zhao, Magnus Jahre, Yuhua Tang, Guangda Zhang, Lieven Eeckhout:
NUBA: Non-Uniform Bandwidth GPUs. ASPLOS (2) 2023: 544-559 - [c35]Björn Gottschall, Lieven Eeckhout, Magnus Jahre:
TEA: Time-Proportional Event Analysis. ISCA 2023: 23:1-23:13 - [c34]Shiqing Zhang, Mahmood Naderan-Tahan, Magnus Jahre, Lieven Eeckhout:
SAC: Sharing-Aware Caching in Multi-Chip GPUs. ISCA 2023: 43:1-43:13 - 2022
- [c32]Xia Zhao, Lieven Eeckhout, Magnus Jahre:
Delegated Replies: Alleviating Network Clogging in Heterogeneous Architectures. HPCA 2022: 1014-1028 - 2021
- [c31]Björn Gottschall, Lieven Eeckhout, Magnus Jahre:
TIP: Time-Proportional Instruction Profiling. MICRO 2021: 15-27 - 2020
- [c30]Xia Zhao, Magnus Jahre, Lieven Eeckhout:
HSM: A Hybrid Slowdown Model for Multitasking GPUs. ASPLOS 2020: 1371-1385 - [c29]Xia Zhao, Magnus Jahre, Lieven Eeckhout:
Selective Replication in Memory-Side GPU Caches. MICRO 2020: 967-980 - [c28]Lu Wang, Magnus Jahre, Almutaz Adileh, Lieven Eeckhout:
MDM: The GPU Memory Divergence Model. MICRO 2020: 1009-1021 - 2019
- [j9]Lu Wang, Magnus Jahre, Almutaz Adileh, Zhiying Wang, Lieven Eeckhout:
Modeling Emerging Memory-Divergent GPU Applications. IEEE Comput. Archit. Lett. 18(2): 95-98 (2019) - 2018
- [c26]Magnus Jahre, Lieven Eeckhout:
GDP: Using Dataflow Properties to Accurately Estimate Interference-Free Performance at Runtime. HPCA 2018: 296-309 - [c25]Yuxi Liu, Xia Zhao, Magnus Jahre, Zhenlin Wang, Xiaolin Wang, Yingwei Luo, Lieven Eeckhout:
Get Out of the Valley: Power-Efficient Address Mapping for GPUs. ISCA 2018: 166-179
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