Reconfigurable Virtual Memory for FPGA-Driven I/O
Joshua Landgraf, Matthew Giordano, Esther Yoon, Christopher J. Rossbach
2023年份
11被引次数
8顶会引用
摘要
FPGAs are increasingly used to accelerate modern applications, and cloud providers offer FPGA platforms on-demand with a variety of FPGAs, I/O peripherals, and memory options. FPGA vendors expose I/O with low-level interfaces that limit application portability. Current approaches to abstracting these interfaces trade level of abstraction against performance.
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- Barre Chord: Efficient Virtual Memory Translation for Multi-Chip-Module GPUsYuan Feng, Seonjin Na, Hyesoon Kim, Hyeran JeonISCA 2024 · 被引用 20 次
- Coyote v2: Raising the Level of Abstraction for Data Center FPGAsBenjamin Ramhorst, Dario Korolija, Maximilian Jakob Heer, Jonas Dann 等SOSP 2025 · 被引用 6 次
- vFPIO: A Virtual I/O Abstraction for FPGA-accelerated I/O DevicesJiyang Chen, Harshavardhan Unnibhavi, Atsushi Koshiba, Pramod BhatotiaUSENIX ATC 2024 · 被引用 4 次
- Harmonia: A Unified Framework for Heterogeneous FPGA Acceleration in the CloudLuyang Li, Heng Pan, Xinchen Wan, Kai Lv 等ASPLOS 2025 · 被引用 3 次
- Velosiraptor: Code Synthesis for Memory TranslationReto Achermann, Em Chu, Ryan Mehri, Ilias Karimalis 等ASPLOS 2025 · 被引用 3 次
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