Don't Stall Me Now: Hiding Memory Latency in eBPF
Farbod Shahinfar, Marco Molè, Aurojit Panda, Gianni Antichi
2026年份
摘要
eBPF has emerged as a popular platform for building high-performance I/O programs. However, eBPF's programming model limits the use of commonly used performance optimizations, leaving programs vulnerable to cache-miss-induced performance overheads. Specifically, the programming model restricts the choice of data structures used by a program, thus limiting the programmers' ability to improve data locality. Furthermore, it also makes it hard for programmers to overlap computation with data movement.
问问这篇 Paper
问问你的智能体。
Lune 读过与它相关的顶会 Paper,每个回答都会注明依据哪几篇。
相关 Paper
- HyperCom: Enabling High Performance and Composable Data Structures for Software Network Functions with eBPFBin Yang, Dian Shen, Hanlin Yang, Lunqi Zhao 等INFOCOM 2025
- eNetSTL: Towards an In-kernel Library for High-Performance eBPF-based Network FunctionsBin Yang, Dian Shen, Junxue Zhang, Hanlin Yang 等EuroSys 2025 · 被引用 9 次
- hXDP: Efficient Software Packet Processing on FPGA NICsMarco Spaziani Brunella, Giacomo Belocchi, Marco Bonola, Salvatore Pontarelli 等OSDI 2020 · 被引用 25 次
- FetchBPF: Customizable Prefetching Policies in Linux with eBPFXuechun Cao, Shaurya Patel, Soo-Yee Lim, Xueyuan Han 等USENIX ATC 2024 · 被引用 24 次
- Electrode: Accelerating Distributed Protocols with eBPFYang Zhou, Zezhou Wang, Sowmya Dharanipragada, Minlan YuNSDI 2023 · 被引用 78 次
