.. _publications:


Citation and publications
=========================

Core Coyote publications
------------------------------------

**arXiv'25:** `Coyote v2: Raising the Level of Abstraction for Data Center FPGAs <https://arxiv.org/abs/2504.21538>`_ by B. Ramhorst*, D. Korolija*, M. Heer et al. (to appear at SOSP'25)

**OSDI'20:** `Do {OS} abstractions make sense on {FPGAs}? <https://www.usenix.org/conference/osdi20/presentation/roscoe>`_ by D. Korolija, T. Roscoe, and G. Alonso.

Projects and papers based on Coyote
-------------------------------------
**HPDC'25:** `F3: An FPGA-accelerated FaaS Framework <https://dse.in.tum.de/wp-content/uploads/2025/06/F3-HPDC-2025.pdf>`_ by C. Mainas, M. Lambeck, B. Scheufler et al.

**ASPLOS'25:** `TNIC: A Trusted NIC Architecture <https://dl.acm.org/doi/abs/10.1145/3676641.3716277>`_ by D. Giantsidi, J. Pritzi, F. Gust et al.

**EuroMLSys'25:** `Machine Learning-based Deep Packet Inspection at Line Rate for RDMA on FPGAs <https://dl.acm.org/doi/abs/10.1145/3721146.3721935>`_ by Maximilian Heer*, Benjamin Ramhorst*, Gustavo Alonso.

**OSDI'24:** `ACCL+: an FPGA-Based Collective Engine for Distributed Applications <https://www.usenix.org/conference/osdi24/presentation/he>`_ by Z. He, D. Korolija, Y. Zhu et al.

**ATC'24:** `vFPIO: A Virtual I/O Abstraction for FPGA-accelerated I/O Devices <https://www.usenix.org/conference/atc24/presentation/chen-jiyang>`_ by J. Chen, H. Unnibhavi, A. Koshiba, and P. Bhatotia.

**DAC'23:** `AccShield: a New Trusted Execution Environment with Machine-Learning Accelerators <https://ieeexplore.ieee.org/document/10247768/>`_ by W. Ren, W. Kozlowski, S. Koteshwara et al.

**VLDB'23:** `AMNES: Accelerating the computation of data correlation using FPGAs <https://dl.acm.org/doi/abs/10.14778/3625054.3625056>`_ by M. Chiosa, T. Preußer, M. Blott, and Gustavo Alonso.

**CIDR'22:** `Farview: Disaggregated Memory with Operator Off-loading for Database Engines <https://www.cidrdb.org/cidr2022/papers/p11-korolija.pdf>`_ by D. Korolija, D. Koutsoukos, K. Keeton et al.

**ICCAD'22:** `Qilin: Enabling Performance Analysis and Optimization of Shared-Virtual Memory Systems with FPGA Accelerators <https://ieeexplore.ieee.org/document/10069799>`_ by E. Richter and D. Chen.