Citation and publications

Core Coyote publications

arXiv’25: Coyote v2: Raising the Level of Abstraction for Data Center FPGAs by B. Ramhorst*, D. Korolija*, M. Heer et al. (to appear at SOSP’25)

OSDI’20: Do {OS} abstractions make sense on {FPGAs}? by D. Korolija, T. Roscoe, and G. Alonso.

Projects and papers based on Coyote

HPDC’25: F3: An FPGA-accelerated FaaS Framework by C. Mainas, M. Lambeck, B. Scheufler et al.

ASPLOS’25: TNIC: A Trusted NIC Architecture by D. Giantsidi, J. Pritzi, F. Gust et al.

EuroMLSys’25: Machine Learning-based Deep Packet Inspection at Line Rate for RDMA on FPGAs by Maximilian Heer*, Benjamin Ramhorst*, Gustavo Alonso.

OSDI’24: ACCL+: an FPGA-Based Collective Engine for Distributed Applications by Z. He, D. Korolija, Y. Zhu et al.

ATC’24: vFPIO: A Virtual I/O Abstraction for FPGA-accelerated I/O Devices by J. Chen, H. Unnibhavi, A. Koshiba, and P. Bhatotia.

DAC’23: AccShield: a New Trusted Execution Environment with Machine-Learning Accelerators by W. Ren, W. Kozlowski, S. Koteshwara et al.

VLDB’23: AMNES: Accelerating the computation of data correlation using FPGAs by M. Chiosa, T. Preußer, M. Blott, and Gustavo Alonso.

CIDR’22: Farview: Disaggregated Memory with Operator Off-loading for Database Engines 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 by E. Richter and D. Chen.