Unlocking Credit Loop Deadlocks. - Alexander Shpiner; Eitan Zahavi; Vladimir Zdornov; Tal Anker; Matty Kadosh (HotNets, 2016)

Switch ASIC Programmability in Hybrid Mode. - Yonatan Piasetzky; Matty Kadosh; Marian Pritsak; Omer Shabtai; Alan Lo; Guohan Lu (ICNP, 2018)

Hardware SYN Attack Protection For High Performance Load Balancers. - Reuven Cohen; Matty Kadosh; Alan Lo; Qasem Sayah (HOTI, 2021)

A Vision for Runtime Programmable Networks. - Jiarong Xing; Yiming Qiu; Kuo-Feng Hsu; Hongyi Liu; Matty Kadosh; Alan Lo; Aditya Akella; Thomas Anderson; Arvind Krishnamurthy; T. S. Eugene Ng; Ang Chen 001 (HotNets, 2021)

Runtime Programmable Switches. - Jiarong Xing; Kuo-Feng Hsu; Matty Kadosh; Alan Lo; Yonatan Piasetzky; Arvind Krishnamurthy; Ang Chen 001 (NSDI, 2022)

Algorithmic TCAMs: Implementing Packet Classification Algorithms in Hardware. - Pedro Reviriego; Gil Levy; Matty Kadosh; Salvatore Pontarelli (IEEE Commun. Mag., 2022)

LB Scalability: Achieving the Right Balance Between Being Stateful and Stateless. - Reuven Cohen; Matty Kadosh; Alan Lo; Qasem Sayah (IEEE/ACM Trans. Netw., 2022)

Unleashing SmartNIC Packet Processing Performance in P4. - Jiarong Xing; Yiming Qiu; Kuo-Feng Hsu; Songyuan Sui; Khalid Manaa; Omer Shabtai; Yonatan Piasetzky; Matty Kadosh; Arvind Krishnamurthy; T. S. Eugene Ng; Ang Chen 001 (SIGCOMM, 2023)

Ultima: Robust and Tail-Optimal AllReduce for Distributed Deep Learning in the Cloud. - Ertza Warraich; Omer Shabtai; Khalid Manaa; Shay Vargaftik; Yonatan Piasetzky; Matty Kadosh; Lalith Suresh 001; Muhammad Shahbaz 001 (CoRR, 2023)

On the Protection of a High Performance Load Balancer Against SYN Attacks**This is an extended journal version of [2]. - Reuven Cohen; Matty Kadosh; Alan Lo; Qasem Sayah (IEEE Trans. Cloud Comput., 2023)

Towards Accelerating the Network Performance on DPUs by optimising the P4 runtime. - Dimosthenis Iliadis-Apostolidis; Khalid Manaa; Matty Kadosh; Iacovos Ioannou; Vasos Vassiliou; Sokol Kosta; Juan Jose Vegas Olmos (PDP, 2024)

OptiReduce: Resilient and Tail-Optimal AllReduce for Distributed Deep Learning in the Cloud. - Ertza Warraich; Omer Shabtai; Khalid Manaa; Shay Vargaftik; Yonatan Piasetzky; Matty Kadosh; Lalith Suresh 001; Muhammad Shahbaz 001 (NSDI, 2025)