activity
20182022
most citedNNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers

88 citations · 139 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2022★ 19 cited

P4Testgen: An Extensible Test Oracle For P4

Fabian Ruffy, Jed Liu, Prathima Kotikalapudi +7

We present P4Testgen, a test oracle for the P4 language. P4Testgen supports automatic test generation for any P4 target and is designed to be extensible to many P4 targets.…

cs.LG2022★ 88 cited

NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers

Jiawei Liu, Jinkun Lin, Fabian Ruffy +4

Deep-learning (DL) compilers such as TVM and TensorRT are increasingly being used to optimize deep neural network (DNN) models to meet performance, resource utilization and other r…

cs.NI2020★ 7 cited

Gauntlet: Finding Bugs in Compilers for Programmable Packet Processing

Fabian Ruffy, Tao Wang, Anirudh Sivaraman

Programmable packet-processing devices such as programmable switches and network interface cards are becoming mainstream. These devices are configured in a domain-specific language…

cs.LG2019★ 7 cited

The State of Knowledge Distillation for Classification

Fabian Ruffy, Karanbir Chahal

We survey various knowledge distillation (KD) strategies for simple classification tasks and implement a set of techniques that claim state-of-the-art accuracy. Our experiments usi…

cs.NI2018★ 18 cited

Iroko: A Framework to Prototype Reinforcement Learning for Data Center Traffic Control

Fabian Ruffy, Michael Przystupa, Ivan Beschastnikh

Recent networking research has identified that data-driven congestion control (CC) can be more efficient than traditional CC in TCP. Deep reinforcement learning (RL), in particular…