DEFER: Distributed Edge Inference for Deep Neural Networks. - Arjun Parthasarathy; Bhaskar Krishnamachari (COMSNETS, 2022)

Partitioning and Placement of Deep Neural Networks on Distributed Edge Devices to Maximize Inference Throughput. - Arjun Parthasarathy; Bhaskar Krishnamachari (ITNAC, 2022)

SEIFER: Scalable Edge Inference for Deep Neural Networks. - Arjun Parthasarathy; Bhaskar Krishnamachari (CoRR, 2022)

Partitioning and Deployment of Deep Neural Networks on Edge Clusters. - Arjun Parthasarathy; Bhaskar Krishnamachari (CoRR, 2023)

ThunderKittens: Simple, Fast, and Adorable Kernels. - Benjamin Frederick Spector; Simran Arora; Aaryan Singhal; Arjun Parthasarathy; Daniel Y. Fu; Christopher Ré (ICLR, 2025)