Ding Ding

According to our database, Ding Ding authored at least 9 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Photonic Rails in ML Datacenters with Opus.

Eric Ding, Barry Lyu, Bhaskar Kataria, Rachee Singh

CoRR, February, 2026

Reconfigurable Torus Fabrics for Multi-tenant ML.

Abhishek Vijaya Kumar, Eric Ding, Arjun Devraj, Darius Bunandar, Rachee Singh

Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

2025

Propius: A Platform for Collaborative Machine Learning across the Edge and the Cloud.

Eric Ding

CoRR, October, 2025

Morphlux: Programmable chip-to-chip photonic fabrics in multi-accelerator servers for ML.

Abhishek Vijaya Kumar, Eric Ding, Arjun Devraj, Rachee Singh

CoRR, August, 2025

Accelerating AllReduce with a Persistent Straggler.

Arjun Devraj, Eric Ding, Abhishek Vijaya Kumar, Robert Kleinberg, Rachee Singh

CoRR, May, 2025

PIPSwitch: A Circuit Switch Using Programmable Integrated Photonics.

Eric Ding, Rachee Singh

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2025

Venn: Resource Management For Collaborative Learning Jobs.

Jiachen Liu, Fan Lai, Eric Ding, Yiwen Zhang, Mosharaf Chowdhury

Proceedings of the Eighth Conference on Machine Learning and Systems, 2025

Photonic Rails in ML Datacenters.

Eric Ding, Chuhan Ouyang, Rachee Singh

Proceedings of the 24th ACM Workshop on Hot Topics in Networks, 2025

2023

Venn: Resource Management Across Federated Learning Jobs.

Jiachen Liu, Fan Lai, Ding Ding, Yiwen Zhang, Mosharaf Chowdhury

CoRR, 2023