6 papers · 1 filter
Opus: Photonic Rail-Optimized Fabric in ML Datacenters
Eric Ding, Barry Lyu, Bhaskar Kataria +1
Rail-optimized network fabrics have become the de facto datacenter scale-out fabric for large-scale ML training. However, the use of high-radix electrical switches to provide all-t…
Stable and Fault-Tolerant Decentralized Traffic Engineering
Arjun Devraj, Umesh Krishnaswamy, Ying Zhang +4
Cloud providers have recently decentralized their wide-area network traffic engineering (TE) systems to contain the impact of TE controller failures. In the decentralized design, a…
Morphlux: Transforming Torus Fabrics for Efficient Multi-tenant ML
Abhishek Vijaya Kumar, Eric Ding, Arjun Devraj +2
We develop Morphlux, a server-scale programmable photonic fabric to interconnect accelerators within servers. We show that augmenting state-of-the-art torus-based ML data-centers w…
Photonic Rails in ML Datacenters
Eric Ding, Chuhan Ouyang, Rachee Singh
Rail-optimized network fabrics have become the de facto datacenter scale-out fabric for large-scale ML training. However, the use of high-radix electrical switches to provide all-t…
Chip-to-chip photonic connectivity in multi-accelerator servers for ML
Abhishek Vijaya Kumar, Arjun Devraj, Darius Bunandar +1
We present a rack-scale compute architecture for ML using multi-accelerator servers connected via chip-to-chip silicon photonic components. Our architecture achieves (1) multi-tena…
PipSwitch: A Circuit Switch Using Programmable Integrated Photonics
Eric Ding, Rachee Singh
We present an optical circuit switch design for programmable integrated photonics (PIPs). Our solution finds the correct and optimal set of matchings that provides all-to-all netwo…