Paper detail

HERMES: A Hierarchical Broadcast-Based Silicon Photonic Interconnect for Scalable Many-Core Systems

Optical interconnection networks, as enabled by recent advances in silicon photonic device and fabrication technology, have the potential to address on-chip and off-chip communication bottlenecks in many-core systems. Although several designs have shown superior power efficiency and performance compared to electrical alternatives, these networks will not scale to the thousands of cores required in the future. In this paper, we introduce Hermes, a hybrid network composed of an optimized broadcast for power-efficient low-latency global-scale coordination and circuit-switch sub-networks for high-throughput data delivery. This network will scale for use in thousand core chip systems. At the physical level, SoI-based adiabatic coupler has been designed to provide low-loss and compact optical power splitting. Based on the adiabatic coupler, a topology based on 2-ary folded butterfly is designed to provide linear power division in a thousand core layout with minimal cross-overs. To address the network agility and provide for efficient use of optical bandwidth, a flow control and routing mechanism is introduced to dynamically allocate bandwidth and provide fairness usage of network resources. At the system level, bloom filter-based filtering for localization of communication are designed for reducing global traffic. In addition, a novel greedy-based data and workload migration are leveraged to increase the locality of communication in a NUCA (non-uniform cache access) architecture. First order analytic evaluation results have indicated that Hermes is scalable to at least 1024 cores and offers significant performance improvement and power savings over prior silicon photonic designs.

preprint2014arXivOpen access

Signal facts

What is known right now

Open access4 authors1 topic

Next steps

Decide what to do with this paper

Use like or dislike for the fast social read. The more specific scholarly feedback stays available below when needed.

Log in to curate

Reading frame

Keep the important context close to the paper

Keep the important signals around this paper in one place: votes, save state, collection context, reviews and the metadata you need before deciding what to do next.

Institutions

Add specific reaction

Move through the context

Research map

Open full explorer

Move through nearby people, institutions, topics and adjacent work without leaving the paper page.

Building this map preview

BZPEER is loading the nearby papers, people, topics and institutions for this page.

Structured reviews

0 review(s)

ContributeLeave structured feedbackUse the review template when you have a concrete strength, concern or method question.Open review form

No structured reviews yet. High-signal critique starts here.

Work discussion

0 comment(s)

DiscussAdd a high-signal commentKeep quick notes, caveats and replication pointers separate from formal reviews.Open comment form

No discussion yet. The first strong comment sets the tone.