A very clever part of the HUYGENS algorithm is that it doesn’t just sync clocks pair-wise, it leverages a natural network effect where a group of pair-wise synchronized clocks becomes transitively synchronized, helping reduce errors further without requiring specialized hardware. That’s one of the key reasons it can achieve ~100 nanoseconds of software-based sync on commodity networks.
The authors’ work forms the basis of what the team at Clockwork.io is building, enabling accurate one-way delay measurements (rather than just RTT/2) that improve latency visibility and telemetry across CPU and GPU infrastructure
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A very clever part of the HUYGENS algorithm is that it doesn’t just sync clocks pair-wise, it leverages a natural network effect where a group of pair-wise synchronized clocks becomes transitively synchronized, helping reduce errors further without requiring specialized hardware. That’s one of the key reasons it can achieve ~100 nanoseconds of software-based sync on commodity networks.
The authors’ work forms the basis of what the team at Clockwork.io is building, enabling accurate one-way delay measurements (rather than just RTT/2) that improve latency visibility and telemetry across CPU and GPU infrastructure