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This repository presents a proof of concept for a hardware-native optical timing-frozen control plane engine that uses fluid dynamics modeling in GPU registers to reduce jitter in optical data centers for distributed AI architectures.
Otters++ is a novel optical spiking Transformer that leverages time-to-first-spike coding and physical hardware decay to achieve energy-efficient inference, achieving 84.17% on GLUE while maintaining a clear energy advantage over prior spiking Transformer baselines.
This paper proposes DxPTA, a novel design space exploration methodology for efficient HW/SW co-design of photonic transformer accelerators that meet area, power, energy, and latency constraints. It achieves up to 15.2x faster searching time than exhaustive approaches, enabling efficient PTA designs for diverse transformer models.