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Otters++: A Time-to-first-spike Based Energy Efficient Optical Spiking Transformer

arXiv cs.AI · 2026-06-12 Cached

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.

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#optical-computing

DxPTA: An Architecture Design Space Exploration with Optical Dataflow-guided Strategy for HW/SW Co-Design of Photonic Transformer Accelerators

arXiv cs.AI · 2026-06-08 Cached

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.

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