Computing at the speed of light
AARUNI X is researching alternative compute architectures beyond traditional silicon scaling limits. We explore photonic and optical system designs as conceptual pathways for high-throughput AI computation.
Refractive computing architecture
Investigating how computation could be represented through optical and photonic systems.
Traditional electronic architectures face thermal and scaling constraints under large-scale AI workloads. We study alternative approaches, including optical and photonic computation, as conceptual directions for reducing energy and interconnect bottlenecks.
We are exploring new approaches to compute architecture design, with a focus on scalability, efficiency, and future AI infrastructure systems.
CONCEPTUAL ARCHITECTURE NOTES
AI workload modeling research
Conceptual performance studies
Early-stage modeling
System-level exploration
Optical routing is being studied as a potential mechanism for parallel computation in future photonic systems, particularly for matrix-heavy AI workloads.
Photonic and optical approaches are being evaluated for their potential to reduce energy transfer losses and thermal constraints in future compute architectures.
We are exploring how neural network structures could be mapped onto non-traditional compute substrates, including optical representations.
Research Inquiry
Submit interest in compute architecture exploration
We are engaging in early-stage research conversations around future compute systems.