Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Photonic Computing Architectures for Accelerated Artificial Intelligence: A Post-Silicon Paradigm for Energy-Efficient Neural Network Processing

Photonic Computing Architectures for Accelerated Artificial Intelligence: A Post-Silicon Paradigm for Energy-Efficient Neural Network Processing

Pokorny, Laszlo

Paperback

General Computers

Currently unavailable to order

ISBN13: 9798197430755
Publisher: Independently Published
Pages: 278
Weight: 1.43
Height: 0.58 Width: 8.50 Depth: 11.00
Language: English
The exponential growth of artificial intelligence workloads has created an unsustainable trajectory in computational energy consumption, while the deceleration of Moore's Law and breakdown of Dennard scaling constrain electronic hardware from meeting this demand. This dissertation investigates photonic computing as a post-silicon paradigm for energy-efficient neural network processing, evaluating three architectures-Mach-Zehnder interferometer (MZI) mesh processors, micro-ring resonator (MRR) weight banks, and phase-change material (PCM) tensor cores-through a three-phase mixed-methods design. Phase 1 benchmarked four photonic against four electronic AI accelerators, revealing a median energy efficiency advantage of 2.36× (5.19 vs. 2.20 TOPS/W) with a large effect size (Cohen's d = 0.76) and directional support from 89.8% of 10,000 bootstrap resamples. Statistical significance was not achieved (p = .354) owing to 14.9% power in the near-census sample (n = 4 per group), consistent with a Type II error. Phase 2 modeled architectural barriers: silicon MRRs exhibited thermal drift of 100 pm/ C, MZI processors lost >60% accuracy at 3 C deviation, 64×64 meshes required phase error tolerances of σ

Also from

Pokorny, Laszlo

View All

Also in

General Computers

View All