1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.DC2026
Scaling Inference Prefill with High-Radix Photonic Interconnects
Arulselvan Madhavan, Peter Carson, Taylor Groves +1
With the rise of inference as today's dominant AI workload, the industry is transitioning to high-bandwidth photonic interconnects to meet the large scale-up requirements of increa…
cs.LG2023★ 1 cited
INT-FP-QSim: Mixed Precision and Formats For Large Language Models and Vision Transformers
Lakshmi Nair, Mikhail Bernadskiy, Arulselvan Madhavan +3
The recent rise of large language models (LLMs) has resulted in increased efforts towards running LLMs at reduced precision. Running LLMs at lower precision supports resource const…