OPIMA: Optical Processing-In-Memory for Convolutional Neural Network Acceleration
Recent advances in machine learning (ML) have spotlighted the pressing need for
computing architectures that bridge the gap between memory bandwidth and processing …
computing architectures that bridge the gap between memory bandwidth and processing …
Accelerating Neural Networks for Large Language Models and Graph Processing with Silicon Photonics
In the rapidly evolving landscape of artificial intelligence., large language models (LLMs)
and graph processing have emerged as transformative technologies for natural language …
and graph processing have emerged as transformative technologies for natural language …
Silicon Photonic 2.5 D Interposer Networks for Overcoming Communication Bottlenecks in Scale-out Machine Learning Hardware Accelerators
Modern machine learning (ML) applications are becoming increasingly complex and
monolithic (single chip) accelerator architectures cannot keep up with their energy efficiency …
monolithic (single chip) accelerator architectures cannot keep up with their energy efficiency …