3 papers
cs.LG2025
A Parallel Alternative for Energy-Efficient Neural Network Training and Inferencing
Sudip K. Seal, Maksudul Alam, Jorge Ramirez +2
Energy efficiency of training and inferencing with large neural network models is a critical challenge facing the future of sustainable large-scale machine learning workloads. This…
cs.ET2024
The Unlikely Hero: Nonideality in Analog Photonic Neural Networks as Built-in Defender Against Adversarial Attacks
Haotian Lu, Ziang Yin, Partho Bhoumik +3
Electronic-photonic computing systems have emerged as a promising platform for accelerating deep neural network (DNN) workloads. Major efforts have been focused on countering hardw…
cs.ET2024
DOCTOR: Dynamic On-Chip Temporal Variation Remediation Toward Self-Corrected Photonic Tensor Accelerators
Haotian Lu, Sanmitra Banerjee, Jiaqi Gu
Photonic computing has emerged as a promising solution for accelerating computation-intensive artificial intelligence (AI) workloads, offering unparalleled speed and energy efficie…