Gregory Kielian

Gregory Kielian

Gregory Kielian is a lead of a multidisciplinary team at Google Research, bringing the power of transformers and large language models (LLMs) to edge-hardware. His team explores hardware-software co-design of novel ML architectures, datasets, transformer-training techniques, efficient algorithms, as well as exploration into of the realm of EdgeLLM ASICs. By paving the way for LLMs to efficiently operate locally on edge-devices, Kielian's team aims to unlock a new era of possibilities and real-time interaction with locally-intelligent machines.
Authored Publications
Sort By
  • Title
  • Title, descending
  • Year
  • Year, descending
    Google
Open Se Cura: First Silicon Results of an Auditable and Transparent Hardware Root of Trust System using Open EDA in 16-nm
Guanchen Tao
Ming-Hung Chen
Bangfei Pan
Kai Yick
Dennis Sylvester
Mehdi Saligane
IEEE Solid-State Circuits Magazine, 16(2024), pp. 58-66
Open Se Cura: First Silicon Results of an Auditable and Transparent Hardware Root of Trust System using Open EDA in 16-nm
Guanchen Tao
Ming-Hung Chen
Bangfei Pan
Kai Yick
Dennis Sylvester
Mehdi Saligane
IEEE Solid-State Circuits Magazine, 16(2024), pp. 58-66
ConSmax: Hardware-Friendly Alternative Softmax with Learnable Parameters
Shiwei Liu
Guanchen Tao
Yifei Zou
Derek Chow
Zichen Fan
Kauna Lei
Bangfei Pan
Dennis Sylvester
Mehdi Saligane
Arxiv (2024)
Human Language to Analog Layout Using Glayout Layout Automation
Ali Hammoud
Chetanya Goyal
Sakib Pathen
Arlene Dai
Anhang Li
Mehdi Saligane
2024
Reinforcement Learning-Enhanced Cloud-Based Open Source Analog Circuit Generator for Standard and Cryogenic Temperatures in 130-nm and 180-nm OpenPDKs
Ali Hammoud
Anhang Li
Ayushman Tripathi
Wen Tian
Harsh Khandeparkar
Ryan Wans
Boris Murmann
Dennis Sylvester
Mehdi Saligane
2024