Graham Gobieski

PhD in the Computer Science Department.

Personal webpage.

Co-advised with Brandon Lucia.

Graham graduated in Summer’22 and then became Chief Technology Officer at EfficientAI, a startup commercializing his dissertation work.

CORGi Projects

Energy-Minimal Programmable Architectures for Intelligence Beyond the Edge

CORGi Publications

MANIC: A 19µW @ 4MHz, 256 MOPS/mW, RISC-V Microcontroller with Embedded MRAM Main Memory and Vector-Dataflow Co-Processor in 22nm Bulk FinFET CMOS [pdf]

Graham Gobieski, Oguz Atli, Cagri Erbagci, Ken Mai, Nathan Beckmann, Brandon Lucia. ISCAS 2023.
Project: Energy-Minimal Programmable Architectures for Intelligence Beyond the Edge

RipTide: A programmable, energy-minimal dataflow compiler and architecture [pdf]

Graham Gobieski, Souradip Ghosh, Marijn Heule, Todd Mowry, Tony Nowatzki, Nathan Beckmann, Brandon Lucia. MICRO 2022.
Project: Energy-Minimal Programmable Architectures for Intelligence Beyond the Edge

SNAFU: An Ultra-Low-Power, Energy-Minimal CGRA-Generation Framework and Architecture [pdf]

Graham Gobieski, Oguz Atli, Ken Mai, Brandon Lucia, Nathan Beckmann. ISCA 2021.
Project: Energy-Minimal Programmable Architectures for Intelligence Beyond the Edge

MANIC: An Energy-Efficient Architecture for Ultra-Low-Power Embedded Systems [pdf]

Graham Gobieski, Amolak Nagi, Nathan Serafin, Mehmet Meric Isgenc, Nathan Beckmann, Brandon Lucia. MICRO 2019.
Project: Energy-Minimal Programmable Architectures for Intelligence Beyond the Edge

Intelligence Beyond the Edge: Inference on Intermittent Embedded Systems [pdf]

Graham Gobieski, Brandon Lucia, Nathan Beckmann. ASPLOS 2019.
Project: Energy-Minimal Programmable Architectures for Intelligence Beyond the Edge

Intermittent Deep Neural Network Inference [pdf]

Graham Gobieski, Nathan Beckmann, Brandon Lucia. SysML 2018.
Project: Energy-Minimal Programmable Architectures for Intelligence Beyond the Edge