Scholar
Nathaniel Pinckney
Google Scholar ID: v4Nb6ooAAAAJ
NVIDIA
Citations & Impact
Citations
2,056
H-index
18
i10-index
26
Publications
20
Co-authors
17
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Publications include 'Simba: Scaling Deep-Learning Inference with Multi-Chip-Module-Based Architecture' and others.
Research Experience
- Prior to joining the University of Michigan, he worked at Sun Microsystems’ VLSI research group. He now works at NVIDIA as a Senior Research Scientist.
Education
- PhD in Electrical Engineering, 2015, University of Michigan; MS in Electrical Engineering, 2012, University of Michigan; BS in Engineering, 2008, Harvey Mudd College.
Background
- Interests: High-Level Synthesis, Low-Power Digital Design, Near-Threshold Circuits, VLSI Methodology. Background: Nathaniel Pinckney is a research scientist who has authored or coauthored over 30 publications in the areas of low-power VLSI design and cryptographic accelerators.
