Area of research
Electrical and Electronic Engineering · Hardware and Architecture
Research interest
Research interests include Advanced Memory and Neural Computing, Embedded Systems Design Techniques, Ferroelectric and Negative Capacitance Devices, and CCD and CMOS Imaging Sensors.
Onyx: A 12nm 756 GOPS/W Coarse-Grained Reconfigurable Array for Accelerating Dense and Sparse Applications
Onyx: A Programmable Accelerator for Sparse Tensor Algebra
A compute-in-memory chip based on resistive random-access memory
33.1 A 74 TMACS/W CMOS-RRAM Neurosynaptic Core with Dynamically Reconfigurable Dataflow and In-situ Transposable Weights for Probabilistic Graphical Models
A 0.32–128 TOPS, Scalable Multi-Chip-Module-Based Deep Neural Network Inference Accelerator With Ground-Referenced Signaling in 16 nm
Timeloop: A Systematic Approach to DNN Accelerator Evaluation
MAGNet: A Modular Accelerator Generator for Neural Networks