Kalhan Koul

CHIMERA: A 0.92-TOPS, 2.2-TOPS/W Edge AI Accelerator With 2-MByte On-Chip Foundry Resistive RAM for Efficient Training and Inference

Kartik Prabhu, Albert Gural, Zainab F. Khan et al. · IEEE Journal of Solid-State Circuits · 2022 · 60 citations

Engineering, Machine Learning, Hardware Algorithm +17

CHIMERA: A 0.92 TOPS, 2.2 TOPS/W Edge AI Accelerator with 2 MByte On-Chip Foundry Resistive RAM for Efficient Training and Inference

Massimo Giordano, Kartik Prabhu, Kalhan Koul et al. · 2021 · 48 citations

Engineering, Machine Learning, Hardware Algorithm +16

AHA: An Agile Approach to the Design of Coarse-Grained Reconfigurable Accelerators and Compilers

Kalhan Koul, Jackson Melchert, Kavya Sreedhar et al. · ACM Transactions on Embedded Computing Systems · 2022 · 32 citations

Engineering, Compiler Technology, Computer Architecture +20

Amber: A 367 GOPS, 538 GOPS/W 16nm SoC with a Coarse-Grained Reconfigurable Array for Flexible Acceleration of Dense Linear Algebra

Alex Carsello, Kathleen Feng, Taeyoung Kong et al. · 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits) · 2022 · 21 citations

Engineering, Machine Learning, Hardware Algorithm +18

Amber: A 16-nm System-on-Chip With a Coarse- Grained Reconfigurable Array for Flexible Acceleration of Dense Linear Algebra

Kathleen Feng, Taeyoung Kong, Kalhan Koul et al. · IEEE Journal of Solid-State Circuits · 2023 · 13 citations