Amber: Coarse-Grained Reconfigurable Array-Based SoC for Dense Linear Algebra Acceleration. - Kathleen Feng; Alex Carsello; Taeyoung Kong; Kalhan Koul; Qiaoyi Liu; Jackson Melchert; Gedeon Nyengele; Maxwell Strange; Keyi Zhang; Ankita Nayak; Jeff Setter; James Thomas 003; et al. (HCS, 2022)

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; Kalhan Koul; Qiaoyi Liu; Jackson Melchert; Gedeon Nyengele; Maxwell Strange; Keyi Zhang; Ankita Nayak; Jeff Setter; James Thomas 003; et al. (VLSI Technology and Circuits, 2022)

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; Robert M. Radway; Massimo Giordano; Kalhan Koul; Rohan Doshi; John W. Kustin; Timothy Liu; Gregorio B. Lopes; Victor Turbiner; Win-San Khwa; et al. (IEEE J. Solid State Circuits, 2022)

Hardware Abstractions and Hardware Mechanisms to Support Multi-Task Execution on Coarse-Grained Reconfigurable Arrays. - Taeyoung Kong; Kalhan Koul; Priyanka Raina; Mark Horowitz; Christopher Torng (CoRR, 2023)

AHA: An Agile Approach to the Design of Coarse-Grained Reconfigurable Accelerators and Compilers. - Kalhan Koul; Jackson Melchert; Kavya Sreedhar; Leonard Truong; Gedeon Nyengele; Keyi Zhang; Qiaoyi Liu; Jeff Setter; Po-Han Chen; Yuchen Mei; Maxwell Strange; Ross Daly; et al. (ACM Trans. Embed. Comput. Syst., 2023)

Onyx: A Programmable Accelerator for Sparse Tensor Algebra. - Kalhan Koul; Maxwell Strange; Jackson Melchert; Alex Carsello; Yuchen Mei; Olivia Hsu; Taeyoung Kong; Po-Han Chen; Huifeng Ke; Keyi Zhang; Qiaoyi Liu; Gedeon Nyengele; et al. (HCS, 2024)

Onyx: A 12nm 756 GOPS/W Coarse-Grained Reconfigurable Array for Accelerating Dense and Sparse Applications. - Kalhan Koul; Maxwell Strange; Jackson Melchert; Alex Carsello; Yuchen Mei; Olivia Hsu; Taeyoung Kong; Po-Han Chen; Huifeng Ke; Keyi Zhang; Qiaoyi Liu; Gedeon Nyengele; et al. (VLSI Technology and Circuits, 2024)

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; Jackson Melchert; Alex Carsello; Qiaoyi Liu; Gedeon Nyengele; Maxwell Strange; Keyi Zhang; Ankita Nayak; Jeff Setter; James Thomas 003; et al. (IEEE J. Solid State Circuits, 2024)

Cascade: An Application Pipelining Toolkit for Coarse-Grained Reconfigurable Arrays. - Jackson Melchert; Yuchen Mei; Kalhan Koul; Qiaoyi Liu; Mark Horowitz; Priyanka Raina (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Opal: A 16nm Coarse-Grained Reconfigurable Array for Full Sparse ML Applications. - Po-Han Chen; Bo-Wun Cheng; Michael Oduoza; Zhouhua Xie; Kalhan Koul; Sai Gautham Ravipati; Yuchen Mei; Rupert Lu; Alex Carsello; Mark Horowitz; Priyanka Raina (CICC, 2025)

Designing Programmable Accelerators for Sparse Tensor Algebra. - Kalhan Koul; Zhouhua Xie; Maxwell Strange; Sai Gautham Ravipati; Bo-Wun Cheng; Olivia Hsu; Po-Han Chen; Mark Horowitz; Fredrik Kjolstad; Priyanka Raina (IEEE Micro, 2025)