Kalhan Koul

15 papers Journal 9Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Onyx: A 12-nm Programmable Accelerator for Dense and Sparse Applications.
IEEE J. Solid State Circuits
Kalhan Koul, Olivia Hsu, Yuchen Mei, Sai Gautham Ravipati, Maxwell Strange, Jackson Melchert, Alex Carsello, Taeyoung Kong, Po-Han Chen, Huifeng Ke, Keyi Zhang, Qiaoyi Liu, Gedeon Nyengele, Zhouhua Xie, Akhilesh Balasingam, Jayashree Adivarahan, Ritvik Sharma, Christopher Torng, Joel S. Emer, Fredrik Kjolstad, Mark Horowitz, Priyanka Raina
2025 J jnl
Designing Programmable Accelerators for Sparse Tensor Algebra.
IEEE Micro
Kalhan Koul, Zhouhua Xie, Maxwell Strange, Sai Gautham Ravipati, Bo-Wun Cheng, Olivia Hsu, Po-Han Chen, Mark Horowitz, Fredrik Kjolstad, Priyanka Raina
2025 J jnl
Opal: A 16-nm Coarse-Grained Reconfigurable Array SoC for Full Sparse Machine Learning Applications.
IEEE Solid State Circuits Lett.
Po-Han Chen, Bo-Wun Cheng, Michael Oduoza, Zhouhua Xie, Rupert Lu, Sai Gautham Ravipati, Kalhan Koul, Alex Carsello, Yuchen Mei, Mark Horowitz, Priyanka Raina
2025 — conf
Opal: A 16nm Coarse-Grained Reconfigurable Array for Full Sparse ML Applications.
CICC
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
2024 J jnl
Amber: A 16-nm System-on-Chip With a Coarse- Grained Reconfigurable Array for Flexible Acceleration of Dense Linear Algebra.
IEEE J. Solid State Circuits
Kathleen Feng, Taeyoung Kong, Kalhan Koul, Jackson Melchert, Alex Carsello, Qiaoyi Liu, Gedeon Nyengele, Maxwell Strange, Keyi Zhang, Ankita Nayak, Jeff Setter, James Thomas, Kavya Sreedhar, Po-Han Chen, Nikhil Bhagdikar, Zachary A. Myers, Brandon D'Agostino, Pranil Joshi, Stephen Richardson, Christopher Torng, Mark Horowitz, Priyanka Raina
2024 J jnl
Cascade: An Application Pipelining Toolkit for Coarse-Grained Reconfigurable Arrays.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Jackson Melchert, Yuchen Mei, Kalhan Koul, Qiaoyi Liu, Mark Horowitz, Priyanka Raina
2024 — conf
Onyx: A 12nm 756 GOPS/W Coarse-Grained Reconfigurable Array for Accelerating Dense and Sparse Applications.
VLSI Technology and Circuits
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, Akhilesh Balasingam, Jayashree Adivarahan, Ritvik Sharma, Zhouhua Xie, Christopher Torng, Joel S. Emer, Fredrik Kjolstad, Mark Horowitz, Priyanka Raina
2024 — conf
Onyx: A Programmable Accelerator for Sparse Tensor Algebra.
HCS
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, Akhilesh Balasingam, Jayashree Adivarahan, Ritvik Sharma, Zhouhua Xie, Christopher Torng, Joel S. Emer, Fredrik Kjolstad, Mark Horowitz, Priyanka Raina
2023 J jnl
AHA: An Agile Approach to the Design of Coarse-Grained Reconfigurable Accelerators and Compilers.
ACM Trans. Embed. Comput. Syst.
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, Caleb Donovick, Alex Carsello, Taeyoung Kong, Kathleen Feng, Dillon Huff, Ankita Nayak, Rajsekhar Setaluri, James Thomas, Nikhil Bhagdikar, David Durst, Zachary A. Myers, Nestan Tsiskaridze, Stephen Richardson, Rick Bahr, Kayvon Fatahalian, Pat Hanrahan, Clark W. Barrett, Mark Horowitz, Christopher Torng, Fredrik Kjolstad, Priyanka Raina
2023 J jnl
Hardware Abstractions and Hardware Mechanisms to Support Multi-Task Execution on Coarse-Grained Reconfigurable Arrays.
CoRR
Taeyoung Kong, Kalhan Koul, Priyanka Raina, Mark Horowitz, Christopher Torng
2022 — conf
Amber: A 367 GOPS, 538 GOPS/W 16nm SoC with a Coarse-Grained Reconfigurable Array for Flexible Acceleration of Dense Linear Algebra.
VLSI Technology and Circuits
Alex Carsello, Kathleen Feng, Taeyoung Kong, Kalhan Koul, Qiaoyi Liu, Jackson Melchert, Gedeon Nyengele, Maxwell Strange, Keyi Zhang, Ankita Nayak, Jeff Setter, James Thomas, Kavya Sreedhar, Po-Han Chen, Nikhil Bhagdikar, Zachary A. Myers, Brandon D'Agostino, Pranil Joshi, Stephen Richardson, Rick Bahr, Christopher Torng, Mark Horowitz, Priyanka Raina
2022 — conf
Amber: Coarse-Grained Reconfigurable Array-Based SoC for Dense Linear Algebra Acceleration.
HCS
Kathleen Feng, Alex Carsello, Taeyoung Kong, Kalhan Koul, Qiaoyi Liu, Jackson Melchert, Gedeon Nyengele, Maxwell Strange, Keyi Zhang, Ankita Nayak, Jeff Setter, James Thomas, Kavya Sreedhar, Po-Han Chen, Nikhil Bhagdikar, Zachary A. Myers, Brandon D'Agostino, Pranil Joshi, Stephen Richardson, Rick Bahr, Christopher Torng, Mark Horowitz, Priyanka Raina
2022 J jnl
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.
IEEE J. Solid State Circuits
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, Yu-Der Chih, Meng-Fan Chang, Guénolé Lallement, Boris Murmann, Subhasish Mitra, Priyanka Raina
2022 J jnl
Cascade: An Application Pipelining Toolkit for Coarse-Grained Reconfigurable Arrays.
CoRR
Jackson Melchert, Yuchen Mei, Kalhan Koul, Qiaoyi Liu, Mark Horowitz, Priyanka Raina
2021 — conf
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.
VLSI Circuits
Massimo Giordano, Kartik Prabhu, Kalhan Koul, Robert M. Radway, Albert Gural, Rohan Doshi, Zainab F. Khan, John W. Kustin, Timothy Liu, Gregorio B. Lopes, Victor Turbiner, Win-San Khwa, Yu-Der Chih, Meng-Fan Chang, Guénolé Lallement, Boris Murmann, Subhasish Mitra, Priyanka Raina