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ORCIDKalhan Koul
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Journal Articles
- 2024
[j4]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 Myers, Brandon D'Agostino, Pranil Joshi, Stephen Richardson, Christopher Torng, Mark Horowitz, Priyanka Raina:
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 59(3): 947-959 (2024)- [j3]Jackson Melchert, Yuchen Mei, Kalhan Koul, Qiaoyi Liu, Mark Horowitz, Priyanka Raina:
Cascade: An Application Pipelining Toolkit for Coarse-Grained Reconfigurable Arrays. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(10): 3055-3067 (2024) - 2023
- [j2]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 Myers, Nestan Tsiskaridze, Stephen Richardson, Rick Bahr, Kayvon Fatahalian, Pat Hanrahan, Clark W. Barrett, Mark Horowitz, Christopher Torng, Fredrik Kjolstad, Priyanka Raina:
AHA: An Agile Approach to the Design of Coarse-Grained Reconfigurable Accelerators and Compilers. ACM Trans. Embed. Comput. Syst. 22(2): 35:1-35:34 (2023) - 2022
- [j1]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:
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 57(4): 1013-1026 (2022)
Conference and Workshop Papers
- 2024
- [c5]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:
Onyx: A Programmable Accelerator for Sparse Tensor Algebra. HCS 2024: 1-91 - [c4]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:
Onyx: A 12nm 756 GOPS/W Coarse-Grained Reconfigurable Array for Accelerating Dense and Sparse Applications. VLSI Technology and Circuits 2024: 1-2 - 2022
- [c3]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 Myers, Brandon D'Agostino, Pranil Joshi, Stephen Richardson, Rick Bahr, Christopher Torng, Mark Horowitz, Priyanka Raina:
Amber: Coarse-Grained Reconfigurable Array-Based SoC for Dense Linear Algebra Acceleration. HCS 2022: 1-30 - [c2]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 Myers, Brandon D'Agostino, Pranil Joshi, Stephen Richardson, Rick Bahr, Christopher Torng, Mark Horowitz, Priyanka Raina:
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 2022: 70-71 - 2021
- [c1]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:
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 2021: 1-2
Informal and Other Publications
- 2023
- [i2]Taeyoung Kong, Kalhan Koul, Priyanka Raina, Mark Horowitz, Christopher Torng:
Hardware Abstractions and Hardware Mechanisms to Support Multi-Task Execution on Coarse-Grained Reconfigurable Arrays. CoRR abs/2301.00861 (2023) - 2022
- [i1]Jackson Melchert, Yuchen Mei, Kalhan Koul, Qiaoyi Liu, Mark Horowitz, Priyanka Raina:
Cascade: An Application Pipelining Toolkit for Coarse-Grained Reconfigurable Arrays. CoRR abs/2211.13182 (2022)
Coauthor Index
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