| A survey on silicon photonics for deep learning FP Sunny, E Taheri, M Nikdast, S Pasricha ACM Journal of Emerging Technologies in Computing System 17 (4), 1-57, 2021 | 77 | 2021 |
| CrossLight: A cross-layer optimized silicon photonic neural network accelerator F Sunny, A Mirza, M Nikdast, S Pasricha 2021 58th ACM/IEEE Design Automation Conference (DAC), 1069-1074, 2021 | 70 | 2021 |
| ROBIN: A robust optical binary neural network accelerator FP Sunny, A Mirza, M Nikdast, S Pasricha ACM Transactions on Embedded Computing Systems (TECS) 20 (5s), 1-24, 2021 | 31 | 2021 |
| SONIC: A sparse neural network inference accelerator with silicon photonics for energy-efficient deep learning F Sunny, M Nikdast, S Pasricha 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC), 214-219, 2022 | 25 | 2022 |
| Silicon photonic microring resonators: A comprehensive design-space exploration and optimization under fabrication-process variations A Mirza, F Sunny, P Walsh, K Hassan, S Pasricha, M Nikdast IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021 | 25 | 2021 |
| ARXON: A Framework for Approximate Communication Over Photonic Networks-on-Chip FP Sunny, A Mirza, I Thakkar, M Nikdast, S Pasricha IEEE Transactions on Very Large Scale Integration (VLSI) Systems 29 (6 …, 2021 | 16 | 2021 |
| LORAX: Loss-aware approximations for energy-efficient silicon photonic networks-on-chip F Sunny, A Mirza, I Thakkar, S Pasricha, M Nikdast Proceedings of the 2020 on Great Lakes Symposium on VLSI, 235-240, 2020 | 16 | 2020 |
| Silicon photonic microring resonators: Design optimization under fabrication non-uniformity A Mirza, F Sunny, S Pasricha, M Nikdast 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 484-489, 2020 | 16 | 2020 |
| RecLight: A recurrent neural network accelerator with integrated silicon photonics F Sunny, M Nikdast, S Pasricha 2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 98-103, 2022 | 14 | 2022 |
| TRON: transformer neural network acceleration with non-coherent silicon photonics S Afifi, F Sunny, M Nikdast, S Pasricha Proceedings of the Great Lakes Symposium on VLSI 2023, 15-21, 2023 | 11 | 2023 |
| A silicon photonic accelerator for convolutional neural networks with heterogeneous quantization F Sunny, M Nikdast, S Pasricha Proceedings of the Great Lakes Symposium on VLSI 2022, 367-371, 2022 | 11 | 2022 |
| Machine learning accelerators in 2.5 d chiplet platforms with silicon photonics F Sunny, E Taheri, M Nikdast, S Pasricha 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2023 | 7 | 2023 |
| R-TOSS: A framework for real-time object detection using semi-structured pruning A Balasubramaniam, F Sunny, S Pasricha 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 6 | 2023 |
| Cross-Layer design for AI acceleration with non-coherent optical computing F Sunny, M Nikdast, S Pasricha Proceedings of the Great Lakes Symposium on VLSI 2023, 539-544, 2023 | 5 | 2023 |
| Inexact silicon photonics: From devices to applications A Shafiee, A Mirza, F Sunny, S Banerjee, K Chakrabarty, S Pasricha, ... Photonics in Switching and Computing, M3C. 2, 2021 | 5 | 2021 |
| Photonic networks-on-chip employing multilevel signaling: A cross-layer comparative study VSP Karempudi, F Sunny, IG Thakkar, SVR Chittamuru, M Nikdast, ... ACM Journal on Emerging Technologies in Computing Systems (JETC) 18 (3), 1-36, 2022 | 4 | 2022 |
| GHOST: A Graph Neural Network Accelerator using Silicon Photonics S Afifi, F Sunny, A Shafiee, M Nikdast, S Pasricha ACM Transactions on Embedded Computing Systems 22 (5s), 1-25, 2023 | 2 | 2023 |
| High-performance deep learning acceleration with silicon photonics FP Sunny, A Mirza, M Nikdast, S Pasricha Silicon Photonics for High-Performance Computing and Beyond, 367-382, 2021 | 2 | 2021 |
| Encode Inputs to Reduce Energy Usages in Analog Computation Acceleration F Sunny, S Tiku, SB Lakshman, P Kale US Patent App. 18/501,664, 2024 | | 2024 |
| Silicon Photonic 2.5 D Interposer Networks for Overcoming Communication Bottlenecks in Scale-out Machine Learning Hardware Accelerators F Sunny, E Taheri, M Nikdast, S Pasricha 2024 IEEE 42nd VLSI Test Symposium (VTS), 1-4, 2024 | | 2024 |
Sudeep PasrichaIEEE Fellow; AAIA Fellow; ACM Distinguished Member; Professor @ Colorado State University在 engr.colostate.edu 的电子邮件经过验证
