| Planaria: Dynamic architecture fission for spatial multi-tenant acceleration of deep neural networks S Ghodrati, BH Ahn, JK Kim, S Kinzer, BR Yatham, N Alla, H Sharma, ... 2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture …, 2020 | 130 | 2020 |
| Flexigan: An end-to-end solution for fpga acceleration of generative adversarial networks A Yazdanbakhsh, M Brzozowski, B Khaleghi, S Ghodrati, K Samadi, ... 2018 IEEE 26th Annual International Symposium on Field-Programmable Custom …, 2018 | 85 | 2018 |
| Accelerating attention through gradient-based learned runtime pruning Z Li, S Ghodrati, A Yazdanbakhsh, H Esmaeilzadeh, M Kang Proceedings of the 49th Annual International Symposium on Computer …, 2022 | 38 | 2022 |
| Mixed-signal charge-domain acceleration of deep neural networks through interleaved bit-partitioned arithmetic S Ghodrati, H Sharma, S Kinzer, A Yazdanbakhsh, J Park, NS Kim, ... Proceedings of the ACM International Conference on Parallel Architectures …, 2020 | 33 | 2020 |
| Bit-parallel vector composability for neural acceleration S Ghodrati, H Sharma, C Young, NS Kim, H Esmaeilzadeh 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 29 | 2020 |
| VeriGOOD-ML: An open-source flow for automated ML hardware synthesis H Esmaeilzadeh, S Ghodrati, J Gu, S Guo, AB Kahng, JK Kim, S Kinzer, ... 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-7, 2021 | 26 | 2021 |
| A computational stack for cross-domain acceleration S Kinzer, JK Kim, S Ghodrati, B Yatham, A Althoff, D Mahajan, S Lerner, ... 2021 IEEE International Symposium on High-Performance Computer Architecture …, 2021 | 14 | 2021 |
| Tandem processor: Grappling with emerging operators in neural networks S Ghodrati, S Kinzer, H Xu, R Mahapatra, Y Kim, BH Ahn, DK Wang, ... Proceedings of the 29th ACM International Conference on Architectural …, 2024 | 8 | 2024 |
| Physically accurate learning-based performance prediction of hardware-accelerated ml algorithms H Esmaeilzadeh, S Ghodrati, AB Kahng, JK Kim, S Kinzer, S Kundu, ... Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD, 119-126, 2022 | 8 | 2022 |
| An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators H Esmaeilzadeh, S Ghodrati, A Kahng, JK Kim, S Kinzer, S Kundu, ... ACM Transactions on Design Automation of Electronic Systems 29 (4), 1-33, 2024 | 6 | 2024 |
| Data motion acceleration: Chaining cross-domain multi accelerators ST Wang, H Xu, A Mamandipoor, R Mahapatra, BH Ahn, S Ghodrati, ... 2024 IEEE International Symposium on High-Performance Computer Architecture …, 2024 | 6 | 2024 |
| Yin-yang: Programming abstractions for cross-domain multi-acceleration JK Kim, BH Ahn, S Kinzer, S Ghodrati, R Mahapatra, B Yatham, ST Wang, ... IEEE micro 42 (5), 89-98, 2022 | 5 | 2022 |
| Thesios: Synthesizing accurate counterfactual i/o traces from i/o samples PM Phothilimthana, S Kadekodi, S Ghodrati, S Moon, M Maas Proceedings of the 29th ACM International Conference on Architectural …, 2024 | 3 | 2024 |
| In-storage domain-specific acceleration for serverless computing R Mahapatra, S Ghodrati, BH Ahn, S Kinzer, ST Wang, H Xu, ... Proceedings of the 29th ACM International Conference on Architectural …, 2024 | 3 | 2024 |
| Domain-specific computational storage for serverless computing R Mahapatra, S Ghodrati, BH Ahn, S Kinzer, S Wang, H Xu, L Karthikeyan, ... arXiv e-prints, arXiv: 2303.03483, 2023 | 3 | 2023 |
| Performance analysis of CNN inference/training with convolution and non-convolution operations on ASIC accelerators H Esmaeilzadeh, S Ghodrati, AB Kahng, S Kinzer, SD Manasi, ... ACM Transactions on Design Automation of Electronic Systems 30 (1), 1-34, 2024 | 1 | 2024 |
| Performance Analysis of DNN Inference/Training with Convolution and non-Convolution Operations H Esmaeilzadeh, S Ghodrati, AB Kahng, S Kinzer, SD Manasi, ... arXiv preprint arXiv:2306.16767, 2023 | 1 | 2023 |
| Mesa: Microarchitecture extensions for spatial architecture generation DK Wang, J Lou, N Jin, E Mascarenhas, R Mahapatra, S Kinzer, ... Proceedings of the 50th Annual International Symposium on Computer …, 2023 | 1 | 2023 |
| Mixed-signal acceleration of deep neural networks S Ghodrati, H Esmaeilzadeh US Patent App. 17/596,734, 2022 | 1 | 2022 |
| Restoring the Broken Covenant Between Compilers and Deep Learning Accelerators S Kinzer, S Ghodrati, R Mahapatra, BH Ahn, E Mascarenhas, X Li, J Matai, ... arXiv preprint arXiv:2310.17912, 2023 | | 2023 |
Hadi EsmaeilzadehAssociate Professor; Computer Science and Engineering; University of California, San DiegoПотвърден имейл адрес: eng.ucsd.edu