| 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, ... MICRO, 2020 | 108 | 2020 |
| Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation BH Ahn, P Pilligundla, A Yazdanbakhsh, H Esmaeilzadeh ICLR, 2020 | 78 | 2020 |
| Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices BH Ahn, J Lee, JM Lin, HP Cheng, J Hou, H Esmaeilzadeh MLSys, 2020 | 59 | 2020 |
| FastStereoNet: A Fast Neural Architecture Search for Improving the Inference of Disparity Estimation on Resource-Limited Platforms M Loni, A Zoljodi, A Majd, BH Ahn, M Daneshtalab, M Sjödin, ... IEEE SMC, 2021 | 26 | 2021 |
| Reinforcement Learning and Adaptive Sampling for Optimized DNN Compilation BH Ahn, P Pilligundla, H Esmaeilzadeh ICML Workshop, 2019 | 25 | 2019 |
| Tandem processor: Grappling with emerging operators in neural networks S Ghodrati, S Kinzer, H Xu, R Mahapatra, Y Kim, BH Ahn, DK Wang, ... ASPLOS, 2024 | 5 | 2024 |
| Glimpse: Mathematical Embedding of Hardware Specification for Neural Compilation BH Ahn, S Kinzer, H Esmaeilzadeh DAC (Best Paper Award Nomination), 2022 | 5 | 2022 |
| 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, 2022 | 3 | 2022 |
| Exploring Efficient ML-based Scheduler for Microservices in Heterogenous Clusters R Mahapatra, BH Ahn, ST Wang, H Xu, H Esmaeilzadeh ISCA Workshop, 2022 | 3 | 2022 |
| Domain-Specific Computational Storage for Serverless Computing R Mahapatra, S Ghodrati, BH Ahn, S Kinzer, S Wang, H Xu, L Karthikeyan, ... arXiv preprint arXiv:2303.03483, 2023 | 2 | 2023 |
| In-Storage Domain-Specific Acceleration for Serverless Computing R Mahapatra, S Ghodrati, BH Ahn, S Kinzer, ST Wang, H Xu, ... ASPLOS, 2024 | 1 | 2024 |
| Data Motion Acceleration: Chaining Cross-Domain Multi Accelerators ST Wang, H Xu, A Mamandipoor, R Mahapatra, BH Ahn, S Ghodrati, ... HPCA, 2024 | 1 | 2024 |
| Protopia AI: Taking on the Missing Link in AI Privacy and Data Protection BH Ahn, DJ Synn, M Derkani, E Ebrahimi, H Esmaeilzadeh NeurIPS Demonstrations, 2021 | 1 | 2021 |
| 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 |
| Accelerating Federated Learning Through Attention on Local Model Updates P Assadi, BH Ahn, H Esmaeilzadeh NeurIPS Workshop, 2022 | | 2022 |
| AI for Optimized Execution of AI BH Ahn University of California, San Diego, 2022 | | 2022 |
| Responsible AI and Confidential Inferencing – NetApp AI with Protopia Image and Data Transformation S Thyagarajan, M Oglesby, BH Ahn, J Cwagenberg NetApp AI Use Cases, 2022 | | 2022 |
| Compilation and Optimization Techniques for Machine Learning Workloads BH Ahn University of California, San Diego, 2020 | | 2020 |
Hadi EsmaeilzadehAssociate Professor; Computer Science and Engineering; University of California, San Diego在 eng.ucsd.edu 的电子邮件经过验证
