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Ameer Haj-Ali
Ameer Haj-Ali
Entrepreneur, PhD EECS UC Berkeley
Verified email at berkeley.edu - Homepage
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Cited by
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Ansor: Generating {High-Performance} tensor programs for deep learning
L Zheng, C Jia, M Sun, Z Wu, CH Yu, A Haj-Ali, Y Wang, J Yang, D Zhuo, ...
14th USENIX symposium on operating systems design and implementation (OSDI …, 2020
4002020
Gemmini: Enabling systematic deep-learning architecture evaluation via full-stack integration
H Genc, S Kim, A Amid, A Haj-Ali, V Iyer, P Prakash, J Zhao, D Grubb, ...
2021 58th ACM/IEEE Design Automation Conference (DAC), 769-774, 2021
2462021
Autockt: Deep reinforcement learning of analog circuit designs
K Settaluri, A Haj-Ali, Q Huang, K Hakhamaneshi, B Nikolic
2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 490-495, 2020
1622020
Neurovectorizer: End-to-end vectorization with deep reinforcement learning
A Haj-Ali, NK Ahmed, T Willke, YS Shao, K Asanovic, I Stoica
Proceedings of the 18th ACM/IEEE International Symposium on Code Generation …, 2020
1222020
Gemmini: An agile systolic array generator enabling systematic evaluations of deep-learning architectures
H Genc, A Haj-Ali, V Iyer, A Amid, H Mao, J Wright, C Schmidt, J Zhao, ...
arXiv preprint arXiv:1911.09925 3 (25), 15-17, 2019
1062019
SIMPLER MAGIC: Synthesis and Mapping of In-Memory Logic Executed in a Single Row to Improve Throughput
R Ben-Hur, R Ronen, A Haj-Ali, D Bhattacharjee, A Eliahu, N Peled, ...
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2019
942019
Memristive logic: A framework for evaluation and comparison
J Reuben, R Ben-Hur, N Wald, N Talati, AH Ali, PE Gaillardon, ...
2017 27th International Symposium on Power and Timing Modeling, Optimization …, 2017
862017
Efficient algorithms for in-memory fixed point multiplication using magic
A Haj-Ali, R Ben-Hur, N Wald, S Kvatinsky
2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018
822018
IMAGING: In-Memory AlGorithms for Image processiNG
A Haj-Ali, R Ben-Hur, N Wald, R Ronen, S Kvatinsky
IEEE Transactions on Circuits and Systems I: Regular Papers, 2018
622018
A View on Deep Reinforcement Learning in System Optimization
A Haj-Ali, N K. Ahmed, T Willke, J Gonzalez, K Asanovic, I Stoica
https://arxiv.org/abs/1908.01275, 2019
54*2019
mmpu—a real processing-in-memory architecture to combat the von neumann bottleneck
N Talati, R Ben-Hur, N Wald, A Haj-Ali, J Reuben, S Kvatinsky
Applications of Emerging Memory Technology: Beyond Storage, 191-213, 2020
502020
Autophase: Compiler phase-ordering for hls with deep reinforcement learning
Q Huang, A Haj-Ali, W Moses, J Xiang, I Stoica, K Asanovic, J Wawrzynek
2019 IEEE 27th Annual International Symposium on Field-Programmable Custom …, 2019
482019
Not in name alone: A memristive memory processing unit for real in-memory processing
A Haj-Ali, R Ben-Hur, N Wald, R Ronen, S Kvatinsky
IEEE Micro 38 (5), 13-21, 2018
432018
Tenset: A large-scale program performance dataset for learned tensor compilers
L Zheng, R Liu, J Shao, T Chen, JE Gonzalez, I Stoica, AH Ali
Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021
402021
Autophase: Juggling hls phase orderings in random forests with deep reinforcement learning
A Haj-Ali, QJ Huang, J Xiang, W Moses, K Asanovic, J Wawrzynek, ...
Proceedings of Machine Learning and Systems 2, 70-81, 2020
382020
Practical challenges in delivering the promises of real processing-in-memory machines
N Talati, AH Ali, RB Hur, N Wald, R Ronen, PE Gaillardon, S Kvatinsky
2018 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2018
312018
RLDRM: Closed loop dynamic cache allocation with deep reinforcement learning for network function virtualization
B Li, Y Wang, R Wang, C Tai, R Iyer, Z Zhou, A Herdrich, T Zhang, ...
2020 6th IEEE Conference on Network Softwarization (NetSoft), 335-343, 2020
212020
Protuner: tuning programs with monte carlo tree search
A Haj-Ali, H Genc, Q Huang, W Moses, J Wawrzynek, K Asanović, I Stoica
arXiv preprint arXiv:2005.13685, 2020
202020
Autophase: Juggling hls phase orderings in random forests with deep reinforcement learning
Q Huang, A Haj-Ali, W Moses, J Xiang, I Stoica, K Asanovic, J Wawrzynek
arXiv preprint arXiv:2003.00671, 2020
162020
Supporting the momentum training algorithm using a memristor-based synapse
T Greenberg-Toledo, R Mazor, A Haj-Ali, S Kvatinsky
IEEE Transactions on Circuits and Systems I: Regular Papers 66 (4), 1571-1583, 2019
162019
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