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2020 – today
- 2021
[c11]Hasan Genc, Seah Kim, Alon Amid, Ameer Haj-Ali, Vighnesh Iyer
, Pranav Prakash, Jerry Zhao, Daniel Grubb, Harrison Liew, Howard Mao, Albert J. Ou, Colin Schmidt, Samuel Steffl, John Charles Wright, Ion Stoica, Jonathan Ragan-Kelley, Krste Asanovic, Borivoje Nikolic, Yakun Sophia Shao:
Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration. DAC 2021: 769-774- [c10]Lianmin Zheng, Ruochen Liu, Junru Shao, Tianqi Chen, Joseph Gonzalez, Ion Stoica, Ameer Haj-Ali:
TenSet: A Large-scale Program Performance Dataset for Learned Tensor Compilers. NeurIPS Datasets and Benchmarks 2021 - 2020
- [b1]Ameer Haj-Ali:
Machine Learning in Compiler Optimization. University of California, Berkeley, USA, 2020 - [j4]Rotem Ben Hur, Ronny Ronen, Ameer Haj Ali, Debjyoti Bhattacharjee, Adi Eliahu, Natan Peled, Shahar Kvatinsky:
SIMPLER MAGIC: Synthesis and Mapping of In-Memory Logic Executed in a Single Row to Improve Throughput. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2434-2447 (2020) - [c9]Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Yakun Sophia Shao, Krste Asanovic, Ion Stoica:
NeuroVectorizer: end-to-end vectorization with deep reinforcement learning. CGO 2020: 242-255 - [c8]Keertana Settaluri, Ameer Haj-Ali, Qijing Huang, Kourosh Hakhamaneshi, Borivoje Nikolic:
AutoCkt: Deep Reinforcement Learning of Analog Circuit Designs. DATE 2020: 490-495 - [c7]Ameer Haj-Ali, Qijing (Jenny) Huang, William S. Moses, John Xiang, Krste Asanovic, John Wawrzynek, Ion Stoica:
AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning. MLSys 2020 - [c6]Bin Li, Yipeng Wang, Ren Wang, Charlie Tai, Ravi R. Iyer, Zhu Zhou, Andrew Herdrich, Tong Zhang, Ameer Haj-Ali, Ion Stoica, Krste Asanovic:
RLDRM: Closed Loop Dynamic Cache Allocation with Deep Reinforcement Learning for Network Function Virtualization. NetSoft 2020: 335-343 - [c5]Lianmin Zheng, Chengfan Jia, Minmin Sun, Zhao Wu, Cody Hao Yu, Ameer Haj-Ali, Yida Wang, Jun Yang, Danyang Zhuo, Koushik Sen, Joseph E. Gonzalez, Ion Stoica:
Ansor: Generating High-Performance Tensor Programs for Deep Learning. OSDI 2020: 863-879 - [i7]Qijing Huang, Ameer Haj-Ali, William S. Moses, John Xiang, Ion Stoica, Krste Asanovic, John Wawrzynek:
AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning. CoRR abs/2003.00671 (2020) - [i6]Ameer Haj-Ali, Hasan Genc, Qijing Huang, William S. Moses, John Wawrzynek, Krste Asanovic, Ion Stoica:
ProTuner: Tuning Programs with Monte Carlo Tree Search. CoRR abs/2005.13685 (2020) - [i5]Lianmin Zheng, Chengfan Jia, Minmin Sun, Zhao Wu, Cody Hao Yu, Ameer Haj-Ali, Yida Wang, Jun Yang, Danyang Zhuo, Koushik Sen, Joseph E. Gonzalez, Ion Stoica:
Ansor : Generating High-Performance Tensor Programs for Deep Learning. CoRR abs/2006.06762 (2020)
2010 – 2019
- 2019
- [j3]Tzofnat Greenberg-Toledo, Roee Mazor, Ameer Haj Ali, Shahar Kvatinsky:
Supporting the Momentum Training Algorithm Using a Memristor-Based Synapse. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(4): 1571-1583 (2019) - [c4]Qijing Huang, Ameer Haj-Ali, William S. Moses, John Xiang, Ion Stoica, Krste Asanovic, John Wawrzynek:
AutoPhase: Compiler Phase-Ordering for HLS with Deep Reinforcement Learning. FCCM 2019: 308 - [p1]John Reuben, Nishil Talati, Nimrod Wald, Rotem Ben Hur, Ameer Haj Ali, Pierre-Emmanuel Gaillardon, Shahar Kvatinsky:
A Taxonomy and Evaluation Framework for Memristive Logic. Handbook of Memristor Networks 2019: 1065-1099 - [i4]Ameer Haj Ali, Qijing Huang, William S. Moses, John Xiang, Ion Stoica, Krste Asanovic, John Wawrzynek:
AutoPhase: Compiler Phase-Ordering for High Level Synthesis with Deep Reinforcement Learning. CoRR abs/1901.04615 (2019) - [i3]Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Joseph Gonzalez, Krste Asanovic, Ion Stoica:
Deep Reinforcement Learning in System Optimization. CoRR abs/1908.01275 (2019) - [i2]Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Yakun Sophia Shao, Krste Asanovic, Ion Stoica:
NeuroVectorizer: End-to-End Vectorization with Deep Reinforcement Learning. CoRR abs/1909.13639 (2019) - [i1]Hasan Genc, Ameer Haj-Ali, Vighnesh Iyer, Alon Amid, Howard Mao, John Charles Wright, Colin Schmidt, Jerry Zhao, Albert J. Ou, Max Banister, Yakun Sophia Shao, Borivoje Nikolic, Ion Stoica, Krste Asanovic:
Gemmini: An Agile Systolic Array Generator Enabling Systematic Evaluations of Deep-Learning Architectures. CoRR abs/1911.09925 (2019) - 2018
- [j2]Ameer Haj Ali, Rotem Ben Hur, Nimrod Wald, Ronny Ronen, Shahar Kvatinsky:
Not in Name Alone: A Memristive Memory Processing Unit for Real In-Memory Processing. IEEE Micro 38(5): 13-21 (2018) - [j1]Ameer Haj Ali, Rotem Ben Hur, Nimrod Wald, Ronny Ronen, Shahar Kvatinsky:
IMAGING: In-Memory AlGorithms for Image processiNG. IEEE Trans. Circuits Syst. I Regul. Pap. 65-I(12): 4258-4271 (2018) - [c3]Nishil Talati, Ameer Haj Ali, Rotem Ben Hur, Nimrod Wald, Ronny Ronen, Pierre-Emmanuel Gaillardon, Shahar Kvatinsky:
Practical challenges in delivering the promises of real processing-in-memory machines. DATE 2018: 1628-1633 - [c2]Ameer Haj Ali, Rotem Ben Hur, Nimrod Wald, Shahar Kvatinsky:
Efficient Algorithms for In-Memory Fixed Point Multiplication Using MAGIC. ISCAS 2018: 1-5 - 2017
- [c1]John Reuben, Rotem Ben Hur, Nimrod Wald, Nishil Talati, Ameer Haj Ali, Pierre-Emmanuel Gaillardon, Shahar Kvatinsky:
Memristive logic: A framework for evaluation and comparison. PATMOS 2017: 1-8
Coauthor Index
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